Name: Regression Analysis for Statistics & Machine Learning in R
Price: 135.99 GBP
Availability: InStock

<strong>Become a browser automation master with Selenium WebDriver, JavaScript, and Node.js</strong>
        <p>Do you want to master Selenium and browser automation? Do you want to create scripts so you can automate boring tasks or test your web applications? If the answer is yes, then this course is for you. The author will take you from a complete Selenium Framework newbie to a master of browser automation.

Here is what you are going to gain from enrolling in this course:

&bull;	From the very first lecture, you'll learn how to use Selenium with JavaScript.
&bull;	We won't waste any time with boring lectures with slides. We start practicing right away, which is the best way to learn in my experience.
&bull;	After that, the author will show you how you can set up Selenium WebDriver with all the settings you need.
&bull;	With the practices he has prepared for you, he shows you how you can handle all kinds of form inputs and how to find elements on your web page as easily as possible.
&bull;	He teaches you about CSS and XPATH selectors, ways to find elements on web pages.
&bull;	Debugging is a very important skill for every programmer, so we are not going to avoid that topic. In the lectures he also shows you how you can debug your code in order to understand why you don't get the results you wanted.
&bull;	In the last section, he shows you how, even if you have no programming skills, you can record actions to be performed on web pages with the Selenium IDE Recorder and how to use custom variables in those recordings.
&bull;	When you have finished this course, you will be able to automate, scrape, and test any website?
Now, because he wants his students to always feel comfortable when they make a purchase, he has uploaded multiple free videos for you to view at any time.

All the code and supporting files for this course are available at -
https://github.com/PacktPublishing/Selenium-WebDriver-JavaScript-Automation-for-Beginners-2019-</p>
        <h2>What You Will Learn</h2><p>How to use Selenium IDE Recorder (no programming skills required)<br>How to set browser profiles with extensions and settings<br>How to use proxies in your browser automations<br>How to handle frames on your webpage<br>How to scrape websites and extract the data<br>How to set up Selenium WebDriver with the desired preferences<br>How to debug your code with VSCode<br>How to handle all kinds of form inputs<br>How to use CSS and XPATH selectors</p>
        <h2>Audience</h2><p>This course is for everyone who is keen to learn how to automate browser tasks and JavaScript developers who want to learn how to test their web applications.</p>
        <h2>Approach</h2><p>A complete course packed with step-by-step instructions, working examples, and helpful advice. This course is clearly divided into small parts that will help you understand each part individually and help you learn at your own pace.</p>
        <h2>Key Features</h2><p>This is a professional course on Selenium and UI automation tests * All you need to take this course is basic JavaScript knowledge  * Go from a complete Selenium Framework newbie to a master of browser automation</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/selenium-webdriver-javascript-automation-for-beginners-2019-</p>
        <h2>About the Author</h2><h3>Rangel Stoilov</h3><p>Rangel Stoilov - Web Developer and Entrepreneur
Rangel has been a web developer for 8 years now. First, he had started with Dreamweaver back in the days and went through Wordpress as a simple way to create websites. After that, he wanted to go further in web development so he started learning different programming languages such as C#, Java & JavaScript. He has a major in Java with Spring Framework and now he is pursuing to deepen his knowledge in different JavaScript frameworks. He also has a passion for Solidity and Smart Contracts as well as the Truffle Framework. He has also dived in the entrepreneurial spirit with Amazon publishing and trading on the Forex market as well as creating automated systems for trading.</p>
        <h2>Course Outline</h2><h4>1. First Selenium Automation</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Setting Our Environment</p><p style='margin: 0'>First Selenium Automation: Setting Our Environment</p></td></tr><tr><td style='padding: 15px;'><p>2. First Selenium Automation</p><p style='margin: 0'>Setting Our Environment: Setting Our Environment</p></td></tr></tbody></table><br><h4>2. Basic Selenium WebDriver Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is Selenium?</p><p style='margin: 0'>Basic Selenium WebDriver Setup: What is Selenium?</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Build Our Selenium Web driver?</p><p style='margin: 0'>Basic Selenium WebDriver Setup: How To Build Our Selenium Web driver?</p></td></tr></tbody></table><br><h4>3. Advanced WebDriver Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Browser Options</p><p style='margin: 0'>Advanced WebDriver Setup: Browser Options</p></td></tr><tr><td style='padding: 15px;'><p>2. Set A Browser Profile</p><p style='margin: 0'>Advanced WebDriver Setup: Set A Browser Profile</p></td></tr><tr><td style='padding: 15px;'><p>3. Setting a Proxy</p><p style='margin: 0'>Advanced WebDriver Setup: Setting a Proxy</p></td></tr></tbody></table><br><h4>4. Basic Interaction with Elements</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. How To Wait For Tasks To Finish?</p><p style='margin: 0'>Basic Interaction with Elements: How To Wait For Tasks To Finish?</p></td></tr><tr><td style='padding: 15px;'><p>2. Select Elements By Id and Name - Input Fields</p><p style='margin: 0'>Basic Interaction with Elements: Select Elements By Id and Name - Input Fields</p></td></tr></tbody></table><br><h4>5. Advanced Interaction With Elements (CSS Selectors)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Select Elements By CSS Selectors - Radio Buttons</p><p style='margin: 0'>Advanced Interaction With Elements (CSS Selectors): Select Elements By CSS Selectors - Radio Buttons</p></td></tr><tr><td style='padding: 15px;'><p>2. CSS Selectors Practice</p><p style='margin: 0'>Advanced Interaction With Elements (CSS Selectors): CSS Selectors Practice</p></td></tr></tbody></table><br><h4>6. Advanced Interaction With Elements (XPATH Selectors)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Xpath Selectors Practice - Checkbox Example</p><p style='margin: 0'>Advanced Interaction With Elements (XPATH Selectors): Xpath Selectors Practice - Checkbox Example</p></td></tr><tr><td style='padding: 15px;'><p>2. Dropdown Menu Example</p><p style='margin: 0'>Advanced Interaction With Elements (XPATH Selectors): Dropdown Menu Example</p></td></tr></tbody></table><br><h4>7. Advanced Interaction With Elements (Complex Input Fields)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Datepicker Forms</p><p style='margin: 0'>Advanced Interaction With Elements (Complex Input Fields): Datepicker Forms</p></td></tr><tr><td style='padding: 15px;'><p>2. File Upload Forms</p><p style='margin: 0'>Advanced Interaction With Elements (Complex Input Fields): File Upload Forms</p></td></tr><tr><td style='padding: 15px;'><p>3. IFrame Forms, Driver Actions and Debugging</p><p style='margin: 0'>Advanced Interaction With Elements (Complex Input Fields): IFrame Forms, Driver Actions and Debugging</p></td></tr></tbody></table><br><h4>8. Web Scraping With Selenium WebDriver</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Extracting Data From Tables - Web Scraping</p><p style='margin: 0'>Web Scraping With Selenium WebDriver: Extracting Data From Tables - Web Scraping</p></td></tr></tbody></table><br><h4>9. Selenium IDE Recorder - Record Your Tasks</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Selenium IDE Recording Setup and First Example</p><p style='margin: 0'>Selenium IDE Recorder - Record Your Tasks: Selenium IDE Recording Setup and First Example</p></td></tr><tr><td style='padding: 15px;'><p>2. Recording More Examples And Dealing With Datepicker</p><p style='margin: 0'>Selenium IDE Recorder - Record Your Tasks: Recording More Examples And Dealing With Datepicker</p></td></tr><tr><td style='padding: 15px;'><p>3. Handling IFrames With Selenium IDE Recorder</p><p style='margin: 0'>Selenium IDE Recorder - Record Your Tasks: Handling IFrames With Selenium IDE Recorder</p></td></tr><tr><td style='padding: 15px;'><p>4. Store Variables In Recordings</p><p style='margin: 0'>Selenium IDE Recorder - Record Your Tasks: Store Variables In Recordings</p></td></tr><tr><td style='padding: 15px;'><p>5. How To Save And Load Your Projects?</p><p style='margin: 0'>Selenium IDE Recorder - Record Your Tasks: How To Save And Load Your Projects?</p></td></tr></tbody></table>

Become a browser automation master with Selenium WebDriver, JavaScript, and Node.js
Do you want to master Selenium and browser automation? Do you want to create scripts so you can automate boring tasks or test your web applications? If the answer is yes, then this course is for you. The author will take you from a complete Selenium Framework newbie to a master of browser automation. Here is what you are going to gain from enrolling in this course: •	From the very first lecture, you'll learn how to use Selenium with JavaScript.
•	We won't waste any time with boring lectures with slides. We start practicing right away, which is the best way to learn in my experience.
•	After that, the author will show you how you can set up Selenium WebDriver with all the settings you need.
•	With the practices he has prepared for you, he shows you how you can handle all kinds of form inputs and how to find elements on your web page as easily as possible.
•	He teaches you about CSS and XPATH selectors, ways to find elements on web pages.
•	Debugging is a very important skill for every programmer, so we are not going to avoid that topic. In the lectures he also shows you how you can debug your code in order to understand why you don't get the results you wanted.
•	In the last section, he shows you how, even if you have no programming skills, you can record actions to be performed on web pages with the Selenium IDE Recorder and how to use custom variables in those recordings.
•	When you have finished this course, you will be able to automate, scrape, and test any website?
Now, because he wants his students to always feel comfortable when they make a purchase, he has uploaded multiple free videos for you to view at any time. All the code and supporting files for this course are available at -
https://github.com/PacktPublishing/Selenium-WebDriver-JavaScript-Automation-for-Beginners-2019-
What You Will Learn
How to use Selenium IDE Recorder (no programming skills required)
How to set browser profiles with extensions and settings
How to use proxies in your browser automations
How to handle frames on your webpage
How to scrape websites and extract the data
How to set up Selenium WebDriver with the desired preferences
How to debug your code with VSCode
How to handle all kinds of form inputs
How to use CSS and XPATH selectors
Audience
This course is for everyone who is keen to learn how to automate browser tasks and JavaScript developers who want to learn how to test their web applications.
Approach
A complete course packed with step-by-step instructions, working examples, and helpful advice. This course is clearly divided into small parts that will help you understand each part individually and help you learn at your own pace.
Key Features
This is a professional course on Selenium and UI automation tests * All you need to take this course is basic JavaScript knowledge * Go from a complete Selenium Framework newbie to a master of browser automation
Github Repo
https://github.com/packtpublishing/selenium-webdriver-javascript-automation-for-beginners-2019-
About the Author
Rangel Stoilov
Rangel Stoilov - Web Developer and Entrepreneur
Rangel has been a web developer for 8 years now. First, he had started with Dreamweaver back in the days and went through Wordpress as a simple way to create websites. After that, he wanted to go further in web development so he started learning different programming languages such as C#, Java & JavaScript. He has a major in Java with Spring Framework and now he is pursuing to deepen his knowledge in different JavaScript frameworks. He also has a passion for Solidity and Smart Contracts as well as the Truffle Framework. He has also dived in the entrepreneurial spirit with Amazon publishing and trading on the Forex market as well as creating automated systems for trading.
Course Outline
1. First Selenium Automation

1. Setting Our Environment
First Selenium Automation: Setting Our Environment
2. First Selenium Automation
Setting Our Environment: Setting Our Environment
2. Basic Selenium WebDriver Setup

1. What is Selenium?
Basic Selenium WebDriver Setup: What is Selenium?
2. How to Build Our Selenium Web driver?
Basic Selenium WebDriver Setup: How To Build Our Selenium Web driver?
3. Advanced WebDriver Setup

1. Browser Options
Advanced WebDriver Setup: Browser Options
2. Set A Browser Profile
Advanced WebDriver Setup: Set A Browser Profile
3. Setting a Proxy
Advanced WebDriver Setup: Setting a Proxy
4. Basic Interaction with Elements

1. How To Wait For Tasks To Finish?
Basic Interaction with Elements: How To Wait For Tasks To Finish?
2. Select Elements By Id and Name - Input Fields
Basic Interaction with Elements: Select Elements By Id and Name - Input Fields
5. Advanced Interaction With Elements (CSS Selectors)

1. Select Elements By CSS Selectors - Radio Buttons
Advanced Interaction With Elements (CSS Selectors): Select Elements By CSS Selectors - Radio Buttons
2. CSS Selectors Practice
Advanced Interaction With Elements (CSS Selectors): CSS Selectors Practice
6. Advanced Interaction With Elements (XPATH Selectors)

1. Xpath Selectors Practice - Checkbox Example
Advanced Interaction With Elements (XPATH Selectors): Xpath Selectors Practice - Checkbox Example
2. Dropdown Menu Example
Advanced Interaction With Elements (XPATH Selectors): Dropdown Menu Example
7. Advanced Interaction With Elements (Complex Input Fields)

1. Datepicker Forms
Advanced Interaction With Elements (Complex Input Fields): Datepicker Forms
2. File Upload Forms
Advanced Interaction With Elements (Complex Input Fields): File Upload Forms
3. IFrame Forms, Driver Actions and Debugging
Advanced Interaction With Elements (Complex Input Fields): IFrame Forms, Driver Actions and Debugging
8. Web Scraping With Selenium WebDriver

1. Extracting Data From Tables - Web Scraping
Web Scraping With Selenium WebDriver: Extracting Data From Tables - Web Scraping
9. Selenium IDE Recorder - Record Your Tasks

1. Selenium IDE Recording Setup and First Example
Selenium IDE Recorder - Record Your Tasks: Selenium IDE Recording Setup and First Example
2. Recording More Examples And Dealing With Datepicker
Selenium IDE Recorder - Record Your Tasks: Recording More Examples And Dealing With Datepicker
3. Handling IFrames With Selenium IDE Recorder
Selenium IDE Recorder - Record Your Tasks: Handling IFrames With Selenium IDE Recorder
4. Store Variables In Recordings
Selenium IDE Recorder - Record Your Tasks: Store Variables In Recordings
5. How To Save And Load Your Projects?
Selenium IDE Recorder - Record Your Tasks: How To Save And Load Your Projects?

Packt

JavaScript

Selenium WebDriver

Web Development

Selenium

Become a browser automation master with Selenium WebDriver, JavaScript, and Node.js

Selenium WebDriver: JavaScript Automation for Beginners 2019

General Admission

<strong>This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.</strong>
        <p>Instead of using hard-coded rules for performing something, artificial intelligence (AI) and machine learning (ML) prepare the machines to learn things from data to decipher the complex patterns automatically and then use it for building multiple use cases. If you too want to make applications and solve complex problems using AI and ML, then this course will help you to get started with the basics.

The course starts by highlighting the learning objectives and explains the rise of AI in today's world. Next, you will be introduced to the concepts of ML. You will learn to understand ML terminologies and learn how to train a model. Towards the end, you will become familiar with the classification of ML systems, including the topics of supervised and unsupervised learning, regression, clustering, and reinforcement.

By the end of this course, you will have a fundamental knowledge of AI and ML.

All the resource for this course are available at https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-1</p>
        <h2>What You Will Learn</h2><p>Find out why machine learning (ML) is called a black box<br>Get to grips with the features and labels of ML<br>Uncover techniques for training ML models<br>Find out the differences between supervised and unsupervised learning<br>Understand regression, clustering, and dimension reduction</p>
        <h2>Audience</h2><p>If you are a developer, product or project manager, engineer, or a data science enthusiast, who is looking to learn the fundamentals of artificial intelligence (AI) and machine learning (ML), this course is for you. There is no prerequisite to start this course as it is specially designed for absolute beginners.</p>
        <h2>Approach</h2><p>With the help of simple narration, interesting examples, and practical tips, this course helps you to get started with artificial intelligence (AI) and machine learning (ML).</p>
        <h2>Key Features</h2><p>Learn the basics of artificial intelligence (AI), machine learning (ML), and deep learning * Find out how ML helps in training a model * Discover how ML systems are classified</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-1</p>
        <h2>About the Author</h2><h3>Idan Gabrieli</h3><p>Idan Gabrieli has worked in various engineering positions in Israel's high-tech industry. Idan has gained extensive experience with hundreds of business companies, transforming their challenges and opportunities into practical use cases and leveraging cutting-edge technologies.

Idan's expertise spans multiple domains, including cloud computing, machine learning, data science, and electronics. Since 2014, Idan has created and published online courses on various topics worldwide. Idan is recognized as a high-rated instructor by leading educational providers.

Idan simplifies complex technology and provides high-quality educational content with specific learning objectives that are well-structured, combining various multimedia teaching options.</p>
        <h2>Course Outline</h2><h4>1. Getting Started with Level 1!</h4><p></p><br><h4>2. The Rise of Artificial Intelligence</h4><p></p><br><h4>3. Introduction to Machine Learning</h4><p></p><br><h4>4. Classification of ML Systems</h4><p></p><br><h4>5. Course Summary</h4><p></p>

This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.
Instead of using hard-coded rules for performing something, artificial intelligence (AI) and machine learning (ML) prepare the machines to learn things from data to decipher the complex patterns automatically and then use it for building multiple use cases. If you too want to make applications and solve complex problems using AI and ML, then this course will help you to get started with the basics. The course starts by highlighting the learning objectives and explains the rise of AI in today's world. Next, you will be introduced to the concepts of ML. You will learn to understand ML terminologies and learn how to train a model. Towards the end, you will become familiar with the classification of ML systems, including the topics of supervised and unsupervised learning, regression, clustering, and reinforcement. By the end of this course, you will have a fundamental knowledge of AI and ML. All the resource for this course are available at https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-1
What You Will Learn
Find out why machine learning (ML) is called a black box
Get to grips with the features and labels of ML
Uncover techniques for training ML models
Find out the differences between supervised and unsupervised learning
Understand regression, clustering, and dimension reduction
Audience
If you are a developer, product or project manager, engineer, or a data science enthusiast, who is looking to learn the fundamentals of artificial intelligence (AI) and machine learning (ML), this course is for you. There is no prerequisite to start this course as it is specially designed for absolute beginners.
Approach
With the help of simple narration, interesting examples, and practical tips, this course helps you to get started with artificial intelligence (AI) and machine learning (ML).
Key Features
Learn the basics of artificial intelligence (AI), machine learning (ML), and deep learning * Find out how ML helps in training a model * Discover how ML systems are classified
Github Repo
https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-1
About the Author
Idan Gabrieli
Idan Gabrieli has worked in various engineering positions in Israel's high-tech industry. Idan has gained extensive experience with hundreds of business companies, transforming their challenges and opportunities into practical use cases and leveraging cutting-edge technologies. Idan's expertise spans multiple domains, including cloud computing, machine learning, data science, and electronics. Since 2014, Idan has created and published online courses on various topics worldwide. Idan is recognized as a high-rated instructor by leading educational providers. Idan simplifies complex technology and provides high-quality educational content with specific learning objectives that are well-structured, combining various multimedia teaching options.
Course Outline
1. Getting Started with Level 1!

2. The Rise of Artificial Intelligence

3. Introduction to Machine Learning

4. Classification of ML Systems

5. Course Summary


Deep Learning

This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.

Machine Learning for Absolute Beginners - Level 1

<strong>The course is intended to help people learn Azure concepts quickly and give enough practice exercises to get them started with their cloud journey with a specific focus on Microsoft Azure.</strong>
        <p>The primary reason for Microsoft Azure's immense popularity is that it supports a wide range of operating systems, tools, databases, programming languages, and devices.

This course starts off by introducing Microsoft's platform for the cloud. You will then explore Azure web services and storage. In the concluding sections, you will deploy a Windows Azure cloud service and implement advanced cloud service functionalities.

By the end of this course, you will become skilled enough to confidently operate Microsoft Azure to achieve business objectives.

This course can be taken by absolute beginners including candidates with non-technical backgrounds, such as those involved in selling or purchasing cloud-based solutions and services, or who have some involvement with cloud-based solutions and services, as well as those with a technical background who want to brush up their fundamentals around cloud services and Azure.

All the codes and supporting files for this course will be available at https://github.com/PacktPublishing/Learning-Microsoft-Azure-A-Hands-On-Training</p>
        <h2>What You Will Learn</h2><p>Deploy and use storage service, computer service, and more<br>Get to grips with Azure fundamental concepts<br>Perform cloud computing using Microsoft Azure<br>Land a job in cloud computing<br>Master a mandatory in-demand cloud computing skill<br>Explore Windows Azure Blob and table storage</p>
        <h2>Audience</h2><p>If you are an IT employee of an Azure-based IT organization, a system administrator who uses cloud services, or someone who just wants to learn the latest cloud-based technology, this course will be your perfect companion.</p>
        <h2>Approach</h2><p>This course intends to make you think like a solution architect and find a solution to a given problem. It is designed to help IT professionals in starting with Windows PowerShell scripting. Each section comprises of hands-on instructions, interesting and illustrative examples, and clear explanations.</p>
        <h2>Key Features</h2><p>Build a solid foundation of cloud concepts and Azure architectural components * Learn through Azure real-world examples to clear the AZ-900 exam * Explore real-world small projects and practice labs</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/learning-microsoft-azure-a-hands-on-training</p>
        <h2>About the Author</h2><h3>Vijay Saini</h3><p>Vijay Saini is an accomplished IT professional who brings a wealth of expertise to the table. With a diversified background across multiple domains, Vijay has proven himself a valuable asset to his current role as a leading cloud service provider. His strong focus on automation has resulted in significant cost savings for the business, making him a valuable asset to the team.

Vijay is highly knowledgeable in the areas of Microsoft Azure, cloud technologies, DBMS, and Python, and is a specialist in automation using PowerShell. With a passion for teaching, Vijay has leveraged e-learning platforms to share his expertise with others, helping them develop their own skills and knowledge.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Essential Cloud Concepts</h4><p></p><br><h4>3. Create Azure Account and Portal Walk-through</h4><p></p><br><h4>4. Project 1 : Host a Static Website in Azure</h4><p></p><br><h4>5. Project 2: Deploy A Website on Azure Virtual Machine</h4><p></p><br><h4>6. What is Next?</h4><p></p>

The course is intended to help people learn Azure concepts quickly and give enough practice exercises to get them started with their cloud journey with a specific focus on Microsoft Azure.
The primary reason for Microsoft Azure's immense popularity is that it supports a wide range of operating systems, tools, databases, programming languages, and devices. This course starts off by introducing Microsoft's platform for the cloud. You will then explore Azure web services and storage. In the concluding sections, you will deploy a Windows Azure cloud service and implement advanced cloud service functionalities. By the end of this course, you will become skilled enough to confidently operate Microsoft Azure to achieve business objectives. This course can be taken by absolute beginners including candidates with non-technical backgrounds, such as those involved in selling or purchasing cloud-based solutions and services, or who have some involvement with cloud-based solutions and services, as well as those with a technical background who want to brush up their fundamentals around cloud services and Azure. All the codes and supporting files for this course will be available at https://github.com/PacktPublishing/Learning-Microsoft-Azure-A-Hands-On-Training
What You Will Learn
Deploy and use storage service, computer service, and more
Get to grips with Azure fundamental concepts
Perform cloud computing using Microsoft Azure
Land a job in cloud computing
Master a mandatory in-demand cloud computing skill
Explore Windows Azure Blob and table storage
Audience
If you are an IT employee of an Azure-based IT organization, a system administrator who uses cloud services, or someone who just wants to learn the latest cloud-based technology, this course will be your perfect companion.
Approach
This course intends to make you think like a solution architect and find a solution to a given problem. It is designed to help IT professionals in starting with Windows PowerShell scripting. Each section comprises of hands-on instructions, interesting and illustrative examples, and clear explanations.
Key Features
Build a solid foundation of cloud concepts and Azure architectural components * Learn through Azure real-world examples to clear the AZ-900 exam * Explore real-world small projects and practice labs
Github Repo
https://github.com/packtpublishing/learning-microsoft-azure-a-hands-on-training
About the Author
Vijay Saini
Vijay Saini is an accomplished IT professional who brings a wealth of expertise to the table. With a diversified background across multiple domains, Vijay has proven himself a valuable asset to his current role as a leading cloud service provider. His strong focus on automation has resulted in significant cost savings for the business, making him a valuable asset to the team. Vijay is highly knowledgeable in the areas of Microsoft Azure, cloud technologies, DBMS, and Python, and is a specialist in automation using PowerShell. With a passion for teaching, Vijay has leveraged e-learning platforms to share his expertise with others, helping them develop their own skills and knowledge.
Course Outline
1. Introduction

2. Essential Cloud Concepts

3. Create Azure Account and Portal Walk-through

4. Project 1 : Host a Static Website in Azure

5. Project 2: Deploy A Website on Azure Virtual Machine

6. What is Next?


Cloud Computing

Microsoft

Microsoft Azure

Security

The course is intended to help people learn Azure concepts quickly and give enough practice exercises to get them started with their cloud journey with a specific focus on Microsoft Azure.

Learning Microsoft Azure: A Hands-On Training

<strong>This is a step-by-step course including everything you need in order to get started and learn all the fundamental core concepts of web design and web development. In this course, learn how to build amazing interactive and dynamic websites using HTML, CSS, JavaScript, and jQuery.</strong>
        <p>This course starts from scratch, teaches you how to create websites, and covers everything from the basic syntax (all the common tags used to develop web content and how and where you can write HTML) top resources and links included.

You will learn about HTML structure within web pages; explore HTML5 semantic elements; build your own HTML template; create HTML lists, hyperlinks, and add images; build tables for even more HTML structure; create forms with in-depth form examples and HTML tag explanations; add iframes and more cool HTML elements; create your own mini-HTML site using only HTML; and everything you want to know about CSS, JavaScript, JavaScript Document Object Model (DOM), JSON, AJAX, and jQuery.

By the end of this course, you will be able to build amazing interactive and dynamic websites using HTML, CSS, JavaScript, and jQuery.

The code files for this course are available at https://github.com/PacktPublishing/HTML-CSS-and-JavaScript-for-Beginners---A-Web-Design-Course.</p>
        <h2>What You Will Learn</h2><p>Create websites using HTML and CSS<br>Create interactive content online using JavaScript<br>Build a real-world creative and modern website<br>Coding tips and resources for best practices to build a professional website<br>Learn JavaScript Document Object Model (DOM)<br>Learn to implement JSON, AJAX, and jQuery in a website</p>
        <h2>Audience</h2><p>This course is for everyone who wants to learn web development skills, anyone who wants to learn HTML5, CSS3, and JavaScript, and web design beginners.</p>
        <h2>Approach</h2><p>This course is a complete hands-on course with step-by-step learning and includes everything you need in order to get started and learn all the fundamental core concepts of web design and web development.</p>
        <h2>Key Features</h2><p>Learn how to build interactive and dynamic websites using HTML, CSS, JavaScript, and jQuery * Learn how to create interactive content online using JavaScript * Learn how to iterate through all the JSON data objects and output them into your HTML page</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/HTML-CSS-and-JavaScript-for-Beginners---A-Web-Design-Course</p>
        <h2>About the Author</h2><h3>Laurence Svekis</h3><p>Laurence Svekis is an experienced web application developer. He has worked on multiple enterprise-level applications, hundreds of websites, business solutions, and many unique and innovative web applications. He has expertise in HTML, CSS, JavaScript, jQuery, Bootstrap, PHP, and MySQL and is also passionate about web technologies, web application development, programming, and online marketing with a strong focus on social media and SEO. He is always willing to help his students experience what technology has to offer and looks forward to sharing his knowledge and experiences with the world.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Web Development and Web Design</h4><p></p><br><h4>2. Learn HTML Course Section</h4><p></p><br><h4>3. CSS Section</h4><p></p><br><h4>4. Learn JavaScript Section</h4><p></p><br><h4>5. JavaScript Document Object Model</h4><p></p><br><h4>6. JavaScript JSON and AJAX</h4><p></p><br><h4>7. Learn jQuery</h4><p></p><br><h4>8. Web Design and Development: Questions, Answers, and Code Snippets</h4><p></p>

This is a step-by-step course including everything you need in order to get started and learn all the fundamental core concepts of web design and web development. In this course, learn how to build amazing interactive and dynamic websites using HTML, CSS, JavaScript, and jQuery.
This course starts from scratch, teaches you how to create websites, and covers everything from the basic syntax (all the common tags used to develop web content and how and where you can write HTML) top resources and links included. You will learn about HTML structure within web pages; explore HTML5 semantic elements; build your own HTML template; create HTML lists, hyperlinks, and add images; build tables for even more HTML structure; create forms with in-depth form examples and HTML tag explanations; add iframes and more cool HTML elements; create your own mini-HTML site using only HTML; and everything you want to know about CSS, JavaScript, JavaScript Document Object Model (DOM), JSON, AJAX, and jQuery. By the end of this course, you will be able to build amazing interactive and dynamic websites using HTML, CSS, JavaScript, and jQuery. The code files for this course are available at https://github.com/PacktPublishing/HTML-CSS-and-JavaScript-for-Beginners---A-Web-Design-Course.
What You Will Learn
Create websites using HTML and CSS
Create interactive content online using JavaScript
Build a real-world creative and modern website
Coding tips and resources for best practices to build a professional website
Learn JavaScript Document Object Model (DOM)
Learn to implement JSON, AJAX, and jQuery in a website
Audience
This course is for everyone who wants to learn web development skills, anyone who wants to learn HTML5, CSS3, and JavaScript, and web design beginners.
Approach
This course is a complete hands-on course with step-by-step learning and includes everything you need in order to get started and learn all the fundamental core concepts of web design and web development.
Key Features
Learn how to build interactive and dynamic websites using HTML, CSS, JavaScript, and jQuery * Learn how to create interactive content online using JavaScript * Learn how to iterate through all the JSON data objects and output them into your HTML page
Github Repo
https://github.com/PacktPublishing/HTML-CSS-and-JavaScript-for-Beginners---A-Web-Design-Course
About the Author
Laurence Svekis
Laurence Svekis is an experienced web application developer. He has worked on multiple enterprise-level applications, hundreds of websites, business solutions, and many unique and innovative web applications. He has expertise in HTML, CSS, JavaScript, jQuery, Bootstrap, PHP, and MySQL and is also passionate about web technologies, web application development, programming, and online marketing with a strong focus on social media and SEO. He is always willing to help his students experience what technology has to offer and looks forward to sharing his knowledge and experiences with the world.
Course Outline
1. Introduction to Web Development and Web Design

2. Learn HTML Course Section

3. CSS Section

4. Learn JavaScript Section

5. JavaScript Document Object Model

6. JavaScript JSON and AJAX

7. Learn jQuery

8. Web Design and Development: Questions, Answers, and Code Snippets


AJAX

HTML

Web Design

jQuery

This is a step-by-step course including everything you need in order to get started and learn all the fundamental core concepts of web design and web development. In this course, learn how to build amazing interactive and dynamic websites using HTML, CSS, JavaScript, and jQuery.

HTML CSS and JavaScript for Beginners - A Web Design Course

<strong>Learn Kubernetes from scratch with this course and gain the skills necessary to deploy and manage containerized applications.</strong>
        <p>The demand for DevOps engineers in the IT industry is ever-increasing, with the average Silicon Valley salary for a DevOps engineer being 20% higher than that of a software engineer. Knowledge of Kubernetes is essential for any DevOps professional, and this course covers everything you need to get up and running with Kubernetes. The most important part of the course is the series of hands-on coding exercises that accompany each major concept, designed to help you deploy your own applications to a Kubernetes platform confidently.
The course starts with an introduction to Kubernetes, enabling you to learn about Docker and containers. Next, you'll set up a lab using VirtualBox and work with Minikube to create a Kubernetes cluster. As you advance, you'll use YAML files to create and deploy Pods and understand how containers/Pods communicate with one another in Kubernetes. You'll also study Kubernetes services and the architecture of Kubernetes microservices. Toward the end, you'll deploy microservices applications to a Google Cloud Platform (GCP) Kubernetes cluster and set up a multi-node Kubernetes cluster using kubeadm.
By the end of this course, you'll have developed the skill set needed to start your career as a DevOps engineer.

All resources and code files are uploaded here: https://github.com/packtpublishing/-kubernetes-for-absolute-beginners---hands-on</p>
        <h2>What You Will Learn</h2><p>Gain a basic understanding of Kubernetes fundamentals<br>Develop Kubernetes configuration files in YAML<br>Use Kubectl commands to deploy a Pod<br>Deploy Kubernetes clusters on local and cloud systems<br>Set up ReplicaSets, services, and deployments on Kubernetes<br>Enable communication between applications using Kubernetes services</p>
        <h2>Audience</h2><p>This course is for beginners who want to learn how to deploy applications on a Kubernetes platform.</p>
        <h2>Approach</h2><p>With the help of lectures, examples, and demo videos, this course helps you get started with Kubernetes. The hands-on coding exercises will help you develop your own services using Kubernetes configuration files for different use cases in your browser.</p>
        <h2>Key Features</h2><p>Understand the concepts of Kubernetes, Docker, containers, and Pods * Get to grips with the structure and application of YAML files * Find out how to deploy Kubernetes applications on local machines and to the cloud</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/-kubernetes-for-absolute-beginners---hands-on</p>
        <h2>About the Author</h2><h3>Mumshad Mannambeth</h3><p>Mumshad, an IT Solutions Architect, specializes in Cloud Native Computing, Automation, and DevOps. As the founder of KodeKloud, a Certified Kubernetes Training Partner, he's deeply passionate about technology and education. His teaching philosophy revolves around the belief that the best way to learn is through hands-on experience and an enjoyable approach. Mumshad has authored multiple courses on DevOps, Cloud, and Automation, emphasizing interactive, hands-on learning experiences.

KodeKloud, an online training institution, is dedicated to delivering top-tier, practical training in DevOps and Automation Technologies, including Docker, Kubernetes, OpenShift, Ansible, Chef, Puppet, and more. With a global student base of over 500,000, KodeKloud's courses provide engaging and interactive ways to learn new technology, making the learning process both enjoyable and insightful.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Kubernetes Overview</h4><p></p><br><h4>3. Set Up Kubernetes</h4><p></p><br><h4>4. Kubernetes Concepts</h4><p></p><br><h4>5. YAML Introduction</h4><p></p><br><h4>6. Kubernetes Concepts - Pods, ReplicaSets, Deployments</h4><p></p><br><h4>7. Networking in Kubernetes</h4><p></p><br><h4>8. Services</h4><p></p><br><h4>9. Microservices Architecture</h4><p></p><br><h4>10. Kubernetes on Cloud</h4><p></p><br><h4>11. Conclusion</h4><p></p><br><h4>12. Appendix - Set Up Multi-Node Cluster Using kubeadm</h4><p></p>

Learn Kubernetes from scratch with this course and gain the skills necessary to deploy and manage containerized applications.
The demand for DevOps engineers in the IT industry is ever-increasing, with the average Silicon Valley salary for a DevOps engineer being 20% higher than that of a software engineer. Knowledge of Kubernetes is essential for any DevOps professional, and this course covers everything you need to get up and running with Kubernetes. The most important part of the course is the series of hands-on coding exercises that accompany each major concept, designed to help you deploy your own applications to a Kubernetes platform confidently.
The course starts with an introduction to Kubernetes, enabling you to learn about Docker and containers. Next, you'll set up a lab using VirtualBox and work with Minikube to create a Kubernetes cluster. As you advance, you'll use YAML files to create and deploy Pods and understand how containers/Pods communicate with one another in Kubernetes. You'll also study Kubernetes services and the architecture of Kubernetes microservices. Toward the end, you'll deploy microservices applications to a Google Cloud Platform (GCP) Kubernetes cluster and set up a multi-node Kubernetes cluster using kubeadm.
By the end of this course, you'll have developed the skill set needed to start your career as a DevOps engineer. All resources and code files are uploaded here: https://github.com/packtpublishing/-kubernetes-for-absolute-beginners---hands-on
What You Will Learn
Gain a basic understanding of Kubernetes fundamentals
Develop Kubernetes configuration files in YAML
Use Kubectl commands to deploy a Pod
Deploy Kubernetes clusters on local and cloud systems
Set up ReplicaSets, services, and deployments on Kubernetes
Enable communication between applications using Kubernetes services
Audience
This course is for beginners who want to learn how to deploy applications on a Kubernetes platform.
Approach
With the help of lectures, examples, and demo videos, this course helps you get started with Kubernetes. The hands-on coding exercises will help you develop your own services using Kubernetes configuration files for different use cases in your browser.
Key Features
Understand the concepts of Kubernetes, Docker, containers, and Pods * Get to grips with the structure and application of YAML files * Find out how to deploy Kubernetes applications on local machines and to the cloud
Github Repo
https://github.com/packtpublishing/-kubernetes-for-absolute-beginners---hands-on
About the Author
Mumshad Mannambeth
Mumshad, an IT Solutions Architect, specializes in Cloud Native Computing, Automation, and DevOps. As the founder of KodeKloud, a Certified Kubernetes Training Partner, he's deeply passionate about technology and education. His teaching philosophy revolves around the belief that the best way to learn is through hands-on experience and an enjoyable approach. Mumshad has authored multiple courses on DevOps, Cloud, and Automation, emphasizing interactive, hands-on learning experiences. KodeKloud, an online training institution, is dedicated to delivering top-tier, practical training in DevOps and Automation Technologies, including Docker, Kubernetes, OpenShift, Ansible, Chef, Puppet, and more. With a global student base of over 500,000, KodeKloud's courses provide engaging and interactive ways to learn new technology, making the learning process both enjoyable and insightful.
Course Outline
1. Introduction

2. Kubernetes Overview

3. Set Up Kubernetes

4. Kubernetes Concepts

5. YAML Introduction

6. Kubernetes Concepts - Pods, ReplicaSets, Deployments

7. Networking in Kubernetes

8. Services

9. Microservices Architecture

10. Kubernetes on Cloud

11. Conclusion

12. Appendix - Set Up Multi-Node Cluster Using kubeadm


Kubernetes

Learn Kubernetes from scratch with this course and gain the skills necessary to deploy and manage containerized applications.

Kubernetes for the Absolute Beginners - Hands-On

<strong>The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.</strong>
        <p>Machine learning is a field of computer science through which you can create complex models that perform multiple functions using mathematical input. Python is a popular choice to create machine learning models due to a plethora of libraries easily accessible. This course takes you through this impressive combination of Python and machine learning, teaching you the basics of machine learning to create your own projects.

You'll begin learning about different types of machine learning models and how to choose the relevant ones for your project. You'll learn to optimize this model and apply performance metrics to track its performance. You'll also learn topics like regression, classification, and clustering to improve the performance of your model. You'll learn the basics of neural networks and use scikit-learn to perform calculations in your project.

By the end of this course, you'll have created a face recognition application using everything you've learned in this course.

The code bundle for this course is available at https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners</p>
        <h2>What You Will Learn</h2><p>Train different types of machine learning models for your project<br>Prepare and clean data for your project<br>Optimize your machine learning model to best suit your project needs<br>Build your own machine learning model from scratch<br>Apply performance metrics to track the performance of your model<br>Use scikit-learn to perform calculations in your project</p>
        <h2>Audience</h2><p>This course is for Python developers who are new in the field of machine learning. No prior knowledge or experience of machine learning is required. A basic understanding of Python programming will be needed here.</p>
        <h2>Approach</h2><p>This is a hands-on course that takes you through all the machine learning concepts step-by-step while showing you real-world applications for each step.</p>
        <h2>Key Features</h2><p>Build a face recognition application from scratch * Prepare and train your data for your projects * Learn real-world applications of your algorithms</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners</p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><br><h4>2. Why Machine Learning</h4><p></p><br><h4>3. Process of Learning from Data</h4><p></p><br><h4>4. Machine Learning Methods</h4><p></p><br><h4>5. Data Preparation and Preprocessing</h4><p></p><br><h4>6. Machine Learning Models and Optimization</h4><p></p><br><h4>7. Building Machine Learning Model from Scratch</h4><p></p><br><h4>8. Overfitting, Underfitting and Generalization</h4><p></p><br><h4>9. Machine Learning Model Performance Metrics</h4><p></p><br><h4>10. Dimensionality Reduction</h4><p></p><br><h4>11. Deep Learning Overview</h4><p></p><br><h4>12. Hands-on Machine Learning Project Using Scikit-Learn</h4><p></p><br><h4>13. OPTIONAL Section- Mathematics Wrap-up</h4><p></p>

The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.
Machine learning is a field of computer science through which you can create complex models that perform multiple functions using mathematical input. Python is a popular choice to create machine learning models due to a plethora of libraries easily accessible. This course takes you through this impressive combination of Python and machine learning, teaching you the basics of machine learning to create your own projects. You'll begin learning about different types of machine learning models and how to choose the relevant ones for your project. You'll learn to optimize this model and apply performance metrics to track its performance. You'll also learn topics like regression, classification, and clustering to improve the performance of your model. You'll learn the basics of neural networks and use scikit-learn to perform calculations in your project. By the end of this course, you'll have created a face recognition application using everything you've learned in this course. The code bundle for this course is available at https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners
What You Will Learn
Train different types of machine learning models for your project
Prepare and clean data for your project
Optimize your machine learning model to best suit your project needs
Build your own machine learning model from scratch
Apply performance metrics to track the performance of your model
Use scikit-learn to perform calculations in your project
Audience
This course is for Python developers who are new in the field of machine learning. No prior knowledge or experience of machine learning is required. A basic understanding of Python programming will be needed here.
Approach
This is a hands-on course that takes you through all the machine learning concepts step-by-step while showing you real-world applications for each step.
Key Features
Build a face recognition application from scratch * Prepare and train your data for your projects * Learn real-world applications of your algorithms
Github Repo
https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners
About the Author
AI Sciences
AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.
Course Outline
1. Introduction to the Course

2. Why Machine Learning

3. Process of Learning from Data

4. Machine Learning Methods

5. Data Preparation and Preprocessing

6. Machine Learning Models and Optimization

7. Building Machine Learning Model from Scratch

8. Overfitting, Underfitting and Generalization

9. Machine Learning Model Performance Metrics

10. Dimensionality Reduction

11. Deep Learning Overview

12. Hands-on Machine Learning Project Using Scikit-Learn

13. OPTIONAL Section- Mathematics Wrap-up


Python

The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.

Python Machine Learning Crash Course for Beginners

<strong>Programming for Android and JavaScript made easy with the Kotlin language</strong>
        <p>Google is now officially supporting Kotlin in Android development, with the platform recently announcing that it considers the language ideal for Android app developers. Moreover, Kotlin makes it easier to work with JavaScript.  

In this course, you'll explore a fun and exciting way to learn this language, particularly if you're a beginner. However, experienced programmers will also find this course enriching.  

If you're just getting started with Kotlin, a dedicated section takes you through Kotlin fundamentals step-by-step. If you already have previous programming experience, you can benefit from the exclusive section titled 'Kotlin for Programmers'. 

You'll gain hands-on experience by working through projects. The course will guide you through developing two Android apps and a command-line tool. You'll even get to grips with creating JavaScript for a website. While exploring further sections, you'll encounter challenges that will test your new skills and make sure you're getting the most out of this course. 

By the end of this course, you will be well-versed in Kotlin and have the skills you need to build Android apps, create JavaScript, and much more.</p>
        <h2>What You Will Learn</h2><p>Build a command-line tool <br>Create JavaScript code from Kotlin</p>
        <h2>Audience</h2><p>This course is for beginners or anyone who wants to learn Kotlin, and develop JavaScript and Android apps.</p>
        <h2>Approach</h2><p>This course follows a practical approach, with each section covering a new scenario. You'll be able to learn the concepts and techniques effectively in a step-by-step manner.</p>
        <h2>Key Features</h2><p>Learn Kotlin from the ground up * Create two fully functional Android apps</p>
        
        <h2>About the Author</h2><h3>Codestars By Rob Percival</h3><p>Rob Percival is a highly regarded web developer and Udemy instructor with over 1.7 million students. Over 500,000 of them have taken Rob's Complete Web Developer Course 2.0, as well as his Android Developer and iOS Developer courses.</p><br><h3>Nick Walter</h3><p>Nick Walter is an experienced mobile and web developer and has worked with technologies such as iOS, Android, Django, and Python.

He learned to code about seven years ago. He had limited access to training resources back then. Whilst he learned to code, he also realized the need to change the way that people learn to code. That's when Nick took up teaching. His experience as an online student has definitely influenced his teaching style-he knows what it is like to be in their shoes.

He started his teaching career in 2014, with the Internet's first Swift course. He now teaches a range of technologies such as iOS, Android, Django, Kotlin, Python, HTML, and Blockchain.</p>
        <h2>Course Outline</h2><h4>1. Welcome and Setup</h4><p>This section welcomes the course.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome and Download</p><p style='margin: 0'>Welcome and Setup: Welcome and Download</p></td></tr><tr><td style='padding: 15px;'><p>2. Get the Most out of This Course</p><p style='margin: 0'>Welcome and Setup: Get the Most out of This Course</p></td></tr><tr><td style='padding: 15px;'><p>3. Our First Line of Kotlin Code</p><p style='margin: 0'>Welcome and Setup: Our First Line of Kotlin Code</p></td></tr></tbody></table><br><h4>2. Kotlin for Beginners</h4><p>This section explains about Kotlin for beginners. This includes lectures on Variables, Strings and Integers, Math and Comments etc.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>Kotlin for Beginners: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. Variables</p><p style='margin: 0'>Kotlin for Beginners: Variables</p></td></tr><tr><td style='padding: 15px;'><p>3. Strings and Integers</p><p style='margin: 0'>Kotlin for Beginners: Strings and Integers</p></td></tr><tr><td style='padding: 15px;'><p>4. Math and Comments</p><p style='margin: 0'>Kotlin for Beginners: Math and Comments</p></td></tr><tr><td style='padding: 15px;'><p>5. If Statements and Booleans</p><p style='margin: 0'>Kotlin for Beginners: If Statements and Booleans</p></td></tr><tr><td style='padding: 15px;'><p>6. Lists and Arrays</p><p style='margin: 0'>Kotlin for Beginners: Lists and Arrays</p></td></tr><tr><td style='padding: 15px;'><p>7. For Loops</p><p style='margin: 0'>Kotlin for Beginners: For Loops</p></td></tr><tr><td style='padding: 15px;'><p>8. Maps</p><p style='margin: 0'>Kotlin for Beginners: Maps</p></td></tr><tr><td style='padding: 15px;'><p>9. Functions</p><p style='margin: 0'>Kotlin for Beginners: Functions</p></td></tr><tr><td style='padding: 15px;'><p>10. Classes</p><p style='margin: 0'>Kotlin for Beginners: Classes</p></td></tr><tr><td style='padding: 15px;'><p>11. Class Functions</p><p style='margin: 0'>Kotlin for Beginners: Class Functions</p></td></tr></tbody></table><br><h4>3. Making an Android App with Kotlin - The Resume</h4><p>This section is about Making an Android App with Kotlin. This includes lectures on Android Studio, Layout, Images etc.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>Making an Android App with Kotlin - The Resume: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. Android Studio</p><p style='margin: 0'>Making an Android App with Kotlin - The Resume: Android Studio</p></td></tr><tr><td style='padding: 15px;'><p>3. Layout</p><p style='margin: 0'>Making an Android App with Kotlin - The Resume: Layout</p></td></tr><tr><td style='padding: 15px;'><p>4. Images</p><p style='margin: 0'>Making an Android App with Kotlin - The Resume: Images</p></td></tr><tr><td style='padding: 15px;'><p>5. New Activity</p><p style='margin: 0'>Making an Android App with Kotlin - The Resume: New Activity</p></td></tr><tr><td style='padding: 15px;'><p>6. Scroll View</p><p style='margin: 0'>Making an Android App with Kotlin - The Resume: Scroll View</p></td></tr><tr><td style='padding: 15px;'><p>7. Call and Email</p><p style='margin: 0'>Making an Android App with Kotlin - The Resume: Call and Email</p></td></tr></tbody></table><br><h4>4. Advanced Android App - Weather</h4><p>This section is about Advanced Android App-Weather.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>Advanced Android App - Weather: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. Sketch</p><p style='margin: 0'>Advanced Android App - Weather: Sketch</p></td></tr><tr><td style='padding: 15px;'><p>3. Constraint Layout</p><p style='margin: 0'>Advanced Android App - Weather: Constraint Layout</p></td></tr><tr><td style='padding: 15px;'><p>4. Images</p><p style='margin: 0'>Advanced Android App - Weather: Images</p></td></tr><tr><td style='padding: 15px;'><p>5. ListViews</p><p style='margin: 0'>Advanced Android App - Weather: ListViews</p></td></tr><tr><td style='padding: 15px;'><p>6. Weather APIs</p><p style='margin: 0'>Advanced Android App - Weather: Weather APIs</p></td></tr><tr><td style='padding: 15px;'><p>7. RetroFit</p><p style='margin: 0'>Advanced Android App - Weather: RetroFit</p></td></tr><tr><td style='padding: 15px;'><p>8. Nullable</p><p style='margin: 0'>Advanced Android App - Weather: Nullable</p></td></tr><tr><td style='padding: 15px;'><p>9. Looping Through Forecasts</p><p style='margin: 0'>Advanced Android App - Weather: Looping Through Forecasts</p></td></tr><tr><td style='padding: 15px;'><p>10. Search Term</p><p style='margin: 0'>Advanced Android App - Weather: Search Term</p></td></tr></tbody></table><br><h4>5. Building a Command Line Tool with Kotlin</h4><p>This section explains how to build Command Line Tool with Kotlin. You will learn about Sketch and Planning, WordMap, Sorting Words, Read a File etc.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>Building a Command Line Tool with Kotlin: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. Sketch and Planning</p><p style='margin: 0'>Building a Command Line Tool with Kotlin: Sketch and Planning</p></td></tr><tr><td style='padding: 15px;'><p>3. WordMap</p><p style='margin: 0'>Building a Command Line Tool with Kotlin: WordMap</p></td></tr><tr><td style='padding: 15px;'><p>4. Sorting Words</p><p style='margin: 0'>Building a Command Line Tool with Kotlin: Sorting Words</p></td></tr><tr><td style='padding: 15px;'><p>5. Read A File</p><p style='margin: 0'>Building a Command Line Tool with Kotlin: Read A File</p></td></tr><tr><td style='padding: 15px;'><p>6. Command Line</p><p style='margin: 0'>Building a Command Line Tool with Kotlin: Command Line</p></td></tr></tbody></table><br><h4>6. Javascript and Kotlin</h4><p>Learn about JavaScript and Kotlin here.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>Javascript and Kotlin: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. JavaScript Build</p><p style='margin: 0'>Javascript and Kotlin: JavaScript Build</p></td></tr><tr><td style='padding: 15px;'><p>3. Reusing Code</p><p style='margin: 0'>Javascript and Kotlin: Reusing Code</p></td></tr><tr><td style='padding: 15px;'><p>4. List Items</p><p style='margin: 0'>Javascript and Kotlin: List Items</p></td></tr></tbody></table><br><h4>7. Kotlin for Programmers</h4><p>This section explains about Kotlin for Programmers in detail. This has lectures on Variables, Strings and Ints, Math and Comments, If statements and Booleans etc.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>Kotlin for Programmers: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. Variables, Strings, and Ints</p><p style='margin: 0'>Kotlin for Programmers: Variables, Strings, and Ints</p></td></tr><tr><td style='padding: 15px;'><p>3. Math and Comments</p><p style='margin: 0'>Kotlin for Programmers: Math and Comments</p></td></tr><tr><td style='padding: 15px;'><p>4. If Statements and Booleans</p><p style='margin: 0'>Kotlin for Programmers: If Statements and Booleans</p></td></tr><tr><td style='padding: 15px;'><p>5. Lists and Arrays</p><p style='margin: 0'>Kotlin for Programmers: Lists and Arrays</p></td></tr><tr><td style='padding: 15px;'><p>6. For Loops</p><p style='margin: 0'>Kotlin for Programmers: For Loops</p></td></tr><tr><td style='padding: 15px;'><p>7. Maps</p><p style='margin: 0'>Kotlin for Programmers: Maps</p></td></tr><tr><td style='padding: 15px;'><p>8. Functions</p><p style='margin: 0'>Kotlin for Programmers: Functions</p></td></tr><tr><td style='padding: 15px;'><p>9. Classes</p><p style='margin: 0'>Kotlin for Programmers: Classes</p></td></tr><tr><td style='padding: 15px;'><p>10. Nullable</p><p style='margin: 0'>Kotlin for Programmers: Nullable</p></td></tr><tr><td style='padding: 15px;'><p>11. Kotlin and Java</p><p style='margin: 0'>Kotlin for Programmers: Kotlin and Java</p></td></tr></tbody></table><br><h4>8. BONUS: ToDo List Android App</h4><p>This section shows to create ToDo List Android App</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>BONUS: ToDo List Android App: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. Sketch</p><p style='margin: 0'>BONUS: ToDo List Android App: Sketch</p></td></tr><tr><td style='padding: 15px;'><p>3. Floating Action Button</p><p style='margin: 0'>BONUS: ToDo List Android App: Floating Action Button</p></td></tr><tr><td style='padding: 15px;'><p>4. Realm</p><p style='margin: 0'>BONUS: ToDo List Android App: Realm</p></td></tr><tr><td style='padding: 15px;'><p>5. Saving ToDo Items</p><p style='margin: 0'>BONUS: ToDo List Android App: Saving ToDo Items</p></td></tr><tr><td style='padding: 15px;'><p>6. ListView</p><p style='margin: 0'>BONUS: ToDo List Android App: ListView</p></td></tr><tr><td style='padding: 15px;'><p>7. Completing ToDos</p><p style='margin: 0'>BONUS: ToDo List Android App: Completing ToDos</p></td></tr><tr><td style='padding: 15px;'><p>8. Bold</p><p style='margin: 0'>BONUS: ToDo List Android App: Bold</p></td></tr></tbody></table><br><h4>9. BONUS: Find Repo Android App</h4><p>This explains to create Find Repo Android App.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intro</p><p style='margin: 0'>BONUS: Find Repo Android App: Intro</p></td></tr><tr><td style='padding: 15px;'><p>2. Activities</p><p style='margin: 0'>BONUS: Find Repo Android App: Activities</p></td></tr><tr><td style='padding: 15px;'><p>3. GitHub API</p><p style='margin: 0'>BONUS: Find Repo Android App: GitHub API</p></td></tr><tr><td style='padding: 15px;'><p>4. Custom ListView Rows</p><p style='margin: 0'>BONUS: Find Repo Android App: Custom ListView Rows</p></td></tr><tr><td style='padding: 15px;'><p>5. Downloading Images</p><p style='margin: 0'>BONUS: Find Repo Android App: Downloading Images</p></td></tr><tr><td style='padding: 15px;'><p>6. User Repos</p><p style='margin: 0'>BONUS: Find Repo Android App: User Repos</p></td></tr></tbody></table>

Programming for Android and JavaScript made easy with the Kotlin language
Google is now officially supporting Kotlin in Android development, with the platform recently announcing that it considers the language ideal for Android app developers. Moreover, Kotlin makes it easier to work with JavaScript. In this course, you'll explore a fun and exciting way to learn this language, particularly if you're a beginner. However, experienced programmers will also find this course enriching. If you're just getting started with Kotlin, a dedicated section takes you through Kotlin fundamentals step-by-step. If you already have previous programming experience, you can benefit from the exclusive section titled 'Kotlin for Programmers'. You'll gain hands-on experience by working through projects. The course will guide you through developing two Android apps and a command-line tool. You'll even get to grips with creating JavaScript for a website. While exploring further sections, you'll encounter challenges that will test your new skills and make sure you're getting the most out of this course. By the end of this course, you will be well-versed in Kotlin and have the skills you need to build Android apps, create JavaScript, and much more.
What You Will Learn
Build a command-line tool 
Create JavaScript code from Kotlin
Audience
This course is for beginners or anyone who wants to learn Kotlin, and develop JavaScript and Android apps.
Approach
This course follows a practical approach, with each section covering a new scenario. You'll be able to learn the concepts and techniques effectively in a step-by-step manner.
Key Features
Learn Kotlin from the ground up * Create two fully functional Android apps
About the Author
Codestars By Rob Percival
Rob Percival is a highly regarded web developer and Udemy instructor with over 1.7 million students. Over 500,000 of them have taken Rob's Complete Web Developer Course 2.0, as well as his Android Developer and iOS Developer courses.
Nick Walter
Nick Walter is an experienced mobile and web developer and has worked with technologies such as iOS, Android, Django, and Python. He learned to code about seven years ago. He had limited access to training resources back then. Whilst he learned to code, he also realized the need to change the way that people learn to code. That's when Nick took up teaching. His experience as an online student has definitely influenced his teaching style-he knows what it is like to be in their shoes. He started his teaching career in 2014, with the Internet's first Swift course. He now teaches a range of technologies such as iOS, Android, Django, Kotlin, Python, HTML, and Blockchain.
Course Outline
1. Welcome and Setup
This section welcomes the course.
1. Welcome and Download
Welcome and Setup: Welcome and Download
2. Get the Most out of This Course
Welcome and Setup: Get the Most out of This Course
3. Our First Line of Kotlin Code
Welcome and Setup: Our First Line of Kotlin Code
2. Kotlin for Beginners
This section explains about Kotlin for beginners. This includes lectures on Variables, Strings and Integers, Math and Comments etc.
1. Intro
Kotlin for Beginners: Intro
2. Variables
Kotlin for Beginners: Variables
3. Strings and Integers
Kotlin for Beginners: Strings and Integers
4. Math and Comments
Kotlin for Beginners: Math and Comments
5. If Statements and Booleans
Kotlin for Beginners: If Statements and Booleans
6. Lists and Arrays
Kotlin for Beginners: Lists and Arrays
7. For Loops
Kotlin for Beginners: For Loops
8. Maps
Kotlin for Beginners: Maps
9. Functions
Kotlin for Beginners: Functions
10. Classes
Kotlin for Beginners: Classes
11. Class Functions
Kotlin for Beginners: Class Functions
3. Making an Android App with Kotlin - The Resume
This section is about Making an Android App with Kotlin. This includes lectures on Android Studio, Layout, Images etc.
1. Intro
Making an Android App with Kotlin - The Resume: Intro
2. Android Studio
Making an Android App with Kotlin - The Resume: Android Studio
3. Layout
Making an Android App with Kotlin - The Resume: Layout
4. Images
Making an Android App with Kotlin - The Resume: Images
5. New Activity
Making an Android App with Kotlin - The Resume: New Activity
6. Scroll View
Making an Android App with Kotlin - The Resume: Scroll View
7. Call and Email
Making an Android App with Kotlin - The Resume: Call and Email
4. Advanced Android App - Weather
This section is about Advanced Android App-Weather.
1. Intro
Advanced Android App - Weather: Intro
2. Sketch
Advanced Android App - Weather: Sketch
3. Constraint Layout
Advanced Android App - Weather: Constraint Layout
4. Images
Advanced Android App - Weather: Images
5. ListViews
Advanced Android App - Weather: ListViews
6. Weather APIs
Advanced Android App - Weather: Weather APIs
7. RetroFit
Advanced Android App - Weather: RetroFit
8. Nullable
Advanced Android App - Weather: Nullable
9. Looping Through Forecasts
Advanced Android App - Weather: Looping Through Forecasts
10. Search Term
Advanced Android App - Weather: Search Term
5. Building a Command Line Tool with Kotlin
This section explains how to build Command Line Tool with Kotlin. You will learn about Sketch and Planning, WordMap, Sorting Words, Read a File etc.
1. Intro
Building a Command Line Tool with Kotlin: Intro
2. Sketch and Planning
Building a Command Line Tool with Kotlin: Sketch and Planning
3. WordMap
Building a Command Line Tool with Kotlin: WordMap
4. Sorting Words
Building a Command Line Tool with Kotlin: Sorting Words
5. Read A File
Building a Command Line Tool with Kotlin: Read A File
6. Command Line
Building a Command Line Tool with Kotlin: Command Line
6. Javascript and Kotlin
Learn about JavaScript and Kotlin here.
1. Intro
Javascript and Kotlin: Intro
2. JavaScript Build
Javascript and Kotlin: JavaScript Build
3. Reusing Code
Javascript and Kotlin: Reusing Code
4. List Items
Javascript and Kotlin: List Items
7. Kotlin for Programmers
This section explains about Kotlin for Programmers in detail. This has lectures on Variables, Strings and Ints, Math and Comments, If statements and Booleans etc.
1. Intro
Kotlin for Programmers: Intro
2. Variables, Strings, and Ints
Kotlin for Programmers: Variables, Strings, and Ints
3. Math and Comments
Kotlin for Programmers: Math and Comments
4. If Statements and Booleans
Kotlin for Programmers: If Statements and Booleans
5. Lists and Arrays
Kotlin for Programmers: Lists and Arrays
6. For Loops
Kotlin for Programmers: For Loops
7. Maps
Kotlin for Programmers: Maps
8. Functions
Kotlin for Programmers: Functions
9. Classes
Kotlin for Programmers: Classes
10. Nullable
Kotlin for Programmers: Nullable
11. Kotlin and Java
Kotlin for Programmers: Kotlin and Java
8. BONUS: ToDo List Android App
This section shows to create ToDo List Android App
1. Intro
BONUS: ToDo List Android App: Intro
2. Sketch
BONUS: ToDo List Android App: Sketch
3. Floating Action Button
BONUS: ToDo List Android App: Floating Action Button
4. Realm
BONUS: ToDo List Android App: Realm
5. Saving ToDo Items
BONUS: ToDo List Android App: Saving ToDo Items
6. ListView
BONUS: ToDo List Android App: ListView
7. Completing ToDos
BONUS: ToDo List Android App: Completing ToDos
8. Bold
BONUS: ToDo List Android App: Bold
9. BONUS: Find Repo Android App
This explains to create Find Repo Android App.
1. Intro
BONUS: Find Repo Android App: Intro
2. Activities
BONUS: Find Repo Android App: Activities
3. GitHub API
BONUS: Find Repo Android App: GitHub API
4. Custom ListView Rows
BONUS: Find Repo Android App: Custom ListView Rows
5. Downloading Images
BONUS: Find Repo Android App: Downloading Images
6. User Repos
BONUS: Find Repo Android App: User Repos

Kotlin

Programming

Programming for Android and JavaScript made easy with the Kotlin language

The Complete Kotlin Developer Course

<strong>Learn everything you need to execute web application security assessments as a professional ethical hacker.</strong>
        <p>This course contains everything to start working as a web pentester. You will learn about exploitation techniques, hacking tools, methodologies, and the whole process of security assessments. It is absolutely hands-on, you will do all the attacks in your own penetration testing environment using the provided applications. The targets are real open-source software. You will have to work hard but in the end, you will be able to do web security assessments on your own as a real ethical hacker. My name is Geri and I am the instructor of this course about web application hacking. If you are interested in hacking and IT security, then this is the perfect place to start. You might be a developer, an IT administrator, or basically anybody with an IT background. With this training, you will get everything you need to start working as a professional web penetration tester. But, why would you want to become one? First of all, because it is a lot of fun. You can be in the position of an attacker trying to hack the various system. Finding vulnerabilities exploiting them and taking over the system. You can find the true hacker in yourself. It is a very creative and exciting job. Also, the security business is booming now. But, why should you learn web hacking? Mostly because there is the biggest demand in the market. Wherever you go to work right now as a penetration tester, around 80% of the projects are web hacking related. This is usually because the awareness of web security was already established and everything has a web interface from the web application to embedded devices or IoT. Also, because that is the fastest to learn. It is because web-related technologies are usually text-based and are easy to work with. So, at the end of the day, web pen testing is the fastest to learn and the most searched. So, I think it is an obvious choice to start your carrier there.

All the code files are placed at https://github.com/PacktPublishing/Web-Hacking-Become-a-Professional-Web-Pentester</p>
        <h2>What You Will Learn</h2><p>&bull;&nbsp;&nbsp;Why hacking is fun<br>&bull;&nbsp;&nbsp;Understand web security problems and how to fix them<br>&bull;&nbsp;&nbsp;Find security vulnerabilities in web applications<br>&bull;&nbsp;&nbsp;Start working as a penetration tester for web applications<br>&bull;&nbsp;&nbsp;How traditional and modern web applications work<br>&bull;&nbsp;&nbsp;How the process of ethical hacking works<br>&bull;&nbsp;&nbsp;Get practical experience in exploiting web applications<br>&bull;&nbsp;&nbsp;How to do ethical hacking projects the right way<br>&bull;&nbsp;&nbsp;How professional penetration testing works<br></p>
        <h2>Audience</h2><p>This course is for developers who want to secure their web applications. People who want to become a penetration tester. Penetration testers who want to extend their portfolio to web applications. Anybody who works in IT or study it and is interested in web hacking.</p>
        <h2>Approach</h2><p>It is absolutely hands on. We are going to hack real open-source applications where you can try every technique and attack yourself. So, you will have to get your hands dirty. I will show you everything first and then you can keep experimenting and testing yourself.</p>
        <h2>Key Features</h2><p>&bull;&nbsp;&nbsp;It never gets boring, there will be always something interesting and new to learn.  * &bull;&nbsp;&nbsp;You will be never without a job. If you keep up with the developments, there will be always something new to do. And as long as there are new systems, people will keep screwing up and building insecure stuff. And that's what brings projects to us.  * &bull;&nbsp;&nbsp;So, I hope I piqued your attention to learning web application * </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/web-hacking-become-a-professional-web-pentester</p>
        <h2>About the Author</h2><h3>Gergely Révay</h3><p>Gergely Révay, the instructor of this course, hacks stuff for fun and profit at Multinational Corporation in Germany and in the USA. He has worked as a penetration tester since 2011; before that, he was a quality assurance engineer in his home country, Hungary. As a consultant, he did penetration tests and security assessments in various industries, such as insurance, banking, telco, mobility, healthcare, industrial control systems, and even car production. Gergely has also built online courses and tutorials since 2014 on various platforms such as http://hackademy.aetherlab.net and https://www.youtube.com/aetherlabnet During this time he has put a lot of effort into understanding how pentesting and offensive security can be taught efficiently.</p>
        <h2>Course Outline</h2><h4>1. Warm up</h4><p></p><br><h4>2. Environment setup</h4><p></p><br><h4>3. Web 101</h4><p></p><br><h4>4. Application discovery</h4><p></p><br><h4>5. Attacking session management</h4><p></p><br><h4>6. Attacking authentication</h4><p></p><br><h4>7. Attacking authorization</h4><p></p><br><h4>8. Attacking the client</h4><p></p><br><h4>9. Server side injections</h4><p></p><br><h4>10. The rest</h4><p></p>

Learn everything you need to execute web application security assessments as a professional ethical hacker.
This course contains everything to start working as a web pentester. You will learn about exploitation techniques, hacking tools, methodologies, and the whole process of security assessments. It is absolutely hands-on, you will do all the attacks in your own penetration testing environment using the provided applications. The targets are real open-source software. You will have to work hard but in the end, you will be able to do web security assessments on your own as a real ethical hacker. My name is Geri and I am the instructor of this course about web application hacking. If you are interested in hacking and IT security, then this is the perfect place to start. You might be a developer, an IT administrator, or basically anybody with an IT background. With this training, you will get everything you need to start working as a professional web penetration tester. But, why would you want to become one? First of all, because it is a lot of fun. You can be in the position of an attacker trying to hack the various system. Finding vulnerabilities exploiting them and taking over the system. You can find the true hacker in yourself. It is a very creative and exciting job. Also, the security business is booming now. But, why should you learn web hacking? Mostly because there is the biggest demand in the market. Wherever you go to work right now as a penetration tester, around 80% of the projects are web hacking related. This is usually because the awareness of web security was already established and everything has a web interface from the web application to embedded devices or IoT. Also, because that is the fastest to learn. It is because web-related technologies are usually text-based and are easy to work with. So, at the end of the day, web pen testing is the fastest to learn and the most searched. So, I think it is an obvious choice to start your carrier there. All the code files are placed at https://github.com/PacktPublishing/Web-Hacking-Become-a-Professional-Web-Pentester
What You Will Learn
• Why hacking is fun
• Understand web security problems and how to fix them
• Find security vulnerabilities in web applications
• Start working as a penetration tester for web applications
• How traditional and modern web applications work
• How the process of ethical hacking works
• Get practical experience in exploiting web applications
• How to do ethical hacking projects the right way
• How professional penetration testing works

Audience
This course is for developers who want to secure their web applications. People who want to become a penetration tester. Penetration testers who want to extend their portfolio to web applications. Anybody who works in IT or study it and is interested in web hacking.
Approach
It is absolutely hands on. We are going to hack real open-source applications where you can try every technique and attack yourself. So, you will have to get your hands dirty. I will show you everything first and then you can keep experimenting and testing yourself.
Key Features
• It never gets boring, there will be always something interesting and new to learn. * • You will be never without a job. If you keep up with the developments, there will be always something new to do. And as long as there are new systems, people will keep screwing up and building insecure stuff. And that's what brings projects to us. * • So, I hope I piqued your attention to learning web application * 
Github Repo
https://github.com/packtpublishing/web-hacking-become-a-professional-web-pentester
About the Author
Gergely Révay
Gergely Révay, the instructor of this course, hacks stuff for fun and profit at Multinational Corporation in Germany and in the USA. He has worked as a penetration tester since 2011; before that, he was a quality assurance engineer in his home country, Hungary. As a consultant, he did penetration tests and security assessments in various industries, such as insurance, banking, telco, mobility, healthcare, industrial control systems, and even car production. Gergely has also built online courses and tutorials since 2014 on various platforms such as http://hackademy.aetherlab.net and https://www.youtube.com/aetherlabnet During this time he has put a lot of effort into understanding how pentesting and offensive security can be taught efficiently.
Course Outline
1. Warm up

2. Environment setup

3. Web 101

4. Application discovery

5. Attacking session management

6. Attacking authentication

7. Attacking authorization

8. Attacking the client

9. Server side injections

10. The rest


Learn everything you need to execute web application security assessments as a professional ethical hacker.

Web Hacking: Become a Professional Web Pentester

<strong>Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis</strong>
        <p>In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised and supervised learning in Python, you can give your company a competitive edge and level up in your career. This course will give you a robust grounding in clustering and classification, the main aspects of machine learning.

The course consists of 7 sections that will help you master Python machine learning. You'll begin with an introduction to Python data science and Anaconda, which is a powerful Python-driven framework for data science. Next, you'll delve into Pandas and read data structures, including CSV, Excel, and HTML data. As you advance, you'll perform data cleaning and munging to remove NAs\no data and discover how to handle conditional data, group by attributes, and do much more. You'll also grasp basic concepts of unsupervised learning such as K-means clustering and its implementation on the Iris dataset. The course will take you through the theory of dimension reduction and feature selection for machine learning and help you understand Principal Component Analysis (PCA) using two case studies. You'll get to grips with the linear and non-linear classification of SVM along with Gradient Boosting Machine (GBM) and Naive Bayes Classification. Finally, you'll explore neural networks and discover the powerful H20 framework and for deep learning classification. Additionally, you'll learn about perceptrons and Artificial Neural Networks (ANN) for binary classification.
By the end of this course, you'll be able to use packages such as NumPy, Pandas, and Matplotlib to work with real data in Python.

All code and supporting files for this course are available at 
https://github.com/sanjanapackt/PacktPublishing-Clustering-and-Classification-with-Machine-Learning-in-Python.</p>
        <h2>What You Will Learn</h2><p>Harness the power of Anaconda/iPython for practical data science<br>Read data into the Python environment from different sources<br>Carry out basic data preprocessing and wrangling in Python<br>Implement unsupervised/clustering techniques such as k-means clustering<br>Get to grips with dimensionality reduction techniques and feature selection<br>Implement supervised learning/classification techniques such as random forests<br>Explore neural network- and deep learning-based classification<br></p>
        <h2>Audience</h2><p>If you want to build data science applications in the Python environment, this book is for you. You'll also find this book helpful if you want to learn how to implement unsupervised learning on real data using Python, or if you're a student looking to get started with artificial neural networks and deep learning.</p>
        <h2>Approach</h2><p>This course is full of interesting and illustrative examples and easy-to-understand theory to help you implement a real-world concept in every lecture. It covers hands-on methods to simplify and address even the most difficult concepts in Python using minimal jargon.</p>
        <h2>Key Features</h2><p>Explore the most important Python data science concepts and packages, including Pandas * Master the Anaconda framework and use it to implement clustering and classification models on your data * Get to grips with data science fundamentals and understand which models should be used when * </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/clustering-and-classification-with-machine-learning-in-r</p>
        <h2>About the Author</h2><h3>Minerva Singh</h3><p>Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.</p>
        <h2>Course Outline</h2><h4>1. INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome to Clustering & Classification with Machine Learning in Python</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Welcome to Clustering & Classification with Machine Learning in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Machine Learning?</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: What is Machine Learning?</p></td></tr><tr><td style='padding: 15px;'><p>3. Python Data Science Environment</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Python Data Science Environment</p></td></tr><tr><td style='padding: 15px;'><p>4. For Mac Users</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: For Mac Users</p></td></tr><tr><td style='padding: 15px;'><p>5. IPython in Browser</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: IPython in Browser</p></td></tr><tr><td style='padding: 15px;'><p>6. Python Data Science Packages to Be Used</p><p style='margin: 0'>INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Python Data Science Packages to Be Used</p></td></tr></tbody></table><br><h4>2. Read in Data from Different Sources with Pandas</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What are Pandas?</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: What are Pandas?</p></td></tr><tr><td style='padding: 15px;'><p>2. Read in Data from CSV</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in Data from CSV</p></td></tr><tr><td style='padding: 15px;'><p>3. Read in Online CSV</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in Online CSV</p></td></tr><tr><td style='padding: 15px;'><p>4. Read in Excel Data</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in Excel Data</p></td></tr><tr><td style='padding: 15px;'><p>5. Read in HTML Data</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in HTML Data</p></td></tr><tr><td style='padding: 15px;'><p>6. Read in Data from Databases</p><p style='margin: 0'>Read in Data from Different Sources with Pandas: Read in Data from Databases</p></td></tr></tbody></table><br><h4>3. Data Cleaning & Munging</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Remove Missing Values</p><p style='margin: 0'>Data Cleaning & Munging: Remove Missing Values</p></td></tr><tr><td style='padding: 15px;'><p>2. Conditional Data Selection</p><p style='margin: 0'>Data Cleaning & Munging: Conditional Data Selection</p></td></tr><tr><td style='padding: 15px;'><p>3. Data Grouping</p><p style='margin: 0'>Data Cleaning & Munging: Data Grouping</p></td></tr><tr><td style='padding: 15px;'><p>4. Data Sub setting</p><p style='margin: 0'>Data Cleaning & Munging: Data sub setting</p></td></tr><tr><td style='padding: 15px;'><p>5. Ranking & Sorting</p><p style='margin: 0'>Data Cleaning & Munging: Ranking & Sorting</p></td></tr><tr><td style='padding: 15px;'><p>6. Concatenate</p><p style='margin: 0'>Data Cleaning & Munging: Concatenate</p></td></tr><tr><td style='padding: 15px;'><p>7. Merging & Joining Data Frames</p><p style='margin: 0'>Data Cleaning & Munging: Merging & Joining Data Frames</p></td></tr></tbody></table><br><h4>4. Unsupervised Learning in Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Unsupervised Classification- Some Basic Concepts</p><p style='margin: 0'>Unsupervised Learning in Python: Unsupervised Classification- Some Basic Concepts</p></td></tr><tr><td style='padding: 15px;'><p>2. K-Means Clustering: Theory</p><p style='margin: 0'>Unsupervised Learning in Python: K-Means Clustering: Theory</p></td></tr><tr><td style='padding: 15px;'><p>3. Implement K-Means on the Iris Data</p><p style='margin: 0'>Unsupervised Learning in Python: Implement K-Means on the Iris Data</p></td></tr><tr><td style='padding: 15px;'><p>4. Quantifying K-Means Clustering Performance</p><p style='margin: 0'>Unsupervised Learning in Python: Quantifying K-Means Clustering Performance</p></td></tr><tr><td style='padding: 15px;'><p>5. K-Means Clustering with Real Data</p><p style='margin: 0'>Unsupervised Learning in Python: K-Means Clustering with Real Data</p></td></tr><tr><td style='padding: 15px;'><p>6. How to Select the Optimal Number of Clusters?</p><p style='margin: 0'>Unsupervised Learning in Python: How to Select the Optimal Number of Clusters?</p></td></tr><tr><td style='padding: 15px;'><p>7. Gaussian Mixture Modelling (GMM)</p><p style='margin: 0'>Unsupervised Learning in Python: Gaussian Mixture Modelling (GMM)</p></td></tr><tr><td style='padding: 15px;'><p>8. Hierarchical Clustering-theory</p><p style='margin: 0'>Unsupervised Learning in Python: Hierarchical Clustering-theory</p></td></tr><tr><td style='padding: 15px;'><p>9. Hierarchical Clustering-practical</p><p style='margin: 0'>Unsupervised Learning in Python: Hierarchical Clustering-practical</p></td></tr></tbody></table><br><h4>5. Dimension Reduction & Feature Selection for Machine Learning</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Principal Component Analysis (PCA)-Theory</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Theory</p></td></tr><tr><td style='padding: 15px;'><p>2. Principal Component Analysis (PCA)-Case Study 1</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Case Study 1</p></td></tr><tr><td style='padding: 15px;'><p>3. Principal Component Analysis (PCA)-Case Study 2</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Case Study 2</p></td></tr><tr><td style='padding: 15px;'><p>4. Linear Discriminant Analysis (LDA) for Dimension Reduction</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Linear Discriminant Analysis (LDA) for Dimension Reduction</p></td></tr><tr><td style='padding: 15px;'><p>5. t-SNE Dimension Reduction</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: t-SNE Dimension Reduction</p></td></tr><tr><td style='padding: 15px;'><p>6. Feature Selection to Select the Most Relevant Predictors</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Feature Selection to Select the Most Relevant Predictors</p></td></tr><tr><td style='padding: 15px;'><p>7. Recursive Feature Elimination (RFE)</p><p style='margin: 0'>Dimension Reduction & Feature Selection for Machine Learning: Recursive Feature Elimination (RFE)</p></td></tr></tbody></table><br><h4>6. Supervised Learning: Classification</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Concepts Behind Supervised Learning</p><p style='margin: 0'>Supervised Learning: Classification: Concepts Behind Supervised Learning</p></td></tr><tr><td style='padding: 15px;'><p>2. Data Preparation for Supervised Learning</p><p style='margin: 0'>Supervised Learning: Classification: Data Preparation for Supervised Learning</p></td></tr><tr><td style='padding: 15px;'><p>3. Pointers on Evaluating the Accuracy of Classification Modelling</p><p style='margin: 0'>Supervised Learning: Classification: Pointers on Evaluating the Accuracy of Classification Modelling</p></td></tr><tr><td style='padding: 15px;'><p>4. Using Logistic Regression as a Classification Model</p><p style='margin: 0'>Supervised Learning: Classification: Using Logistic Regression as a Classification Model</p></td></tr><tr><td style='padding: 15px;'><p>5. kNN- Classification</p><p style='margin: 0'>Supervised Learning: Classification: kNN- Classification</p></td></tr><tr><td style='padding: 15px;'><p>6. Naive Bayes Classification</p><p style='margin: 0'>Supervised Learning: Classification: Naive Bayes Classification</p></td></tr><tr><td style='padding: 15px;'><p>7. Linear Discriminant Analysis</p><p style='margin: 0'>Supervised Learning: Classification: Linear Discriminant Analysis</p></td></tr><tr><td style='padding: 15px;'><p>8. SVM- Linear Classification</p><p style='margin: 0'>Supervised Learning: Classification: SVM- Linear Classification</p></td></tr><tr><td style='padding: 15px;'><p>9. Non-Linear SVM Classification</p><p style='margin: 0'>Supervised Learning: Classification: Non-Linear SVM Classification</p></td></tr><tr><td style='padding: 15px;'><p>10. RF-Classification</p><p style='margin: 0'>Supervised Learning: Classification: RF-Classification</p></td></tr><tr><td style='padding: 15px;'><p>11. Gradient Boosting Machine (GBM)</p><p style='margin: 0'>Supervised Learning: Classification: Gradient Boosting Machine (GBM)</p></td></tr><tr><td style='padding: 15px;'><p>12. Voting Classifier</p><p style='margin: 0'>Supervised Learning: Classification: Voting Classifier</p></td></tr></tbody></table><br><h4>7. Neural Networks and Deep Learning Based Classification Techniques</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Perceptrons for Binary Classification</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Perceptrons for Binary Classification</p></td></tr><tr><td style='padding: 15px;'><p>2. Artificial Neural Networks (ANN) for Binary Classification</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Artificial Neural Networks (ANN) for Binary Classification</p></td></tr><tr><td style='padding: 15px;'><p>3. Multi-class Classification With MLP</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Multi-class Classification With MLP</p></td></tr><tr><td style='padding: 15px;'><p>4. Introduction to H20</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Introduction to H20</p></td></tr><tr><td style='padding: 15px;'><p>5. Use H20 for Deep Learning Classification</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: Use H20 for Deep Learning Classification</p></td></tr><tr><td style='padding: 15px;'><p>6. H20 Deep Learning for Classification</p><p style='margin: 0'>Neural Networks and Deep Learning Based Classification Techniques: H20 Deep Learning for Classification</p></td></tr></tbody></table>

Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis
In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in unsupervised and supervised learning in Python, you can give your company a competitive edge and level up in your career. This course will give you a robust grounding in clustering and classification, the main aspects of machine learning. The course consists of 7 sections that will help you master Python machine learning. You'll begin with an introduction to Python data science and Anaconda, which is a powerful Python-driven framework for data science. Next, you'll delve into Pandas and read data structures, including CSV, Excel, and HTML data. As you advance, you'll perform data cleaning and munging to remove NAs\no data and discover how to handle conditional data, group by attributes, and do much more. You'll also grasp basic concepts of unsupervised learning such as K-means clustering and its implementation on the Iris dataset. The course will take you through the theory of dimension reduction and feature selection for machine learning and help you understand Principal Component Analysis (PCA) using two case studies. You'll get to grips with the linear and non-linear classification of SVM along with Gradient Boosting Machine (GBM) and Naive Bayes Classification. Finally, you'll explore neural networks and discover the powerful H20 framework and for deep learning classification. Additionally, you'll learn about perceptrons and Artificial Neural Networks (ANN) for binary classification.
By the end of this course, you'll be able to use packages such as NumPy, Pandas, and Matplotlib to work with real data in Python. All code and supporting files for this course are available at https://github.com/sanjanapackt/PacktPublishing-Clustering-and-Classification-with-Machine-Learning-in-Python.
What You Will Learn
Harness the power of Anaconda/iPython for practical data science
Read data into the Python environment from different sources
Carry out basic data preprocessing and wrangling in Python
Implement unsupervised/clustering techniques such as k-means clustering
Get to grips with dimensionality reduction techniques and feature selection
Implement supervised learning/classification techniques such as random forests
Explore neural network- and deep learning-based classification

Audience
If you want to build data science applications in the Python environment, this book is for you. You'll also find this book helpful if you want to learn how to implement unsupervised learning on real data using Python, or if you're a student looking to get started with artificial neural networks and deep learning.
Approach
This course is full of interesting and illustrative examples and easy-to-understand theory to help you implement a real-world concept in every lecture. It covers hands-on methods to simplify and address even the most difficult concepts in Python using minimal jargon.
Key Features
Explore the most important Python data science concepts and packages, including Pandas * Master the Anaconda framework and use it to implement clustering and classification models on your data * Get to grips with data science fundamentals and understand which models should be used when * 
Github Repo
https://github.com/packtpublishing/clustering-and-classification-with-machine-learning-in-r
About the Author
Minerva Singh
Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.
Course Outline
1. INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools

1. Welcome to Clustering & Classification with Machine Learning in Python
INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Welcome to Clustering & Classification with Machine Learning in Python
2. What is Machine Learning?
INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: What is Machine Learning?
3. Python Data Science Environment
INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Python Data Science Environment
4. For Mac Users
INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: For Mac Users
5. IPython in Browser
INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: IPython in Browser
6. Python Data Science Packages to Be Used
INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools: Python Data Science Packages to Be Used
2. Read in Data from Different Sources with Pandas

1. What are Pandas?
Read in Data from Different Sources with Pandas: What are Pandas?
2. Read in Data from CSV
Read in Data from Different Sources with Pandas: Read in Data from CSV
3. Read in Online CSV
Read in Data from Different Sources with Pandas: Read in Online CSV
4. Read in Excel Data
Read in Data from Different Sources with Pandas: Read in Excel Data
5. Read in HTML Data
Read in Data from Different Sources with Pandas: Read in HTML Data
6. Read in Data from Databases
Read in Data from Different Sources with Pandas: Read in Data from Databases
3. Data Cleaning & Munging

1. Remove Missing Values
Data Cleaning & Munging: Remove Missing Values
2. Conditional Data Selection
Data Cleaning & Munging: Conditional Data Selection
3. Data Grouping
Data Cleaning & Munging: Data Grouping
4. Data Sub setting
Data Cleaning & Munging: Data sub setting
5. Ranking & Sorting
Data Cleaning & Munging: Ranking & Sorting
6. Concatenate
Data Cleaning & Munging: Concatenate
7. Merging & Joining Data Frames
Data Cleaning & Munging: Merging & Joining Data Frames
4. Unsupervised Learning in Python

1. Unsupervised Classification- Some Basic Concepts
Unsupervised Learning in Python: Unsupervised Classification- Some Basic Concepts
2. K-Means Clustering: Theory
Unsupervised Learning in Python: K-Means Clustering: Theory
3. Implement K-Means on the Iris Data
Unsupervised Learning in Python: Implement K-Means on the Iris Data
4. Quantifying K-Means Clustering Performance
Unsupervised Learning in Python: Quantifying K-Means Clustering Performance
5. K-Means Clustering with Real Data
Unsupervised Learning in Python: K-Means Clustering with Real Data
6. How to Select the Optimal Number of Clusters?
Unsupervised Learning in Python: How to Select the Optimal Number of Clusters?
7. Gaussian Mixture Modelling (GMM)
Unsupervised Learning in Python: Gaussian Mixture Modelling (GMM)
8. Hierarchical Clustering-theory
Unsupervised Learning in Python: Hierarchical Clustering-theory
9. Hierarchical Clustering-practical
Unsupervised Learning in Python: Hierarchical Clustering-practical
5. Dimension Reduction & Feature Selection for Machine Learning

1. Principal Component Analysis (PCA)-Theory
Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Theory
2. Principal Component Analysis (PCA)-Case Study 1
Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Case Study 1
3. Principal Component Analysis (PCA)-Case Study 2
Dimension Reduction & Feature Selection for Machine Learning: Principal Component Analysis (PCA)-Case Study 2
4. Linear Discriminant Analysis (LDA) for Dimension Reduction
Dimension Reduction & Feature Selection for Machine Learning: Linear Discriminant Analysis (LDA) for Dimension Reduction
5. t-SNE Dimension Reduction
Dimension Reduction & Feature Selection for Machine Learning: t-SNE Dimension Reduction
6. Feature Selection to Select the Most Relevant Predictors
Dimension Reduction & Feature Selection for Machine Learning: Feature Selection to Select the Most Relevant Predictors
7. Recursive Feature Elimination (RFE)
Dimension Reduction & Feature Selection for Machine Learning: Recursive Feature Elimination (RFE)
6. Supervised Learning: Classification

1. Concepts Behind Supervised Learning
Supervised Learning: Classification: Concepts Behind Supervised Learning
2. Data Preparation for Supervised Learning
Supervised Learning: Classification: Data Preparation for Supervised Learning
3. Pointers on Evaluating the Accuracy of Classification Modelling
Supervised Learning: Classification: Pointers on Evaluating the Accuracy of Classification Modelling
4. Using Logistic Regression as a Classification Model
Supervised Learning: Classification: Using Logistic Regression as a Classification Model
5. kNN- Classification
Supervised Learning: Classification: kNN- Classification
6. Naive Bayes Classification
Supervised Learning: Classification: Naive Bayes Classification
7. Linear Discriminant Analysis
Supervised Learning: Classification: Linear Discriminant Analysis
8. SVM- Linear Classification
Supervised Learning: Classification: SVM- Linear Classification
9. Non-Linear SVM Classification
Supervised Learning: Classification: Non-Linear SVM Classification
10. RF-Classification
Supervised Learning: Classification: RF-Classification
11. Gradient Boosting Machine (GBM)
Supervised Learning: Classification: Gradient Boosting Machine (GBM)
12. Voting Classifier
Supervised Learning: Classification: Voting Classifier
7. Neural Networks and Deep Learning Based Classification Techniques

1. Perceptrons for Binary Classification
Neural Networks and Deep Learning Based Classification Techniques: Perceptrons for Binary Classification
2. Artificial Neural Networks (ANN) for Binary Classification
Neural Networks and Deep Learning Based Classification Techniques: Artificial Neural Networks (ANN) for Binary Classification
3. Multi-class Classification With MLP
Neural Networks and Deep Learning Based Classification Techniques: Multi-class Classification With MLP
4. Introduction to H20
Neural Networks and Deep Learning Based Classification Techniques: Introduction to H20
5. Use H20 for Deep Learning Classification
Neural Networks and Deep Learning Based Classification Techniques: Use H20 for Deep Learning Classification
6. H20 Deep Learning for Classification
Neural Networks and Deep Learning Based Classification Techniques: H20 Deep Learning for Classification

Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis

Clustering and Classification with Machine Learning in Python

<strong>Learn complete hands-on Regression analysis for practical Statistical modelling and Machine Learning in R</strong>
        <p>With so many R Statistics and Machine Learning courses around, why enroll for this?

Regression analysis is one of the central aspects of both Statistics and Machine Learning based analysis. This course will teach you Regression analysis for both Statistical data analysis and ML in R. It explores relevant concepts in a practical way, from basic to expert level. This course can help you achieve better grades, gain new analysis tools for your academic career, implement your knowledge in a work setting, and make business forecasting-related decisions. You will go all the way from implementing and inferring simple OLS (Ordinary Least Square) regression models to dealing with issues of multicollinearity in regression to ML based regression models.

Become a Regression analysis expert and harness the power of R for your analysis

&bull; Get started with R and RStudio. Install these on your system, learn to load packages, and read in different types of data in R
&bull; Carry out data cleaning and data visualization using R
&bull; Implement Ordinary Least Square (OLS) regression in R and learn how to interpret the results.
&bull; Learn how to deal with multicollinearity both through the variable selection and regularization techniques such as ridge regression
&bull; Carry out variable and regression model selection using both statistical and machine learning techniques, including using cross-validation methods.
&bull; Evaluate the regression model accuracy
&bull; Implement Generalized Linear Models (GLMs) such as logistic regression and Poisson regression. Use logistic regression as a binary classifier to distinguish between male and female voices.
&bull; Use non-parametric techniques such as Generalized Additive Models (GAMs) to work with non-linear and non-parametric data.
&bull; Work with tree-based ML models

All the code and supporting files for this course are available at - https://github.com/PacktPublishing/Regression-Analysis-for-Statistics-and-Machine-Learning-in-R</p>
        <h2>What You Will Learn</h2><p>Implement and infer Ordinary Least Square (OLS) regression using R<br>Apply statistical and ML based regression models to deal with problems such as multicollinearity<br>Carry out the variable selection and assess model accuracy using techniques such as cross-validation<br>Implement and infer Generalized Linear Models (GLMs), including using logistic regression as a binary classifier</p>
        <h2>Audience</h2><p>This course is for students interested in getting started with data science applications in the RStudio environment. Students wishing to learn to implement statistical modeling techniques for regression analysis on real data. Anyone with prior exposure to R who wants to get started with practical data science.</p>
        <h2>Approach</h2><p>This is a practical, hands-on course. We will spend some time dealing with some theoretical concepts related to both statistical and machine learning regression analysis. However, the majority of the course will focus on implementing different techniques on real data and interpreting the results. After each video, you will learn a new concept or technique which you can apply to your own projects.</p>
        <h2>Key Features</h2><p>Provided practical indepth training for you to get started with R * Perform some of the most common advanced regression analysis-based techniques * Use R to perform different statistical and machine learning data analysis and visualization tasks</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/regression-analysis-for-statistics-and-machine-learning-in-r</p>
        <h2>About the Author</h2><h3>Minerva Singh</h3><p>Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.</p>
        <h2>Course Outline</h2><h4>1. Get Started with Practical Regression Analysis in R</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools</p></td></tr><tr><td style='padding: 15px;'><p>2. Difference Between Statistical Analysis & Machine Learning</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: Difference Between Statistical Analysis &amp; Machine Learning</p></td></tr><tr><td style='padding: 15px;'><p>3. Getting Started with R and R Studio</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: Getting Started with R and R Studio</p></td></tr><tr><td style='padding: 15px;'><p>4. Reading in Data with R</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: Reading in Data with R</p></td></tr><tr><td style='padding: 15px;'><p>5. Data Cleaning with R</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: Data Cleaning with R</p></td></tr><tr><td style='padding: 15px;'><p>6. Some More Data Cleaning with R</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: Some More Data Cleaning with R</p></td></tr><tr><td style='padding: 15px;'><p>7. Basic Exploratory Data Analysis in R</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: Basic Exploratory Data Analysis in R</p></td></tr><tr><td style='padding: 15px;'><p>8. Conclusion to Section 1</p><p style='margin: 0'>Get Started with Practical Regression Analysis in R: Conclusion to Section 1</p></td></tr></tbody></table><br><h4>2. Ordinary Least Square Regression Modelling</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. OLS Regression- Theory</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: OLS Regression- Theory</p></td></tr><tr><td style='padding: 15px;'><p>2. OLS-Implementation</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: OLS-Implementation</p></td></tr><tr><td style='padding: 15px;'><p>3. More on Result Interpretations</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: More on Result Interpretations</p></td></tr><tr><td style='padding: 15px;'><p>4. Confidence Interval-Theory</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Confidence Interval-Theory</p></td></tr><tr><td style='padding: 15px;'><p>5. Calculate the Confidence Interval in R</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Calculate the Confidence Interval in R</p></td></tr><tr><td style='padding: 15px;'><p>6. Confidence Interval and OLS Regressions</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Confidence Interval and OLS Regressions</p></td></tr><tr><td style='padding: 15px;'><p>7. Linear Regression without Intercept</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Linear Regression without Intercept</p></td></tr><tr><td style='padding: 15px;'><p>8. Implement ANOVA on OLS Regression</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Implement ANOVA on OLS Regression</p></td></tr><tr><td style='padding: 15px;'><p>9. Multiple Linear Regression</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Multiple Linear Regression</p></td></tr><tr><td style='padding: 15px;'><p>10. Multiple Linear regression with Interaction and Dummy Variables</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Multiple Linear regression with Interaction and Dummy Variables</p></td></tr><tr><td style='padding: 15px;'><p>11. Some Basic Conditions that OLS Models Have to Fulfill</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Some Basic Conditions that OLS Models Have to Fulfill</p></td></tr><tr><td style='padding: 15px;'><p>12. Conclusions to Section 2</p><p style='margin: 0'>Ordinary Least Square Regression Modelling: Conclusions to Section 2</p></td></tr></tbody></table><br><h4>3. Deal with Multicollinearity in OLS Regression Models</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Identify Multicollinearity</p><p style='margin: 0'>Deal with Multicollinearity in OLS Regression Models: Identify Multicollinearity</p></td></tr><tr><td style='padding: 15px;'><p>2. Doing Regression Analyses with Correlated Predictor Variables</p><p style='margin: 0'>Deal with Multicollinearity in OLS Regression Models: Doing Regression Analyses with Correlated Predictor Variables</p></td></tr><tr><td style='padding: 15px;'><p>3. Principal Component Regression in R</p><p style='margin: 0'>Deal with Multicollinearity in OLS Regression Models: Principal Component Regression in R</p></td></tr><tr><td style='padding: 15px;'><p>4. Partial Least Square Regression in R</p><p style='margin: 0'>Deal with Multicollinearity in OLS Regression Models: Partial Least Square Regression in R</p></td></tr><tr><td style='padding: 15px;'><p>5. Ridge Regression in R</p><p style='margin: 0'>Deal with Multicollinearity in OLS Regression Models: Ridge Regression in R</p></td></tr><tr><td style='padding: 15px;'><p>6. LASSO Regression</p><p style='margin: 0'>Deal with Multicollinearity in OLS Regression Models: LASSO Regression</p></td></tr><tr><td style='padding: 15px;'><p>7. Conclusion to Section 3</p><p style='margin: 0'>Deal with Multicollinearity in OLS Regression Models: Conclusion to Section 3</p></td></tr></tbody></table><br><h4>4. Variable & Model Selection</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Why Do Any Kind of Selection?</p><p style='margin: 0'>Variable &amp; Model Selection: Why Do Any Kind of Selection?</p></td></tr><tr><td style='padding: 15px;'><p>2. Select the Most Suitable OLS Regression Model</p><p style='margin: 0'>Variable &amp; Model Selection: Select the Most Suitable OLS Regression Model</p></td></tr><tr><td style='padding: 15px;'><p>3. Select Model Subsets</p><p style='margin: 0'>Variable &amp; Model Selection: Select Model Subsets</p></td></tr><tr><td style='padding: 15px;'><p>4. Machine Learning Perspective on Evaluate Regression Model Accuracy</p><p style='margin: 0'>Variable &amp; Model Selection: Machine Learning Perspective on Evaluate Regression Model Accuracy</p></td></tr><tr><td style='padding: 15px;'><p>5. Evaluate Regression Model Performance</p><p style='margin: 0'>Variable &amp; Model Selection: Evaluate Regression Model Performance</p></td></tr><tr><td style='padding: 15px;'><p>6. LASSO Regression for Variable Selection</p><p style='margin: 0'>Variable &amp; Model Selection: LASSO Regression for Variable Selection</p></td></tr><tr><td style='padding: 15px;'><p>7. Identify the Contribution of Predictors in Explaining the Variation in Y</p><p style='margin: 0'>Variable &amp; Model Selection: Identify the Contribution of Predictors in Explaining the Variation in Y</p></td></tr><tr><td style='padding: 15px;'><p>8. Conclusions to Section 4</p><p style='margin: 0'>Variable &amp; Model Selection: Conclusions to Section 4</p></td></tr></tbody></table><br><h4>5. Dealing with Other Violations of the OLS Regression Models</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Data Transformations</p><p style='margin: 0'>Dealing with Other Violations of the OLS Regression Models: Data Transformations</p></td></tr><tr><td style='padding: 15px;'><p>2. Robust Regression-Deal with Outliers</p><p style='margin: 0'>Dealing with Other Violations of the OLS Regression Models: Robust Regression-Deal with Outliers</p></td></tr><tr><td style='padding: 15px;'><p>3. Dealing with Heteroscedasticity</p><p style='margin: 0'>Dealing with Other Violations of the OLS Regression Models: Dealing with Heteroscedasticity</p></td></tr><tr><td style='padding: 15px;'><p>4. Conclusions to Section 5</p><p style='margin: 0'>Dealing with Other Violations of the OLS Regression Models: Conclusions to Section 5</p></td></tr></tbody></table><br><h4>6. Generalized Linear Models (GLMs)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What are GLMs?</p><p style='margin: 0'>Generalized Linear Models (GLMs): What are GLMs?</p></td></tr><tr><td style='padding: 15px;'><p>2. Logistic regression</p><p style='margin: 0'>Generalized Linear Models (GLMs): Logistic regression</p></td></tr><tr><td style='padding: 15px;'><p>3. Logistic Regression for Binary Response Variable</p><p style='margin: 0'>Generalized Linear Models (GLMs): Logistic Regression for Binary Response Variable</p></td></tr><tr><td style='padding: 15px;'><p>4. Multinomial Logistic Regression</p><p style='margin: 0'>Generalized Linear Models (GLMs): Multinomial Logistic Regression</p></td></tr><tr><td style='padding: 15px;'><p>5. Regression for Count Data</p><p style='margin: 0'>Generalized Linear Models (GLMs): Regression for Count Data</p></td></tr><tr><td style='padding: 15px;'><p>6. Goodness of fit testing</p><p style='margin: 0'>Generalized Linear Models (GLMs): Goodness of fit testing</p></td></tr><tr><td style='padding: 15px;'><p>7. Conclusions to Section 6</p><p style='margin: 0'>Generalized Linear Models (GLMs): Conclusions to Section 6</p></td></tr></tbody></table><br><h4>7. Working with Non-Parametric and Non-Linear Data</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Polynomial and Non-linear regression</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Polynomial and Non-linear regression</p></td></tr><tr><td style='padding: 15px;'><p>2. Generalized Additive Models (GAMs) in R</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Generalized Additive Models (GAMs) in R</p></td></tr><tr><td style='padding: 15px;'><p>3. Boosted GAM Regression</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Boosted GAM Regression</p></td></tr><tr><td style='padding: 15px;'><p>4. Multivariate Adaptive Regression Splines (MARS)</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Multivariate Adaptive Regression Splines (MARS)</p></td></tr><tr><td style='padding: 15px;'><p>5. CART-Regression Trees in R</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: CART-Regression Trees in R</p></td></tr><tr><td style='padding: 15px;'><p>6. Conditional Inference Trees</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Conditional Inference Trees</p></td></tr><tr><td style='padding: 15px;'><p>7. Random Forest(RF)</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Random Forest(RF)</p></td></tr><tr><td style='padding: 15px;'><p>8. Gradient Boosting Regression</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Gradient Boosting Regression</p></td></tr><tr><td style='padding: 15px;'><p>9. ML Model Selection</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: ML Model Selection</p></td></tr><tr><td style='padding: 15px;'><p>10. Conclusions to Section 7</p><p style='margin: 0'>Working with Non-Parametric and Non-Linear Data: Conclusions to Section 7</p></td></tr></tbody></table>

Learn complete hands-on Regression analysis for practical Statistical modelling and Machine Learning in R
With so many R Statistics and Machine Learning courses around, why enroll for this? Regression analysis is one of the central aspects of both Statistics and Machine Learning based analysis. This course will teach you Regression analysis for both Statistical data analysis and ML in R. It explores relevant concepts in a practical way, from basic to expert level. This course can help you achieve better grades, gain new analysis tools for your academic career, implement your knowledge in a work setting, and make business forecasting-related decisions. You will go all the way from implementing and inferring simple OLS (Ordinary Least Square) regression models to dealing with issues of multicollinearity in regression to ML based regression models. Become a Regression analysis expert and harness the power of R for your analysis • Get started with R and RStudio. Install these on your system, learn to load packages, and read in different types of data in R
• Carry out data cleaning and data visualization using R
• Implement Ordinary Least Square (OLS) regression in R and learn how to interpret the results.
• Learn how to deal with multicollinearity both through the variable selection and regularization techniques such as ridge regression
• Carry out variable and regression model selection using both statistical and machine learning techniques, including using cross-validation methods.
• Evaluate the regression model accuracy
• Implement Generalized Linear Models (GLMs) such as logistic regression and Poisson regression. Use logistic regression as a binary classifier to distinguish between male and female voices.
• Use non-parametric techniques such as Generalized Additive Models (GAMs) to work with non-linear and non-parametric data.
• Work with tree-based ML models All the code and supporting files for this course are available at - https://github.com/PacktPublishing/Regression-Analysis-for-Statistics-and-Machine-Learning-in-R
What You Will Learn
Implement and infer Ordinary Least Square (OLS) regression using R
Apply statistical and ML based regression models to deal with problems such as multicollinearity
Carry out the variable selection and assess model accuracy using techniques such as cross-validation
Implement and infer Generalized Linear Models (GLMs), including using logistic regression as a binary classifier
Audience
This course is for students interested in getting started with data science applications in the RStudio environment. Students wishing to learn to implement statistical modeling techniques for regression analysis on real data. Anyone with prior exposure to R who wants to get started with practical data science.
Approach
This is a practical, hands-on course. We will spend some time dealing with some theoretical concepts related to both statistical and machine learning regression analysis. However, the majority of the course will focus on implementing different techniques on real data and interpreting the results. After each video, you will learn a new concept or technique which you can apply to your own projects.
Key Features
Provided practical indepth training for you to get started with R * Perform some of the most common advanced regression analysis-based techniques * Use R to perform different statistical and machine learning data analysis and visualization tasks
Github Repo
https://github.com/packtpublishing/regression-analysis-for-statistics-and-machine-learning-in-r
About the Author
Minerva Singh
Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.
Course Outline
1. Get Started with Practical Regression Analysis in R

1. INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools
Get Started with Practical Regression Analysis in R: INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools
2. Difference Between Statistical Analysis & Machine Learning
Get Started with Practical Regression Analysis in R: Difference Between Statistical Analysis & Machine Learning
3. Getting Started with R and R Studio
Get Started with Practical Regression Analysis in R: Getting Started with R and R Studio
4. Reading in Data with R
Get Started with Practical Regression Analysis in R: Reading in Data with R
5. Data Cleaning with R
Get Started with Practical Regression Analysis in R: Data Cleaning with R
6. Some More Data Cleaning with R
Get Started with Practical Regression Analysis in R: Some More Data Cleaning with R
7. Basic Exploratory Data Analysis in R
Get Started with Practical Regression Analysis in R: Basic Exploratory Data Analysis in R
8. Conclusion to Section 1
Get Started with Practical Regression Analysis in R: Conclusion to Section 1
2. Ordinary Least Square Regression Modelling

1. OLS Regression- Theory
Ordinary Least Square Regression Modelling: OLS Regression- Theory
2. OLS-Implementation
Ordinary Least Square Regression Modelling: OLS-Implementation
3. More on Result Interpretations
Ordinary Least Square Regression Modelling: More on Result Interpretations
4. Confidence Interval-Theory
Ordinary Least Square Regression Modelling: Confidence Interval-Theory
5. Calculate the Confidence Interval in R
Ordinary Least Square Regression Modelling: Calculate the Confidence Interval in R
6. Confidence Interval and OLS Regressions
Ordinary Least Square Regression Modelling: Confidence Interval and OLS Regressions
7. Linear Regression without Intercept
Ordinary Least Square Regression Modelling: Linear Regression without Intercept
8. Implement ANOVA on OLS Regression
Ordinary Least Square Regression Modelling: Implement ANOVA on OLS Regression
9. Multiple Linear Regression
Ordinary Least Square Regression Modelling: Multiple Linear Regression
10. Multiple Linear regression with Interaction and Dummy Variables
Ordinary Least Square Regression Modelling: Multiple Linear regression with Interaction and Dummy Variables
11. Some Basic Conditions that OLS Models Have to Fulfill
Ordinary Least Square Regression Modelling: Some Basic Conditions that OLS Models Have to Fulfill
12. Conclusions to Section 2
Ordinary Least Square Regression Modelling: Conclusions to Section 2
3. Deal with Multicollinearity in OLS Regression Models

1. Identify Multicollinearity
Deal with Multicollinearity in OLS Regression Models: Identify Multicollinearity
2. Doing Regression Analyses with Correlated Predictor Variables
Deal with Multicollinearity in OLS Regression Models: Doing Regression Analyses with Correlated Predictor Variables
3. Principal Component Regression in R
Deal with Multicollinearity in OLS Regression Models: Principal Component Regression in R
4. Partial Least Square Regression in R
Deal with Multicollinearity in OLS Regression Models: Partial Least Square Regression in R
5. Ridge Regression in R
Deal with Multicollinearity in OLS Regression Models: Ridge Regression in R
6. LASSO Regression
Deal with Multicollinearity in OLS Regression Models: LASSO Regression
7. Conclusion to Section 3
Deal with Multicollinearity in OLS Regression Models: Conclusion to Section 3
4. Variable & Model Selection

1. Why Do Any Kind of Selection?
Variable & Model Selection: Why Do Any Kind of Selection?
2. Select the Most Suitable OLS Regression Model
Variable & Model Selection: Select the Most Suitable OLS Regression Model
3. Select Model Subsets
Variable & Model Selection: Select Model Subsets
4. Machine Learning Perspective on Evaluate Regression Model Accuracy
Variable & Model Selection: Machine Learning Perspective on Evaluate Regression Model Accuracy
5. Evaluate Regression Model Performance
Variable & Model Selection: Evaluate Regression Model Performance
6. LASSO Regression for Variable Selection
Variable & Model Selection: LASSO Regression for Variable Selection
7. Identify the Contribution of Predictors in Explaining the Variation in Y
Variable & Model Selection: Identify the Contribution of Predictors in Explaining the Variation in Y
8. Conclusions to Section 4
Variable & Model Selection: Conclusions to Section 4
5. Dealing with Other Violations of the OLS Regression Models

1. Data Transformations
Dealing with Other Violations of the OLS Regression Models: Data Transformations
2. Robust Regression-Deal with Outliers
Dealing with Other Violations of the OLS Regression Models: Robust Regression-Deal with Outliers
3. Dealing with Heteroscedasticity
Dealing with Other Violations of the OLS Regression Models: Dealing with Heteroscedasticity
4. Conclusions to Section 5
Dealing with Other Violations of the OLS Regression Models: Conclusions to Section 5
6. Generalized Linear Models (GLMs)

1. What are GLMs?
Generalized Linear Models (GLMs): What are GLMs?
2. Logistic regression
Generalized Linear Models (GLMs): Logistic regression
3. Logistic Regression for Binary Response Variable
Generalized Linear Models (GLMs): Logistic Regression for Binary Response Variable
4. Multinomial Logistic Regression
Generalized Linear Models (GLMs): Multinomial Logistic Regression
5. Regression for Count Data
Generalized Linear Models (GLMs): Regression for Count Data
6. Goodness of fit testing
Generalized Linear Models (GLMs): Goodness of fit testing
7. Conclusions to Section 6
Generalized Linear Models (GLMs): Conclusions to Section 6
7. Working with Non-Parametric and Non-Linear Data

1. Polynomial and Non-linear regression
Working with Non-Parametric and Non-Linear Data: Polynomial and Non-linear regression
2. Generalized Additive Models (GAMs) in R
Working with Non-Parametric and Non-Linear Data: Generalized Additive Models (GAMs) in R
3. Boosted GAM Regression
Working with Non-Parametric and Non-Linear Data: Boosted GAM Regression
4. Multivariate Adaptive Regression Splines (MARS)
Working with Non-Parametric and Non-Linear Data: Multivariate Adaptive Regression Splines (MARS)
5. CART-Regression Trees in R
Working with Non-Parametric and Non-Linear Data: CART-Regression Trees in R
6. Conditional Inference Trees
Working with Non-Parametric and Non-Linear Data: Conditional Inference Trees
7. Random Forest(RF)
Working with Non-Parametric and Non-Linear Data: Random Forest(RF)
8. Gradient Boosting Regression
Working with Non-Parametric and Non-Linear Data: Gradient Boosting Regression
9. ML Model Selection
Working with Non-Parametric and Non-Linear Data: ML Model Selection
10. Conclusions to Section 7
Working with Non-Parametric and Non-Linear Data: Conclusions to Section 7

Statistics

Learn complete hands-on Regression analysis for practical Statistical modelling and Machine Learning in R

Regression Analysis for Statistics & Machine Learning in R

GitHub

GitHub is a Git repository hosting service, but it adds many of its own features. While Git is a command line tool, GitHub provides a Web-based graphical interface. It also provides access control and several collaboration features, such as a wikis and basic task management tools for every project.

Complete Git Guide: Understand and Master Git and GitHub

This course takes you through the full spectrum of basic to advanced topics, equipping you with the skills you need to get started with Git and GitHub. With the help of exercises and activities, you will be able to grasp all the concepts of Git and GitHub with ease.
Git has become an important aspect of software development. With Git, software developers can easily track the changes made in software files and directories. In this course, all the concepts of Git are explained in detail to help you master Git with ease. The course starts with an introduction to Git and explains the setup and installation process of Git. Next, you will learn to configure and create Git repositories and learn about GitHub fork and the clone processes. Moving along, you will understand how an artifact (file or directory) goes through the Git workflow to reach the climactic point wherein the artifacts are safely placed in the Git database. You will then cover the Git branching basics and learn how to undo changes in a Git repository. Next, you will learn to push and pull changes to GitHub repositories, connect with GitHub through the Secure Shell (SSH) protocol, and customize Git Bash to make it user friendly. Later, you will learn to install and configure the default text editor and merge tools and learn Git comparison, branching, and merging techniques. Finally, you will learn to modify commit history to suit your project needs, use tags to mark production releases, and use the Git toolset to save unfinished work. By the end of this course, you will have a detailed understanding of Git and will have developed the skills needed to apply in the real-world. All the resources for this course are available at https://github.com/packtpublishing/complete-git-and-github-masterclass-beginner-to-git-expert
What You Will Learn
Discover techniques to configure a Git repository
Inspect the Git repository using status and log checks
Communicate with GitHub from a local repository
Customize the Git Bash prompt to increase productivity
Perform Git comparisons between various sections of the Git repository
Undo changes in the Git repository using the checkout, reset, revert, and clean commands
Audience
This course is designed for anyone who is new to Git and GitHub. Developers, engineers, web designers, and enterprise managers, who are looking to use Git as a version control system, will also find this course useful. There is no prerequisite to start this course as all the topics are taught from scratch.
Approach
This course features lab sessions, eye-catching presentations, and engaging activities that will help you to master the concepts of Git and GitHub easily and quickly.
Key Features
Develop a strong understanding of Git with engaging tasks and challenging activities * Understand the basics of public-key cryptography and its implementation * Learn the best practices to use GitHub for managing Git repositories
Github Repo
https://github.com/packtpublishing/complete-git-and-github-masterclass-beginner-to-git-expert
About the Author
Bibhash Roy
Bibhash Roy is a hardened software developer and a professional turned entrepreneur with over 25 years of rich industrial experience (17 years in software development) in diverse fields. However, he is passionate about teaching whatever he has learned in his career spanning an array of prestigious stints at large global corporate powerhouses, such as PricewaterhouseCoopers and Siemens.
Currently, in the role of founder and CEO, he is spearheading Whitepeak Software, a cloud-based software development company that is deeply involved in domains, such as big data, mobile, and the Internet of Things (IoT).
Course Outline
1. Introduction and Getting Started

1. Git Overview
This video introduces you to Git and outlines its position in technology.
2. Background of Git
This video provides an overview of Git.
3. How Git Works? - Part 1
This is the first part of the two-part video that explains the working of Git.
4. How Git Works? - Part 2
This is the second part of the two-part video that explains the working of Git.
5. Who am I?
This video introduces the author.
2. Git Setup and Installation

1. Git Setup on Windows (Lab)
This video demonstrates how to install Git on Windows.
2. Git Setup on Mac (Lab)
This video demonstrates how to install Git on Mac.
3. Git Setup on Linux (Lab)
This video demonstrates how to install Git on Linux.
3. Setting up a Git Repository

1. Basics and Introduction - Setting up a Git Repository
This video provides a brief overview of the creation process of a Git repository.
2. Git Help System (Lab)
This video explains how to access the Git help system.
3. Configuring Author and Email for a Git Repository (Lab)
This video explains how to configure the author's name and email on Git.
4. Initializing an Empty Git Repository (Lab)
This video demonstrates how to create a Git repository from scratch.
5. Converting Existing Unversioned Project to a Git Repository (Lab)
This video demonstrates how to create a Git repository from an existing code base.
4. Entering GitHub

1. What is GitHub?
This video introduces you to GitHub.
2. Another Technique for Creating A Git Repository on GitHub
This video explains another technique for creating a Git repository on GitHub.
3. What is Fork and How to Fork a GitHub Repository (Lab)?
This video demonstrates how to fork a GitHub repository.
4. Copying a GitHub Repository (Lab)
This video explains how to clone a GitHub repository.
5. Committing Changes in Git

1. Basics and Introduction - Committing Changes in Git
This video provides an introduction to the Git commit process.
2. Adding Your Changes in a Git Repository (Lab)
This video explains how to add changes in a Git repository.
3. How to Unstage a Tracked File in Git (Lab)?
This video demonstrates how to unstage a tracked file in Git.
4. Committing Your Changes in a Git Repository (Lab)
This video explains how to use the Git commit command in a Git repository.
6. Inspecting What is Going on in a Git Repository

1. Basics and Introduction - Inspecting What is Going On!
This video explains how to perform status and log checks in a Git repository.
2. How to Check a Status in a Git Repository (Lab)?
This video demonstrates how to check the Git status.
3. How to Check Commit History in a Git Repository (Lab)?
This video explains how to check commit history using the git log command.
7. Git Branching Basics

1. Peeking into Git Branching (Lab)
This video provides an overview of Git branching.
8. Undoing Changes in a Git Repository

1. Checking out Commits in a Git Repository - Part 1 (Lab)
This is the first part of the two-part video that explains how to check commits in a Git repository.
2. Checking out Commits in a Git Repository - Part 2 (Lab)
This is the second part of the two-part video that explains how to check commits in a Git repository.
3. Checking out Files in a Git Repository (Lab)
This video explains how to check files in a Git repository.
4. Reverting Changes in a Git Repository (Lab)
This video demonstrates how to revert changes in a Git repository.
5. Resetting a Git repository - Part 1 (Lab)
This is the first part of the three-part video that explains how to reset a Git repository.
6. Resetting a Git Repository - Part 2(Lab)
This is the second part of the three-part video that explains how to reset a Git repository.
7. Resetting a Git repository - Part 3 (Lab)
This is the third part of the three-part video that explains how to reset a Git repository.
8. Cleaning a Git Repository (Lab)
This video explains how to clean a Git repository.
9. Pushing into GitHub

1. Basics and Introduction - Pushing into GitHub!
This video introduces the Git pull/push process.
2. Best Practice - Pulling Changes from a GitHub Repository (Lab)
This video explains how to use the Git pull process.
3. Transferring Your Commits - Pushing Local Changes into a GitHub Repository (Lab)
This video demonstrates how to use the Git push process.
10. GitHub through Secure Shell (SSH)

1. Basic and Introduction - GitHub through Secure Shell (SSH)
This video introduces you to GitHub using the SSH protocol.
2. Do I Already Have Secure Shell (SSH) Keys (Lab)?
This video explains how to locate existing SSH keys in your Git environment.
3. Generating a Secure Shell (SSH) Key Pair for Local and GitHub Use (Lab)
This video demonstrates how to generate an SSH key through the command line in a Git environment.
4. Secure Shell (SSH) Agent and Keys (Lab)
This video explains how to enable an SSH agent in order to use it from your local Git repository.
5. Adding the Secure Shell (SSH) Key to Your GitHub Account (Lab)
This video explains how to add the SSH key in GitHub.
6. Checking Your Secure Shell (SSH) Connection with GitHub (Lab)
This video explains how to test the SSH connection with your local Git repository and GitHub.
7. Switching Remote GitHub Uniform Resource Locator (URL) (Lab)
This video explains how to switch from HTTPS to SSH and vice-versa between a local Git repository and GitHub.
8. Changing Passphrase of a Secure Shell (SSH) Key Pair (Lab)
This video explains how to change the password of an SSH key in your Git repository.
11. Custom Bash Prompt in Git

1. An Introduction to the Custom Bash Prompt in Git (Lab)
This video introduces you to the custom Bash prompt.
12. Installing and Configuring the Default Text Editor for Git

1. Brief Overview of Git Text Editors (Lab)
This video provides an overview of Git text editors.
2. Installing and Configuring a Text Editor (Sublime Text) for Git on Windows (Lab)
This video demonstrates how to install Sublime Text and configure it to be the default text editor for Git on Windows.
3. Installing and Configuring a Text Editor (Sublime Text) for Git on Linux (Lab)
This video demonstrates how to install Sublime Text and configure it to be the default text editor for Git on Linux.
4. Installing and Configuring a Text Editor (Sublime Text) for Git on Mac (Lab)
This video demonstrates how to install Sublime Text and configure it to be the default text editor for Git on Mac.
13. Installing and Configuring Diff and Merge Tools for a Git repository

1. Brief Overview of Git Diff and Merge Tools (Lab)
This video provided a brief overview of Git diff and merge tools.
2. Installing Git Diff and Merge Tools (p4merge) for Windows (Lab)
This video demonstrates how to install Git diff and merge tools for Windows.
3. Configuring Git Diff and Merge Tools (p4merge) for Windows (Lab)
This video demonstrates how to configure Git diff and merge tools for Windows.
4. Installing Git Diff and Merge Tools (p4merge) for Linux (Lab)
This video demonstrates how to install Git diff and merge tools for Linux.
5. Configuring Git Diff and Merge Tools (p4merge) for Linux (Lab)
This video demonstrates how to configure Git diff and merge tools for Linux.
6. Installing Git Diff and Merge Tools (p4merge) for Mac (Lab)
This video demonstrates how to install Git diff and merge tools for Mac.
7. Configuring Git Diff and Merge Tools (p4merge) for Mac (Lab)
This video demonstrates how to configure Git diff and merge tools for Mac.
14. Git Comparison with Git Diff Tool (p4merge)

1. Viewing and Comparing Changes - Git Working Directory versus Staged (Lab)
This video explains how to view and compare changes in the Git working directory and staged area.
2. Viewing and Comparing Changes - Git Working Directory versus Commit Area (Lab)
This video explains how to view and compare changes in the Git working directory and commit area.
3. Viewing and Comparing Changes - Git Staging Area versus Commit Area (Lab)
This video explains how to view and compare changes in the Git staging area and commit area.
4. Viewing and Comparing Changes between Git Commits (Lab)
This video explains how to view and compare changes between Git commits.
5. Viewing and Comparing Changes for a Single File (Lab)
This video explains how to view and compare changes for a single file.
6. Viewing and Comparing Changes - Local versus Remote (Lab)
This video explains how to view and compare local and remote changes.
15. Deep Dive into Few Git Commands

1. Git log Command - In-Depth
This video focuses on the git log command.
2. Showing and Removing the Git Remote Command
This video explains how to show and remove the git remote command.
16. Git Branching and Merging Techniques

1. Git Branching Deep Dive: Branch Deletions and Renaming (Lab)
This video explains how to rename and delete Git branches.
2. Git Branching Deep Dive: Git Checkout (Lab)
This video explains the git checkout command.
3. Git Merge Using "Fast-Forward" (Lab)
This video focuses on the merge type "fast-forward merge".
4. Git Merge Using "No Fast-Forward" (Lab)
This video explains how to disable "fast-forward" merge.
5. Git 3-Way Merge (Lab)
This video focuses on the merge type "3-way merge".
6. Resolving Git Merge Conflicts - Part 1 (Lab)
This is the first part of the two-part video that explains how to resolve conflicts that may arise during Git merging.
7. Resolving Git Merge Conflicts - Part 2 (Lab)
This is the second part of the two-part video that explains how to resolve conflicts that may arise during Git merging.
8. Introduction to Git Cherry-pick
This video explains a Git technique, called cherry-pick, which enhances team collaboration and provides quick bug fixes.
9. Git Cherry-pick - A Comprehensive Walkthrough (Lab)
This video provides a walkthrough of the git cherry-pick command.
17. Commit History Rewriting in Git

1. Amending Git Commits (Lab)
This video demonstrates how to modify Git commits with or without changing the commit message.
2. Git Rebase Introduction (Lab)
This video introduces you to the concept of Git rebase.
3. Git Rebase Implementation Setup (Lab)
This video explains how to implement the setup for Git rebase.
4. Git Rebase Implementation (Lab)
This video demonstrates how to use Git rebase.
5. Resolving Git Rebase Conflict (Lab)
This video explains how to resolve conflicts that may arise while rebasing.
6. An Introduction to Git Fetch (Lab)
This video explains the git fetch command.
7. Git Pull with Rebase - Part 1 (Lab)
This is the first part of the two-part video that explains Git pull with rebasing.
8. Git Pull with Rebase - Part 2 (Lab)
This is the second part of the two-part video that explains Git pull with rebasing.
9. Git Reference Logs (Reflog) - Part 1 (Lab)
This is the first part of the two-part video that focuses on the concepts of reference logs and access techniques.
10. Git Reflog - Part 2 (Lab)
This is the second part of the two-part video that focuses on the concepts of reference logs and access techniques.
18. Git Tagging

1. Git Tagging: Lightweight and Annotated (Lab)
This video explains the two different types of Git tags: lightweight and annotated.
2. Git Tagging: Determining Tag Type (Lab)
This video explains how to determine the type of Git tag.
3. Git Tagging: Tag Search (Lab)
This video demonstrates how to search Git tags that contain a specific pattern.
4. Git Tagging: Compare, Update, and Delete Tags (Lab)
This video explains how to compare, update, and delete tags.
5. Git Tagging: Pushing and Sharing All Tags (Lab)
This video explains how to push and share all Git tags in one go.
6. Git Tagging: Deleting Pushed Tags (Lab)
This video demonstrates how to delete pushed tags.
7. Git Tagging: Pushing and Sharing Annotated Tags Only (Lab)
This video explains how to push and share annotated tags.
8. Git Tagging: Pushing Annotated Tags by Default (Lab)
This video explains how to get annotated tags pushed by default with the help of a special Git configuration.
9. Git Tagging: Checking Out Tags (Lab)
This video explains how to check out tags.
19. Doing Much More with GitHub

1. Introducing the Pull Request in GitHub
This video introduces you to the pull request in GitHub.
2. Playing with the Pull Request in GitHub (Lab)
This video demonstrates the working of the pull request.
20. Git Toolset

1. Git Stash Introduction - Part 1: Create, Save, List, and Show (Lab)
This is the first part of the two-part video that explains how to create, save, list, and show details of stash.
2. Git Stash Introduction - Part 2: ApplyDrop, Pop, and Clear (Lab)
This is the second part of the two-part video that explains how to apply, drop, pop and clear stashes.
3. Git Stash: Creating a Branch from a Stash (Lab)
This video explains how to move all the contents of a Git stash from one branch to another.
4. Git Stash: Creative Stashing (Lab)
This video explains how to manipulate the git stash command to play around with changes in the staging area.
21. Making Git Bash Friendlier and Productive

1. Customizing Git Bash Prompt (Lab)
This video explains how to create a custom Git Bash prompt that will contain information such as the current working directory.
2. Coloring the Git Bash Prompt (Lab)
This video demonstrates how to add colors to various components to the Git Bash prompt.
3. Git Plug-in for Branch Information (Lab)
This video explains how to customize the Git Bash prompt to include Git branch information.
4. Git Plug-in for Working Directory Status Information in Windows (Lab)
This video explains how to customize the Git Bash prompt to include working directory status information in Windows.
5. Git Plug-in for Working Directory Status Information in Linux (Lab)
This video explains how to customize the Git Bash prompt to include working directory status information in Linux.
6. Git Plug-in for Working Directory Status Information in Mac (Lab)
This video explains how to customize the Git Bash prompt to include working directory status information in Mac.
7. Git Plug-in for Command Autocompletion (Lab)
This video demonstrates how to use autocompletion in Git Bash.
22. Git Tips and Tricks

1. Student Question #1: Can We Rename the Remote Repository Reference?
This video explains how to rename the remote repository reference.
2. Student Question #2: What is Git Squash?
This video explains the concept of Git squash in detail.
3. Student Question #3: Can We Have Multiple Remotes in Git?
This video explains whether we can have multiple remotes in Git.
23. Wrapping up this Git Course!

1. Final Words
This video presents a summary of the course.

Software Development

This course takes you through the full spectrum of basic to advanced topics, equipping you with the skills you need to get started with Git and GitHub. With the help of exercises and activities, you will be able to grasp all the concepts of Git and GitHub with ease.

Git and GitHub Complete Master Class: Beginner to Git Expert

<strong>A carefully structured course that covers everything from installing Git on Linux to understanding Git reset such as soft, mixed, and hard reset. With a perfect blend of animations and live lab demos, the course makes it easy to grasp the concepts.</strong>
        <p>Version Control has always been part of the software development lifecycle to facilitate programmers to restore the previous versions and assist with release management. Git is a popular open-source distributed version control software and manages hundreds of branches with hundreds of programmers very efficiently.

This course includes the following three mini-courses to give you a wholesome experience:

- Git essentials
- Merging types, branching type, stash, and rebase
- Searching, rewriting, history, and reset

We will start with Git installation and learn all the fundamentals in a step-by-step approach. We will also cover Git architecture, which is fundamental in understanding Git. This will be followed by creating Git repositories and adding, changing, and deleting files. You will learn to commit changes to Git, compare commits, and review commit logs. We will also discuss how to undo changes and ignore files based on name, regular expression, and folder name.

Finally, you will learn to use the git log command efficiently to filter the commit log.

By the end of the course, you will gain a strong understanding of the fundamentals of Git, which will also aid in understanding GitHub, BitBucket, and so on.</p>
        <h2>What You Will Learn</h2><p>Understand Git architecture<br>Learn how to revert or undo file changes<br>Explain how to work with tags<br>Explore how to add, delete, move, and edit files<br>Explore how to rebase or rewrite history<br>Understand working with aliases</p>
        <h2>Audience</h2><p>This course is for cloud engineers, DevOps engineers, and architects. Developers, programmers, software managers, and modern operations managers can also take up this course to upskill them.</p>
        <h2>Approach</h2><p>This course follows a theory as well as a practical approach. 90+ bite-sized videos to help you become an expert in Git. With the perfect blend of animations and hands-on demos, the concepts are easy to grasp.</p>
        <h2>Key Features</h2><p>Understand how Git works and master the essentials * Learn about merging types and stashing * Understand Git log filtering, merge conflicts, and searching</p>
        
        <h2>About the Author</h2><h3>Coding Gears | Train Your Brain</h3><p>GlobalETraining (brand name - CodingGears) offers self-paced technical courses and makes them easy to learn.

They have been in the IT training business for many years, offering training courses in Unix, Windows, C#, Java, Python programming, SQL server, manual testing, automation, and so on. Their instructors have 20+ years of experience in various technical areas such as software development, software testing, Windows systems, and network administration, Unix/Linux systems and network administration, virtualization technologies, storage, shell scripting, database management systems (MS SQL Server, MySQL, IBM DB2, Cassandra), containerization (Dockers), Mesos, Marathon, Jenkins, Jira, Elastic Cloud Storage (ECS), Gluster file system, CoreOS, Ansible, and other areas.

CodingGears/GlobalETraining has mentored thousands of students for over a decade and has extensive experience in delivering training-both in-class and online.</p>
        <h2>Course Outline</h2><h4>1. Part 1: Git Essentials</h4><p></p><br><h4>2. Getting Started</h4><p></p><br><h4>3. Git Installation & Basic Concepts</h4><p></p><br><h4>4. Git Architecture & Basic Operations</h4><p></p><br><h4>5. Revert The Changes</h4><p></p><br><h4>6. Ignore Files</h4><p></p><br><h4>7. Git Branches</h4><p></p><br><h4>8. Tags</h4><p></p><br><h4>9. Aliases</h4><p></p><br><h4>10. Remote Repository & Commit Log Filtering</h4><p></p><br><h4>11. Part 1: Conclusion</h4><p></p><br><h4>12. Part 2: Merging Types, Branching Types, Stash and Rebase</h4><p></p><br><h4>13. Merging & Conflicts</h4><p></p><br><h4>14. Branching Strategies</h4><p></p><br><h4>15. Stashing</h4><p></p><br><h4>16. Rebasing</h4><p></p><br><h4>17. Part 3: Searching, Rewriting History and Reset</h4><p></p><br><h4>18. Searching</h4><p></p><br><h4>19. Rewriting History</h4><p></p><br><h4>20. Git Reset</h4><p></p><br><h4>21. Part 3: Conclusion</h4><p></p>

A carefully structured course that covers everything from installing Git on Linux to understanding Git reset such as soft, mixed, and hard reset. With a perfect blend of animations and live lab demos, the course makes it easy to grasp the concepts.
Version Control has always been part of the software development lifecycle to facilitate programmers to restore the previous versions and assist with release management. Git is a popular open-source distributed version control software and manages hundreds of branches with hundreds of programmers very efficiently. This course includes the following three mini-courses to give you a wholesome experience: - Git essentials
- Merging types, branching type, stash, and rebase
- Searching, rewriting, history, and reset We will start with Git installation and learn all the fundamentals in a step-by-step approach. We will also cover Git architecture, which is fundamental in understanding Git. This will be followed by creating Git repositories and adding, changing, and deleting files. You will learn to commit changes to Git, compare commits, and review commit logs. We will also discuss how to undo changes and ignore files based on name, regular expression, and folder name. Finally, you will learn to use the git log command efficiently to filter the commit log. By the end of the course, you will gain a strong understanding of the fundamentals of Git, which will also aid in understanding GitHub, BitBucket, and so on.
What You Will Learn
Understand Git architecture
Learn how to revert or undo file changes
Explain how to work with tags
Explore how to add, delete, move, and edit files
Explore how to rebase or rewrite history
Understand working with aliases
Audience
This course is for cloud engineers, DevOps engineers, and architects. Developers, programmers, software managers, and modern operations managers can also take up this course to upskill them.
Approach
This course follows a theory as well as a practical approach. 90+ bite-sized videos to help you become an expert in Git. With the perfect blend of animations and hands-on demos, the concepts are easy to grasp.
Key Features
Understand how Git works and master the essentials * Learn about merging types and stashing * Understand Git log filtering, merge conflicts, and searching
About the Author
Coding Gears | Train Your Brain
GlobalETraining (brand name - CodingGears) offers self-paced technical courses and makes them easy to learn. They have been in the IT training business for many years, offering training courses in Unix, Windows, C#, Java, Python programming, SQL server, manual testing, automation, and so on. Their instructors have 20+ years of experience in various technical areas such as software development, software testing, Windows systems, and network administration, Unix/Linux systems and network administration, virtualization technologies, storage, shell scripting, database management systems (MS SQL Server, MySQL, IBM DB2, Cassandra), containerization (Dockers), Mesos, Marathon, Jenkins, Jira, Elastic Cloud Storage (ECS), Gluster file system, CoreOS, Ansible, and other areas. CodingGears/GlobalETraining has mentored thousands of students for over a decade and has extensive experience in delivering training-both in-class and online.
Course Outline
1. Part 1: Git Essentials

2. Getting Started

3. Git Installation & Basic Concepts

4. Git Architecture & Basic Operations

5. Revert The Changes

6. Ignore Files

7. Git Branches

8. Tags

9. Aliases

10. Remote Repository & Commit Log Filtering

11. Part 1: Conclusion

12. Part 2: Merging Types, Branching Types, Stash and Rebase

13. Merging & Conflicts

14. Branching Strategies

15. Stashing

16. Rebasing

17. Part 3: Searching, Rewriting History and Reset

18. Searching

19. Rewriting History

20. Git Reset

21. Part 3: Conclusion


A carefully structured course that covers everything from installing Git on Linux to understanding Git reset such as soft, mixed, and hard reset. With a perfect blend of animations and live lab demos, the course makes it easy to grasp the concepts.

Git Essentials for Beginners

<strong>In this course, you will learn everything you need to know about working with Git and GitHub. By the end of this course, you will have the knowledge and confidence you need in order to apply for a job, work in a team, or work on open-source projects.</strong>
        <p>This course is designed to guide you through working with Git and GitHub. You will start by learning how to install Git on Windows, Mac, and Linux and then understand how to use it on the command line. Next, you will get to grips with configuring Git on a computer and creating, cloning, and adding files to a GitHub repository. The videos will also guide you through creating custom branches and tags, opening and managing GitHub issues, and opening and managing pull requests.
All along, the course follows a practical approach, ensuring that you work through plenty of real-life examples. This will give you hands-on experience in building your own repositories, forking the repo, and even safely opening a pull request on your work. Everything you will learn about Git and GitHub in this course is completely transferable to GitLab and Bitbucket.
In a bonus section, we will also learn how to use GitHub Pages to deploy your project.
By the end of this course, you will be well-versed with Git and GitHub fundamentals, and have the skills you need to work through open-source projects.
All code and supporting files are available at https://github.com/PacktPublishing/Git-Essentials-Become-a-Git-and-GitHub-Ninja</p>
        <h2>What You Will Learn</h2><p>Become well-versed with how to clone a GitHub repository<br>Understand how to add files to your GitHub repository<br>Get to grips with resolving merge conflicts<br>Explore GitHub pull requests and discover how to merge Git branches<br>Understand how to stash your code<br>Learn how to use GitHub Pages to deploy your project</p>
        <h2>Audience</h2><p>This course is for developers who are looking to work on open-source projects, or anyone interested in learning the commands and important aspects of Git and GitHub.</p>
        <h2>Approach</h2><p>This course follows a hands-on approach to help you understand the important aspects of Git and GitHub. It not only features detailed explanations but also plenty of examples to ensure that you learn effectively.</p>
        <h2>Key Features</h2><p>Explore how Git and GitHub work, along with their important aspects * Learn how to manage files, commits, and branches * Create custom branches and discover how to manage pull requests</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Git-Essentials-Become-a-Git-and-GitHub-Ninja</p>
        <h2>About the Author</h2><h3>Kalob Taulien</h3><p>Kalob Taulien is a professional web developer who has been developing websites and working with start-ups since 1999. Since many years, he has been writing codes in Python and Django. He is in the core Wagtail CMS team and one of the core leaders in Wagtail-based education. The passion to learn and to share his knowledge by teaching and helping others is something that drives him constantly. His ability to turn complex programming concepts into easy-to-understand bits of knowledge has been called his 'superpower'. Throughout the years, he has built numerous websites. He even provides one-on-one coaching and start-up consulting to new organizations.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome to Git Essentials</p><p style='margin: 0'>Welcome to this course. Here's a very brief overview of what we'll be working on together and what you'll learn along the way.</p></td></tr></tbody></table><br><h4>2. Beginner Git</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Why the command line?</p><p style='margin: 0'>Let's talk about how learning the command-line method will set you up for success in the future.</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Git (Windows Only)</p><p style='margin: 0'>This video shows how to install Git on your Windows computer.</p></td></tr><tr><td style='padding: 15px;'><p>3. Installing Git (MacOS and Linux)</p><p style='margin: 0'>This video shows how to install Git on Mac and Linux computers.</p></td></tr><tr><td style='padding: 15px;'><p>4. Getting started with GitHub</p><p style='margin: 0'>Let's jump into GitHub! GitHub is a free service for your public projects.</p></td></tr><tr><td style='padding: 15px;'><p>5. Configuring Git on Your Computer</p><p style='margin: 0'>Beginner Git: Configuring git on your computer will tell GitHub, GitLab, and other services who you are. It's how you digitally sign your work.</p></td></tr><tr><td style='padding: 15px;'><p>6. Creating and Adding an SSH Key</p><p style='margin: 0'>SSH keys let you bypass entering your username and email address every time you want to make a change. Don't worry; SSH keys are just as safe as entering your password.</p></td></tr><tr><td style='padding: 15px;'><p>7. How to Clone a Repository</p><p style='margin: 0'>Let's take a look at the "git way" to copy files from GitHub to your computer.</p></td></tr><tr><td style='padding: 15px;'><p>8. What is Cloning, Anyway?</p><p style='margin: 0'>Let's understand what cloning is.</p></td></tr><tr><td style='padding: 15px;'><p>9. How to Create a New Repository on GitHub</p><p style='margin: 0'>Create a brand-new repository on GitHub and add your first file to it!</p></td></tr><tr><td style='padding: 15px;'><p>10. How to Push to Your GitHub Repository</p><p style='margin: 0'>Learn how to add new files to your repository and get them to show up on GitHub.</p></td></tr><tr><td style='padding: 15px;'><p>11. Git Status</p><p style='margin: 0'>Git status is the most popular command you'll use when using Git. You'll need to know it well.</p></td></tr><tr><td style='padding: 15px;'><p>12. Unstaging a File</p><p style='margin: 0'>What happens if you accidentally stage a file for a commit? Let's explore how to undo this.</p></td></tr><tr><td style='padding: 15px;'><p>13. Undeleting a File</p><p style='margin: 0'>Git is a magical program. It's so magical it can even bring files back from the dead.</p></td></tr><tr><td style='padding: 15px;'><p>14. Git Origins and Remotes</p><p style='margin: 0'>Learn what a Git remote and Git origin is. You'll need to know this when working on open-source projects.</p></td></tr><tr><td style='padding: 15px;'><p>15. Git Branching</p><p style='margin: 0'>Branching allows us to safely make changes to our codebase without having to affect everybody on the team. It's the safest method to writing code in teams.</p></td></tr><tr><td style='padding: 15px;'><p>16. Committing to a New Branch</p><p style='margin: 0'>Branches share their main code base with the master branch. But pushing your changes to GitHub is a slightly different process. It's easier than you expect!</p></td></tr><tr><td style='padding: 15px;'><p>17. Merging Branch into Master</p><p style='margin: 0'>Merging is how you take the code from one branch and mix it into another branch. It's an essential skill when using branches and working in teams.</p></td></tr><tr><td style='padding: 15px;'><p>18. Seeing Your Git History</p><p style='margin: 0'>Git lets you travel through time and see your old work (and other people's older work).</p></td></tr><tr><td style='padding: 15px;'><p>19. Downloading Updates from GitHub</p><p style='margin: 0'>When working with other people, sometimes they will add work to GitHub that you don't have yet. You'll need to download those updates frequently, and here's how.</p></td></tr><tr><td style='padding: 15px;'><p>20. How to Get Updates from GitHub</p><p style='margin: 0'>Occasionally, you'll want to see what updates are available in your branch but you might not be ready to apply them yet. Here's how we take a sneak peek into the future of our codebase.</p></td></tr><tr><td style='padding: 15px;'><p>21. Checkout: Code-Time Travel</p><p style='margin: 0'>With Git, because it's a version control system, you can essentially go back in time and look around the codebase.</p></td></tr><tr><td style='padding: 15px;'><p>22. README.md Files</p><p style='margin: 0'>Readme files are one of the most common types of files you'll see in most Git repositories. In this video, we will look at what they are, what goes into them, and how they work.</p></td></tr></tbody></table><br><h4>3. Advanced Git</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Viewing File Differences</p><p style='margin: 0'>Git allows us to see the changes we've made in a file. There's no possible way we can remember all our changes, but that's OK, because Git will keep track of it all for us.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Ignore Files</p><p style='margin: 0'>In a larger project, you'll want to avoid adding useless files. In this lesson, we'll dive into automating this, so we never accidentally commit the wrong file, such as passwords, to-dos, or entire databases.</p></td></tr><tr><td style='padding: 15px;'><p>3. Create a Custom Git Alias</p><p style='margin: 0'>Git lets you create custom commands. In this lesson, we'll create a custom Git alias and improve our standard logging tool.</p></td></tr><tr><td style='padding: 15px;'><p>4. Fixing Git Commit Messages</p><p style='margin: 0'>We all make typos, it's a fact of life. But that doesn't mean you need to live with them. Learn how to fix a typo in a Git commit.</p></td></tr><tr><td style='padding: 15px;'><p>5. How to Fork a Repo</p><p style='margin: 0'>Forking is an insanely important part of using Git and services such as GitHub and GitLab.</p></td></tr><tr><td style='padding: 15px;'><p>6. Git Issues</p><p style='margin: 0'>Issues are a somewhat mislabelled feature, but they are incredibly important when working with other people. Let's demystify this feature.</p></td></tr><tr><td style='padding: 15px;'><p>7. How to Open a Pull Request</p><p style='margin: 0'>Pull requests are going to be a common feature and tool you'll use when working in a team. This is the official method to ask, "Can I mix my code into yours?"</p></td></tr><tr><td style='padding: 15px;'><p>8. Undoing a Commit</p><p style='margin: 0'>We've all accidentally made a commit we wish we could take back. Maybe it was missing files, maybe it was work on the wrong branch. Either way, let's undo it.</p></td></tr><tr><td style='padding: 15px;'><p>9. Force Pushing</p><p style='margin: 0'>Force pushing is dangerous, and occasionally required. Learn about the dangers and uses of a force push.</p></td></tr><tr><td style='padding: 15px;'><p>10. How to Rebase</p><p style='margin: 0'>Rebasing is like a merge, but it's how the pros do it. There are pros and cons to using a rebase over a merge, and we'll explore all of that together in this lesson.</p></td></tr><tr><td style='padding: 15px;'><p>11. Resolving Merge and Rebase Conflicts</p><p style='margin: 0'>When you try to merge/rebase code into other branches or other repos, and you and someone else has made a change on the same line, you'll get a conflict! Let's resolve them both now!</p></td></tr><tr><td style='padding: 15px;'><p>12. How to Stash Code</p><p style='margin: 0'>Stashing code is kind of like a temporary save feature. It lets you save all your work, work on other files, and come back exactly where you left off. It's a life-saving tool for every developer.</p></td></tr><tr><td style='padding: 15px;'><p>13. Adding Tags to Your Commits</p><p style='margin: 0'>Tags are used less often than other features in this course, but they can be incredibly useful especially when it comes to adding version numbers to your project.</p></td></tr></tbody></table><br><h4>4. Bonus - Launching Your Website with GitHub Pages</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Let's take a quick sneak peek into this bonus section and see what we will perform.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating a GitHub Account</p><p style='margin: 0'>In this video, we'll set up and create our free GitHub account.</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating a "Special" Repository</p><p style='margin: 0'>In this video, we'll set up and create a "special" repository for our website.</p></td></tr><tr><td style='padding: 15px;'><p>4. Downloading (Cloning) Your Repository</p><p style='margin: 0'>In this video, we'll download and learn how to clone a repository.</p></td></tr><tr><td style='padding: 15px;'><p>5. Creating Your First File</p><p style='margin: 0'>In this video, we'll learn how to create our first "hello world" file.</p></td></tr><tr><td style='padding: 15px;'><p>6. Pushing the File to GitHub</p><p style='margin: 0'>In this video, we'll learn how to push files from your desktop to GitHub.</p></td></tr><tr><td style='padding: 15px;'><p>7. Viewing Your Website</p><p style='margin: 0'>In this video, we'll see how our website is deployed using GitHub pages.</p></td></tr><tr><td style='padding: 15px;'><p>8. Making Your Website Beautiful</p><p style='margin: 0'>In this video, we'll use a free template for our website.</p></td></tr><tr><td style='padding: 15px;'><p>9. Adding Your Custom Projects</p><p style='margin: 0'>In this video, we'll add custom projects to our website.</p></td></tr><tr><td style='padding: 15px;'><p>10. Ignoring Files</p><p style='margin: 0'>In this video, we'll see how to ignore pushing unwanted files to our repository.</p></td></tr><tr><td style='padding: 15px;'><p>11. Project Summary</p><p style='margin: 0'>It's time to implement your learning from the section and create your own GitHub Pages website.</p></td></tr></tbody></table><br><h4>5. Summary</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Final Lesson</p><p style='margin: 0'>This is a summary lesson of what we've learned.</p></td></tr></tbody></table>

In this course, you will learn everything you need to know about working with Git and GitHub. By the end of this course, you will have the knowledge and confidence you need in order to apply for a job, work in a team, or work on open-source projects.
This course is designed to guide you through working with Git and GitHub. You will start by learning how to install Git on Windows, Mac, and Linux and then understand how to use it on the command line. Next, you will get to grips with configuring Git on a computer and creating, cloning, and adding files to a GitHub repository. The videos will also guide you through creating custom branches and tags, opening and managing GitHub issues, and opening and managing pull requests.
All along, the course follows a practical approach, ensuring that you work through plenty of real-life examples. This will give you hands-on experience in building your own repositories, forking the repo, and even safely opening a pull request on your work. Everything you will learn about Git and GitHub in this course is completely transferable to GitLab and Bitbucket.
In a bonus section, we will also learn how to use GitHub Pages to deploy your project.
By the end of this course, you will be well-versed with Git and GitHub fundamentals, and have the skills you need to work through open-source projects.
All code and supporting files are available at https://github.com/PacktPublishing/Git-Essentials-Become-a-Git-and-GitHub-Ninja
What You Will Learn
Become well-versed with how to clone a GitHub repository
Understand how to add files to your GitHub repository
Get to grips with resolving merge conflicts
Explore GitHub pull requests and discover how to merge Git branches
Understand how to stash your code
Learn how to use GitHub Pages to deploy your project
Audience
This course is for developers who are looking to work on open-source projects, or anyone interested in learning the commands and important aspects of Git and GitHub.
Approach
This course follows a hands-on approach to help you understand the important aspects of Git and GitHub. It not only features detailed explanations but also plenty of examples to ensure that you learn effectively.
Key Features
Explore how Git and GitHub work, along with their important aspects * Learn how to manage files, commits, and branches * Create custom branches and discover how to manage pull requests
Github Repo
https://github.com/PacktPublishing/Git-Essentials-Become-a-Git-and-GitHub-Ninja
About the Author
Kalob Taulien
Kalob Taulien is a professional web developer who has been developing websites and working with start-ups since 1999. Since many years, he has been writing codes in Python and Django. He is in the core Wagtail CMS team and one of the core leaders in Wagtail-based education. The passion to learn and to share his knowledge by teaching and helping others is something that drives him constantly. His ability to turn complex programming concepts into easy-to-understand bits of knowledge has been called his 'superpower'. Throughout the years, he has built numerous websites. He even provides one-on-one coaching and start-up consulting to new organizations.
Course Outline
1. Introduction

1. Welcome to Git Essentials
Welcome to this course. Here's a very brief overview of what we'll be working on together and what you'll learn along the way.
2. Beginner Git

1. Why the command line?
Let's talk about how learning the command-line method will set you up for success in the future.
2. Installing Git (Windows Only)
This video shows how to install Git on your Windows computer.
3. Installing Git (MacOS and Linux)
This video shows how to install Git on Mac and Linux computers.
4. Getting started with GitHub
Let's jump into GitHub! GitHub is a free service for your public projects.
5. Configuring Git on Your Computer
Beginner Git: Configuring git on your computer will tell GitHub, GitLab, and other services who you are. It's how you digitally sign your work.
6. Creating and Adding an SSH Key
SSH keys let you bypass entering your username and email address every time you want to make a change. Don't worry; SSH keys are just as safe as entering your password.
7. How to Clone a Repository
Let's take a look at the "git way" to copy files from GitHub to your computer.
8. What is Cloning, Anyway?
Let's understand what cloning is.
9. How to Create a New Repository on GitHub
Create a brand-new repository on GitHub and add your first file to it!
10. How to Push to Your GitHub Repository
Learn how to add new files to your repository and get them to show up on GitHub.
11. Git Status
Git status is the most popular command you'll use when using Git. You'll need to know it well.
12. Unstaging a File
What happens if you accidentally stage a file for a commit? Let's explore how to undo this.
13. Undeleting a File
Git is a magical program. It's so magical it can even bring files back from the dead.
14. Git Origins and Remotes
Learn what a Git remote and Git origin is. You'll need to know this when working on open-source projects.
15. Git Branching
Branching allows us to safely make changes to our codebase without having to affect everybody on the team. It's the safest method to writing code in teams.
16. Committing to a New Branch
Branches share their main code base with the master branch. But pushing your changes to GitHub is a slightly different process. It's easier than you expect!
17. Merging Branch into Master
Merging is how you take the code from one branch and mix it into another branch. It's an essential skill when using branches and working in teams.
18. Seeing Your Git History
Git lets you travel through time and see your old work (and other people's older work).
19. Downloading Updates from GitHub
When working with other people, sometimes they will add work to GitHub that you don't have yet. You'll need to download those updates frequently, and here's how.
20. How to Get Updates from GitHub
Occasionally, you'll want to see what updates are available in your branch but you might not be ready to apply them yet. Here's how we take a sneak peek into the future of our codebase.
21. Checkout: Code-Time Travel
With Git, because it's a version control system, you can essentially go back in time and look around the codebase.
22. README.md Files
Readme files are one of the most common types of files you'll see in most Git repositories. In this video, we will look at what they are, what goes into them, and how they work.
3. Advanced Git

1. Viewing File Differences
Git allows us to see the changes we've made in a file. There's no possible way we can remember all our changes, but that's OK, because Git will keep track of it all for us.
2. How to Ignore Files
In a larger project, you'll want to avoid adding useless files. In this lesson, we'll dive into automating this, so we never accidentally commit the wrong file, such as passwords, to-dos, or entire databases.
3. Create a Custom Git Alias
Git lets you create custom commands. In this lesson, we'll create a custom Git alias and improve our standard logging tool.
4. Fixing Git Commit Messages
We all make typos, it's a fact of life. But that doesn't mean you need to live with them. Learn how to fix a typo in a Git commit.
5. How to Fork a Repo
Forking is an insanely important part of using Git and services such as GitHub and GitLab.
6. Git Issues
Issues are a somewhat mislabelled feature, but they are incredibly important when working with other people. Let's demystify this feature.
7. How to Open a Pull Request
Pull requests are going to be a common feature and tool you'll use when working in a team. This is the official method to ask, "Can I mix my code into yours?"
8. Undoing a Commit
We've all accidentally made a commit we wish we could take back. Maybe it was missing files, maybe it was work on the wrong branch. Either way, let's undo it.
9. Force Pushing
Force pushing is dangerous, and occasionally required. Learn about the dangers and uses of a force push.
10. How to Rebase
Rebasing is like a merge, but it's how the pros do it. There are pros and cons to using a rebase over a merge, and we'll explore all of that together in this lesson.
11. Resolving Merge and Rebase Conflicts
When you try to merge/rebase code into other branches or other repos, and you and someone else has made a change on the same line, you'll get a conflict! Let's resolve them both now!
12. How to Stash Code
Stashing code is kind of like a temporary save feature. It lets you save all your work, work on other files, and come back exactly where you left off. It's a life-saving tool for every developer.
13. Adding Tags to Your Commits
Tags are used less often than other features in this course, but they can be incredibly useful especially when it comes to adding version numbers to your project.
4. Bonus - Launching Your Website with GitHub Pages

1. Introduction
Let's take a quick sneak peek into this bonus section and see what we will perform.
2. Creating a GitHub Account
In this video, we'll set up and create our free GitHub account.
3. Creating a "Special" Repository
In this video, we'll set up and create a "special" repository for our website.
4. Downloading (Cloning) Your Repository
In this video, we'll download and learn how to clone a repository.
5. Creating Your First File
In this video, we'll learn how to create our first "hello world" file.
6. Pushing the File to GitHub
In this video, we'll learn how to push files from your desktop to GitHub.
7. Viewing Your Website
In this video, we'll see how our website is deployed using GitHub pages.
8. Making Your Website Beautiful
In this video, we'll use a free template for our website.
9. Adding Your Custom Projects
In this video, we'll add custom projects to our website.
10. Ignoring Files
In this video, we'll see how to ignore pushing unwanted files to our repository.
11. Project Summary
It's time to implement your learning from the section and create your own GitHub Pages website.
5. Summary

1. Final Lesson
This is a summary lesson of what we've learned.

In this course, you will learn everything you need to know about working with Git and GitHub. By the end of this course, you will have the knowledge and confidence you need in order to apply for a job, work in a team, or work on open-source projects.

Git Essentials: Become a Git and GitHub Ninja

<strong>This course focuses on the basic features of Git and GitHub such as commits, branches, merging, GitHub, and Git objects. If you are new to Git and GitHub, this course will help you get familiarized with the concepts so that you can use them in your projects and the projects that you potentially will contribute to in the future.</strong>
        <p>This course is designed to guide you through working with Git and GitHub. You will start by learning how to install Git and initialize a new Git repository on Windows, Mac, and Linux/Unix systems and then understand how to use it on the command line.

Next, you will learn the four types of objects in Git: blobs, trees, commits, and annotated tags. Each object has a unique SHA1 hash. All objects are stored in the folders. Every object has just a single reference to it-SHA1 hash. Files are stored in blobs. Filenames are stored in other Git objects called trees.

The videos will guide you through making changes, staging them, and committing them afterward. Also, you will learn and practice how to observe commits tree and checkout different commits to 'travel in time' between different states of the Git repository.

By the end of this course, you will be well-versed with the basics of Git and GitHub.</p>
        <h2>What You Will Learn</h2><p>Create and initialize local and remote Git repositories<br>Synchronize local and remote repository at GitHub<br>Make changes in the working directory, add them to the staging area, and commit<br>Create, checkout, and merge branches<br>Analyze contents of the Git objects<br>Explore pushing and pulling operations<br>Make changes in the files directly at GitHub</p>
        <h2>Audience</h2><p>This course is for complete beginners who are new to Git and GitHub, software developers who want to learn what is Git and how to use its basic features, and developers who want to learn how to connect GitHub and Git repositories.</p>
        <h2>Approach</h2><p>The entire course follows a practical hands-on approach ensuring that you can practice and understand all core Git and GitHub features. It provides interactive activities to give you a practical learning experience.</p>
        <h2>Key Features</h2><p>Explore how Git and GitHub work, along with their basic features * Learn how to manage commits, branches, merging, and objects in GitHub and Git * Perform basic operations such as committing changes, pushing to the remote, and merging branches</p>
        
        <h2>About the Author</h2><h3>Bogdan Stashchuk</h3><p>Bogdan Stashchuk has over 20 years of experience as a software engineering instructor. He excels at breaking down complex topics into easy-to-follow steps. His courses are designed with hands-on exercises, ensuring that learners can actively participate and apply what they learn. From start to finish, students can follow along and complete tasks just as Bogdan demonstrates in his lectures. He also includes challenging assignments with detailed solutions. This approach helps learners understand and remember the material long after they've completed the course. Through his dedication and expertise, Bogdan ensures a valuable and effective learning experience for everyone.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Git and GitHub Crash Course Overview</p><p style='margin: 0'>This section will provide a quick overview of the course and tell you what will be covered in different sections, followed by the difference between Git and GitHub.</p></td></tr></tbody></table><br><h4>2. Getting Started with Git</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Installing Git</p><p style='margin: 0'>Learn how to install Git on your computer.</p></td></tr><tr><td style='padding: 15px;'><p>2. Initializing new Git Repository</p><p style='margin: 0'>Learn how to create and initialize new Git repositories. What to do if you can't rename "master" branch to "main": If you are not able to rename "master" branch to "main" and see the following error: Error: refname refs/heads/master not found  fatal: Branch rename failed  You need to do ONE of the following steps:  Update Git to the latest version.  Proceed working in the "master" branch and rename it to "main" after the first commit or later before we push local changes to the remote repository</p></td></tr><tr><td style='padding: 15px;'><p>3. Git Object Types</p><p style='margin: 0'>In this lesson, the different types of Git objects will be explained. There are four different types of Git objects, namely, blob, tree, commit, and annotated tag.</p></td></tr><tr><td style='padding: 15px;'><p>4. Hashes of the Git Objects</p><p style='margin: 0'>Every object in Git has a specific hash. Hash is a unique identifier of every Git object in the Git repository. Hash is created using specific hash functions, namely SHA-1. Hash functions create fixed length hashes from any variable length input.</p></td></tr></tbody></table><br><h4>3. Committing Changes in the Git Repository</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Adding Changes to the Staging Area</p><p style='margin: 0'>Create a new file in the shell. A file in Git will be in the working directory, staging area(index), or repository. If the file is already located in the working directory, then you can stage it, move it to the staging area, and commit the changes.</p></td></tr><tr><td style='padding: 15px;'><p>2. Configuring Git Author Name and Email</p><p style='margin: 0'>Learn how to configure global Git name and email that will be appended to all the commits you will make.</p></td></tr><tr><td style='padding: 15px;'><p>3. Committing Changes</p><p style='margin: 0'>Create your very first Git commit.</p></td></tr><tr><td style='padding: 15px;'><p>4. Exploring Commits History</p><p style='margin: 0'>You have just created your very first Git commit in the Git repository. Now it's time to explore the history of all commits.</p></td></tr><tr><td style='padding: 15px;'><p>5. Basic Git Commands</p><p style='margin: 0'>In this lesson, we are going to talk about basic Git commands such as git status, git add, git commit, git log, and git checkout.</p></td></tr><tr><td style='padding: 15px;'><p>6. Checking Out Commits and Branches</p><p style='margin: 0'>This lesson is a step-by-step guide to check out the commits made and manage the branches created.</p></td></tr><tr><td style='padding: 15px;'><p>7. File Tracking Statuses in Git</p><p style='margin: 0'>In this lesson, we are going to discuss about the file tracking statuses and how we can modify the files we created. There are four file tracking statuses; namely, untracked, unmodified, modified, and staged.</p></td></tr><tr><td style='padding: 15px;'><p>8. Staging and Committing Changes Using One Command</p><p style='margin: 0'>Once we have modified our file and made changes to it, it is now time to commit those changes.</p></td></tr></tbody></table><br><h4>4. Branches and Merging</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Branches and Merging of the Branches</p><p style='margin: 0'>Branches are needed if you want to work on multiple features in the same project in parallel. A branch is simply a pointer to the specific commit.</p></td></tr><tr><td style='padding: 15px;'><p>2. Branches Merging in Action</p><p style='margin: 0'>Now that we understand how merging branches work, let's see it in action.</p></td></tr><tr><td style='padding: 15px;'><p>3. Exploring Commits Tree Using Graph Option</p><p style='margin: 0'>Let us explore commits utilizing the graph option. To find specific parents for a commit, we need to use the graph option.</p></td></tr></tbody></table><br><h4>5. Working with Remote Repository at GitHub</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. GitHub and Repository Hosting Services Overview</p><p style='margin: 0'>GitHub is a repository hosting site. You can sign up for free and create remote repositories. Remote GitHub repositories can be connected and synchronized with your local Git repositories. Push and pull requests can be performed between the local and remote repositories.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating Remote Repository at GitHub</p><p style='margin: 0'>In this lesson, we will be creating a remote repository in GitHub and connect it to our local repository.</p></td></tr><tr><td style='padding: 15px;'><p>3. Pushing from the Local Repository to Remote</p><p style='margin: 0'>In this video, we will learn how to perform push operations from the local repository in command line to connect to remote repository and add to GitHub. You will be asked to provide your username and password if you are pushing to GitHub for the first time.</p></td></tr><tr><td style='padding: 15px;'><p>4. Committing at GitHub and Pulling to the Local Repository</p><p style='margin: 0'>Once we are done with our push operations, the changes need to be committed at GitHub followed by pull requests.</p></td></tr></tbody></table><br><h4>6. Exploring Git objects</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Exploring and Reading Git Objects</p><p style='margin: 0'>We have already discussed the different types of Git objects so in this lesson, we will learn how to explore and read Git objects.</p></td></tr><tr><td style='padding: 15px;'><p>2. Reading Contents of the HEAD File</p><p style='margin: 0'>The Git folder consists of many subfolders among which we have our HEAD file. The contents of a HEAD file point toward a specific branch.</p></td></tr></tbody></table><br><h4>7. Summary</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Summary</p><p style='margin: 0'>Let's wrap up and quickly go through the things we have learnt through the course.</p></td></tr></tbody></table>

This course focuses on the basic features of Git and GitHub such as commits, branches, merging, GitHub, and Git objects. If you are new to Git and GitHub, this course will help you get familiarized with the concepts so that you can use them in your projects and the projects that you potentially will contribute to in the future.
This course is designed to guide you through working with Git and GitHub. You will start by learning how to install Git and initialize a new Git repository on Windows, Mac, and Linux/Unix systems and then understand how to use it on the command line. Next, you will learn the four types of objects in Git: blobs, trees, commits, and annotated tags. Each object has a unique SHA1 hash. All objects are stored in the folders. Every object has just a single reference to it-SHA1 hash. Files are stored in blobs. Filenames are stored in other Git objects called trees. The videos will guide you through making changes, staging them, and committing them afterward. Also, you will learn and practice how to observe commits tree and checkout different commits to 'travel in time' between different states of the Git repository. By the end of this course, you will be well-versed with the basics of Git and GitHub.
What You Will Learn
Create and initialize local and remote Git repositories
Synchronize local and remote repository at GitHub
Make changes in the working directory, add them to the staging area, and commit
Create, checkout, and merge branches
Analyze contents of the Git objects
Explore pushing and pulling operations
Make changes in the files directly at GitHub
Audience
This course is for complete beginners who are new to Git and GitHub, software developers who want to learn what is Git and how to use its basic features, and developers who want to learn how to connect GitHub and Git repositories.
Approach
The entire course follows a practical hands-on approach ensuring that you can practice and understand all core Git and GitHub features. It provides interactive activities to give you a practical learning experience.
Key Features
Explore how Git and GitHub work, along with their basic features * Learn how to manage commits, branches, merging, and objects in GitHub and Git * Perform basic operations such as committing changes, pushing to the remote, and merging branches
About the Author
Bogdan Stashchuk
Bogdan Stashchuk has over 20 years of experience as a software engineering instructor. He excels at breaking down complex topics into easy-to-follow steps. His courses are designed with hands-on exercises, ensuring that learners can actively participate and apply what they learn. From start to finish, students can follow along and complete tasks just as Bogdan demonstrates in his lectures. He also includes challenging assignments with detailed solutions. This approach helps learners understand and remember the material long after they've completed the course. Through his dedication and expertise, Bogdan ensures a valuable and effective learning experience for everyone.
Course Outline
1. Introduction

1. Git and GitHub Crash Course Overview
This section will provide a quick overview of the course and tell you what will be covered in different sections, followed by the difference between Git and GitHub.
2. Getting Started with Git

1. Installing Git
Learn how to install Git on your computer.
2. Initializing new Git Repository
Learn how to create and initialize new Git repositories. What to do if you can't rename "master" branch to "main": If you are not able to rename "master" branch to "main" and see the following error: Error: refname refs/heads/master not found fatal: Branch rename failed You need to do ONE of the following steps: Update Git to the latest version. Proceed working in the "master" branch and rename it to "main" after the first commit or later before we push local changes to the remote repository
3. Git Object Types
In this lesson, the different types of Git objects will be explained. There are four different types of Git objects, namely, blob, tree, commit, and annotated tag.
4. Hashes of the Git Objects
Every object in Git has a specific hash. Hash is a unique identifier of every Git object in the Git repository. Hash is created using specific hash functions, namely SHA-1. Hash functions create fixed length hashes from any variable length input.
3. Committing Changes in the Git Repository

1. Adding Changes to the Staging Area
Create a new file in the shell. A file in Git will be in the working directory, staging area(index), or repository. If the file is already located in the working directory, then you can stage it, move it to the staging area, and commit the changes.
2. Configuring Git Author Name and Email
Learn how to configure global Git name and email that will be appended to all the commits you will make.
3. Committing Changes
Create your very first Git commit.
4. Exploring Commits History
You have just created your very first Git commit in the Git repository. Now it's time to explore the history of all commits.
5. Basic Git Commands
In this lesson, we are going to talk about basic Git commands such as git status, git add, git commit, git log, and git checkout.
6. Checking Out Commits and Branches
This lesson is a step-by-step guide to check out the commits made and manage the branches created.
7. File Tracking Statuses in Git
In this lesson, we are going to discuss about the file tracking statuses and how we can modify the files we created. There are four file tracking statuses; namely, untracked, unmodified, modified, and staged.
8. Staging and Committing Changes Using One Command
Once we have modified our file and made changes to it, it is now time to commit those changes.
4. Branches and Merging

1. Branches and Merging of the Branches
Branches are needed if you want to work on multiple features in the same project in parallel. A branch is simply a pointer to the specific commit.
2. Branches Merging in Action
Now that we understand how merging branches work, let's see it in action.
3. Exploring Commits Tree Using Graph Option
Let us explore commits utilizing the graph option. To find specific parents for a commit, we need to use the graph option.
5. Working with Remote Repository at GitHub

1. GitHub and Repository Hosting Services Overview
GitHub is a repository hosting site. You can sign up for free and create remote repositories. Remote GitHub repositories can be connected and synchronized with your local Git repositories. Push and pull requests can be performed between the local and remote repositories.
2. Creating Remote Repository at GitHub
In this lesson, we will be creating a remote repository in GitHub and connect it to our local repository.
3. Pushing from the Local Repository to Remote
In this video, we will learn how to perform push operations from the local repository in command line to connect to remote repository and add to GitHub. You will be asked to provide your username and password if you are pushing to GitHub for the first time.
4. Committing at GitHub and Pulling to the Local Repository
Once we are done with our push operations, the changes need to be committed at GitHub followed by pull requests.
6. Exploring Git objects

1. Exploring and Reading Git Objects
We have already discussed the different types of Git objects so in this lesson, we will learn how to explore and read Git objects.
2. Reading Contents of the HEAD File
The Git folder consists of many subfolders among which we have our HEAD file. The contents of a HEAD file point toward a specific branch.
7. Summary

1. Summary
Let's wrap up and quickly go through the things we have learnt through the course.

This course focuses on the basic features of Git and GitHub such as commits, branches, merging, GitHub, and Git objects. If you are new to Git and GitHub, this course will help you get familiarized with the concepts so that you can use them in your projects and the projects that you potentially will contribute to in the future.

Git and GitHub Crash Course

<strong>Not sure where to start your DevOps journey? Or want to know what kind of activities a DevOps engineer would do on Git and GitHub in the real world? Or would you like to set up a production-ready Git environment for your developers? Then this course is for you.</strong>
        <p>This course is created from the perspective of a DevOps Engineer who does not write much application code. The author has taken a real-world project to explain the process from creating a repository to releasing code onto the production environment. This gives a complete understanding of the power of Git and GitHub.

This course starts with installing Git on Windows, then you will set up an EC2 instance and install Git on Linux. After that, you will work with Git Bash and then create a repository on Git and GitHub. Post which you will clone a repository from GitHub and work with other developer code. Next, you will be working with commits on Git and GitHub. You will also be working with branches on Git and GitHub. Next, you will create a pull request and work with private repositories.

Following that, you will revert changes from the working directory, staging area, and local repository and understand the concept of Git Rebase, Git Fetch, and Git Pull.

Finally, you will understand DevOps Engineer roles on Git with the help of a project.

By the end of this course, you will be able to get a complete understanding of the power of Git and GitHub. You will feel confident using Git and GitHub to manage your job as a DevOps engineer. You will also have set up a production-ready Git environment for your developers.

All the resources are available on the GitHub repository at https://github.com/PacktPublishing/git_course</p>
        <h2>What You Will Learn</h2><p>Set up an EC2 instance and install Git on Linux<br>Create a repository on Git and GitHub<br>Clone a repository from GitHub<br>Work with branches on Git and GitHub<br>Create a pull request and work with private repositories<br>Understand the concept of Git Rebase, Git fetch, and Git Pull</p>
        <h2>Audience</h2><p>This course is designed for individuals and any IT professional who wants to start their career in DevOps. This will also benefit DevOps engineer who wants to get a complete picture of Git and GitHub activities and understand their roles on Git with the help of a project.<br><br>To gain the most out of this course, you should have basic knowledge of Linux and Git.</p>
        <h2>Approach</h2><p>This is a well-structured, hands-on, and comprehensive course keeping in mind the beginner level in the IT domain. This course helps in creating a repository to release code onto the production environment and understanding DevOps engineer roles on Git with the help of a project.<br><br>The course is inclined with a starting point for the DevOps journey and DevOps Engineer roles on Git and GitHub and you will get an opportunity to work on the hands-on labs.</p>
        <h2>Key Features</h2><p>A comprehensive course along with hands-on practical lab * Learn how to use Git and GitHub to manage a DevOps engineer job * The course inclined with a starting point for the DevOps journey and DevOps engineer roles on Git and GitHub</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/git_course</p>
        <h2>About the Author</h2><h3>Valaxy Technologies</h3><p>Valaxy Technologies is recognized as one of the top Cloud and DevOps trainers. A.R. Shankar is the owner, founder, and one of the many instructors at Valaxy Technologies. While he has worked with various technologies in his career, he specializes in Cloud and DevOps. 

Valaxy Technologies has exponentially grown ever since its inception in 2013. The instructors at Valaxy Technologies have trained over 100,000 global learners. </p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Overview</p><p style='margin: 0'>This video provides an overview of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Before Starting</p><p style='margin: 0'>This video provides an extension and focus areas about this course in detail and also key focus points.</p></td></tr><tr><td style='padding: 15px;'><p>3. About Instructor</p><p style='margin: 0'>This video talks about the instructor and his journey.</p></td></tr><tr><td style='padding: 15px;'><p>4. What is Version Control System</p><p style='margin: 0'>This video explains the version control system in detail.</p></td></tr><tr><td style='padding: 15px;'><p>5. Installing Git on Windows</p><p style='margin: 0'>This video demonstrates the installation of Git on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>6. Set Up an EC2 instance and Install Git on Linux</p><p style='margin: 0'>This video demonstrates setting up an EC2 instance and installing Git on Linux.</p></td></tr><tr><td style='padding: 15px;'><p>7. Working with Git Bash</p><p style='margin: 0'>This video demonstrates working with Git Bash.</p></td></tr></tbody></table><br><h4>2. Working with Git</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating a Repository on Git</p><p style='margin: 0'>This video demonstrates creating a repository on Git.</p></td></tr><tr><td style='padding: 15px;'><p>2. Git Stages</p><p style='margin: 0'>This video explains about the Git stages.</p></td></tr><tr><td style='padding: 15px;'><p>3. Git Workflow</p><p style='margin: 0'>This video explains about the Git workflow.</p></td></tr><tr><td style='padding: 15px;'><p>4. Compare Code Changes with Different Git Stages</p><p style='margin: 0'>This video helps us compare code changes with different Git stages.</p></td></tr><tr><td style='padding: 15px;'><p>5. Compare Code Changes with Different Local Commits</p><p style='margin: 0'>This video helps us compare code changes with different local commits.</p></td></tr></tbody></table><br><h4>3. Working with GitHub</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Why Do We Need GitHub</p><p style='margin: 0'>This video explains why do we need GitHub.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating GitHub Account</p><p style='margin: 0'>This video demonstrates creating a GitHub account.</p></td></tr><tr><td style='padding: 15px;'><p>3. Creating a Repository on GitHub</p><p style='margin: 0'>This video explains creating a repository on GitHub.</p></td></tr><tr><td style='padding: 15px;'><p>4. Cloning a Repository from GitHub</p><p style='margin: 0'>This video explains cloning a repository from GitHub.</p></td></tr><tr><td style='padding: 15px;'><p>5. Push Code onto Remote Repository</p><p style='margin: 0'>This video demonstrates how to push code onto a remote repository.</p></td></tr></tbody></table><br><h4>4. Working with Other Developers</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Working with Other Developer Code</p><p style='margin: 0'>This video explains working with other developer code.</p></td></tr><tr><td style='padding: 15px;'><p>2. Git Clone Versus Git Pull</p><p style='margin: 0'>This video talks about Git Clone versus Git Pull.</p></td></tr><tr><td style='padding: 15px;'><p>3. Unable to Push Changes onto Remote Repository</p><p style='margin: 0'>This video explains what you should do if you are unable to push changes onto remote repository.</p></td></tr><tr><td style='padding: 15px;'><p>4. Connecting to GitHub Using ssh</p><p style='margin: 0'>This video explains connecting to GitHub using ssh.</p></td></tr><tr><td style='padding: 15px;'><p>5. Map Local Repository with Remote Repository - Git Remote Add</p><p style='margin: 0'>This video explains how to map local repository with remote repository using git remote add.</p></td></tr><tr><td style='padding: 15px;'><p>6. How a Java Developer Pushes Code onto Remote Repository</p><p style='margin: 0'>This video helps you learn how a Java developer pushes code onto remote repository.</p></td></tr></tbody></table><br><h4>5. Git Commits</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Working with Commits on Git</p><p style='margin: 0'>This video explains working with commits on Git.</p></td></tr><tr><td style='padding: 15px;'><p>2. Know Information about Specific Commit on Git - Git Show</p><p style='margin: 0'>This video explains how one can know information about specific commits on Git using Git show.</p></td></tr><tr><td style='padding: 15px;'><p>3. Working with Commits on GitHub</p><p style='margin: 0'>This video explains working with commits on GitHub.</p></td></tr><tr><td style='padding: 15px;'><p>4. Commit Changes Directly on GitHub</p><p style='margin: 0'>This video explains how to commit changes directly on GitHub.</p></td></tr></tbody></table><br><h4>6. Git Branches</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Why Do We Need Branches</p><p style='margin: 0'>This video helps us understand why we need branches.</p></td></tr><tr><td style='padding: 15px;'><p>2. Branching Strategy to Protect Working Code</p><p style='margin: 0'>This video explains the branching strategy to protect working code.</p></td></tr><tr><td style='padding: 15px;'><p>3. Working with Branches on GitHub</p><p style='margin: 0'>This video demonstrates working with branches on GitHub.</p></td></tr><tr><td style='padding: 15px;'><p>4. Working with Branches on Git</p><p style='margin: 0'>This video demonstrates working with branches on Git.</p></td></tr><tr><td style='padding: 15px;'><p>5. Committing Changes on Branches</p><p style='margin: 0'>This video explains committing changes on branches.</p></td></tr><tr><td style='padding: 15px;'><p>6. Merging Changes onto Master Branch from Dev</p><p style='margin: 0'>This video demonstrates merging changes onto master branch from Dev.</p></td></tr><tr><td style='padding: 15px;'><p>7. Resolving Merge Conflicts</p><p style='margin: 0'>This video explains resolving merge conflicts.</p></td></tr></tbody></table><br><h4>7. Working with Team</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Fork a Repository</p><p style='margin: 0'>This video explains how to fork a repository.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating a Pull Request (PR)</p><p style='margin: 0'>This video focuses on creating a Pull Request (PR).</p></td></tr><tr><td style='padding: 15px;'><p>3. Working with Private Repositories</p><p style='margin: 0'>This video explains working with private repositories.</p></td></tr><tr><td style='padding: 15px;'><p>4. Adding Collaborator to a GitHub Repository</p><p style='margin: 0'>This video explains how to add a collaborator to a GitHub repository.</p></td></tr><tr><td style='padding: 15px;'><p>5. Creating Protected Branch</p><p style='margin: 0'>This video demonstrates creating protected branches.</p></td></tr><tr><td style='padding: 15px;'><p>6. Tagging a Commit</p><p style='margin: 0'>This video focuses on tagging a commit.</p></td></tr></tbody></table><br><h4>8. Reverting Changes</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Revert Changes from Working Directory</p><p style='margin: 0'>This video explains how to revert changes from working directory.</p></td></tr><tr><td style='padding: 15px;'><p>2. Reverting Changes from Staging Area and Local Repository</p><p style='margin: 0'>This video focuses on reverting changes from staging area and local repository.</p></td></tr><tr><td style='padding: 15px;'><p>3. Using .Gitignore File</p><p style='margin: 0'>This video explains how to use .gitignore file.</p></td></tr></tbody></table><br><h4>9. Miscellaneous Concepts</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Git Rebase</p><p style='margin: 0'>This video explains the Git rebase.</p></td></tr><tr><td style='padding: 15px;'><p>2. Git Fetch Versus Git Pull</p><p style='margin: 0'>This video explains the difference between Git Fetch and Git Pull.</p></td></tr></tbody></table><br><h4>10. DevOps Engineer Roles on Git - With Project</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Git Project</p><p style='margin: 0'>This video provides an introduction to the Git project.</p></td></tr><tr><td style='padding: 15px;'><p>2. Set Up Git Repository and Branches for New Project</p><p style='margin: 0'>This video helps set up Git repository and branches for a new project.</p></td></tr><tr><td style='padding: 15px;'><p>3. Allowing Developers to Check-In Code</p><p style='margin: 0'>This video helps in allowing developers to check-in code.</p></td></tr><tr><td style='padding: 15px;'><p>4. Enabling DevOps Workflow on Dev Branch</p><p style='margin: 0'>This video explains how to enable DevOps workflow on Dev branch.</p></td></tr><tr><td style='padding: 15px;'><p>5. Pull Request (PR) to Merge Code from Dev Branch to UAT Branch</p><p style='margin: 0'>This video explains how to Pull Request (PR) to merge code from Dev branch to UAT branch.</p></td></tr><tr><td style='padding: 15px;'><p>6. Release Code onto Production</p><p style='margin: 0'>This video explains how to release code onto production.</p></td></tr></tbody></table><br><h4>11. AWS Account Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. How to Create an AWS Account</p><p style='margin: 0'>This video demonstrates how to create an AWS account.</p></td></tr></tbody></table>

Not sure where to start your DevOps journey? Or want to know what kind of activities a DevOps engineer would do on Git and GitHub in the real world? Or would you like to set up a production-ready Git environment for your developers? Then this course is for you.
This course is created from the perspective of a DevOps Engineer who does not write much application code. The author has taken a real-world project to explain the process from creating a repository to releasing code onto the production environment. This gives a complete understanding of the power of Git and GitHub. This course starts with installing Git on Windows, then you will set up an EC2 instance and install Git on Linux. After that, you will work with Git Bash and then create a repository on Git and GitHub. Post which you will clone a repository from GitHub and work with other developer code. Next, you will be working with commits on Git and GitHub. You will also be working with branches on Git and GitHub. Next, you will create a pull request and work with private repositories. Following that, you will revert changes from the working directory, staging area, and local repository and understand the concept of Git Rebase, Git Fetch, and Git Pull. Finally, you will understand DevOps Engineer roles on Git with the help of a project. By the end of this course, you will be able to get a complete understanding of the power of Git and GitHub. You will feel confident using Git and GitHub to manage your job as a DevOps engineer. You will also have set up a production-ready Git environment for your developers. All the resources are available on the GitHub repository at https://github.com/PacktPublishing/git_course
What You Will Learn
Set up an EC2 instance and install Git on Linux
Create a repository on Git and GitHub
Clone a repository from GitHub
Work with branches on Git and GitHub
Create a pull request and work with private repositories
Understand the concept of Git Rebase, Git fetch, and Git Pull
Audience
This course is designed for individuals and any IT professional who wants to start their career in DevOps. This will also benefit DevOps engineer who wants to get a complete picture of Git and GitHub activities and understand their roles on Git with the help of a project.

To gain the most out of this course, you should have basic knowledge of Linux and Git.
Approach
This is a well-structured, hands-on, and comprehensive course keeping in mind the beginner level in the IT domain. This course helps in creating a repository to release code onto the production environment and understanding DevOps engineer roles on Git with the help of a project.

The course is inclined with a starting point for the DevOps journey and DevOps Engineer roles on Git and GitHub and you will get an opportunity to work on the hands-on labs.
Key Features
A comprehensive course along with hands-on practical lab * Learn how to use Git and GitHub to manage a DevOps engineer job * The course inclined with a starting point for the DevOps journey and DevOps engineer roles on Git and GitHub
Github Repo
https://github.com/PacktPublishing/git_course
About the Author
Valaxy Technologies
Valaxy Technologies is recognized as one of the top Cloud and DevOps trainers. A.R. Shankar is the owner, founder, and one of the many instructors at Valaxy Technologies. While he has worked with various technologies in his career, he specializes in Cloud and DevOps. Valaxy Technologies has exponentially grown ever since its inception in 2013. The instructors at Valaxy Technologies have trained over 100,000 global learners. 
Course Outline
1. Introduction to the Course

1. Course Overview
This video provides an overview of the course.
2. Before Starting
This video provides an extension and focus areas about this course in detail and also key focus points.
3. About Instructor
This video talks about the instructor and his journey.
4. What is Version Control System
This video explains the version control system in detail.
5. Installing Git on Windows
This video demonstrates the installation of Git on Windows.
6. Set Up an EC2 instance and Install Git on Linux
This video demonstrates setting up an EC2 instance and installing Git on Linux.
7. Working with Git Bash
This video demonstrates working with Git Bash.
2. Working with Git

1. Creating a Repository on Git
This video demonstrates creating a repository on Git.
2. Git Stages
This video explains about the Git stages.
3. Git Workflow
This video explains about the Git workflow.
4. Compare Code Changes with Different Git Stages
This video helps us compare code changes with different Git stages.
5. Compare Code Changes with Different Local Commits
This video helps us compare code changes with different local commits.
3. Working with GitHub

1. Why Do We Need GitHub
This video explains why do we need GitHub.
2. Creating GitHub Account
This video demonstrates creating a GitHub account.
3. Creating a Repository on GitHub
This video explains creating a repository on GitHub.
4. Cloning a Repository from GitHub
This video explains cloning a repository from GitHub.
5. Push Code onto Remote Repository
This video demonstrates how to push code onto a remote repository.
4. Working with Other Developers

1. Working with Other Developer Code
This video explains working with other developer code.
2. Git Clone Versus Git Pull
This video talks about Git Clone versus Git Pull.
3. Unable to Push Changes onto Remote Repository
This video explains what you should do if you are unable to push changes onto remote repository.
4. Connecting to GitHub Using ssh
This video explains connecting to GitHub using ssh.
5. Map Local Repository with Remote Repository - Git Remote Add
This video explains how to map local repository with remote repository using git remote add.
6. How a Java Developer Pushes Code onto Remote Repository
This video helps you learn how a Java developer pushes code onto remote repository.
5. Git Commits

1. Working with Commits on Git
This video explains working with commits on Git.
2. Know Information about Specific Commit on Git - Git Show
This video explains how one can know information about specific commits on Git using Git show.
3. Working with Commits on GitHub
This video explains working with commits on GitHub.
4. Commit Changes Directly on GitHub
This video explains how to commit changes directly on GitHub.
6. Git Branches

1. Why Do We Need Branches
This video helps us understand why we need branches.
2. Branching Strategy to Protect Working Code
This video explains the branching strategy to protect working code.
3. Working with Branches on GitHub
This video demonstrates working with branches on GitHub.
4. Working with Branches on Git
This video demonstrates working with branches on Git.
5. Committing Changes on Branches
This video explains committing changes on branches.
6. Merging Changes onto Master Branch from Dev
This video demonstrates merging changes onto master branch from Dev.
7. Resolving Merge Conflicts
This video explains resolving merge conflicts.
7. Working with Team

1. Fork a Repository
This video explains how to fork a repository.
2. Creating a Pull Request (PR)
This video focuses on creating a Pull Request (PR).
3. Working with Private Repositories
This video explains working with private repositories.
4. Adding Collaborator to a GitHub Repository
This video explains how to add a collaborator to a GitHub repository.
5. Creating Protected Branch
This video demonstrates creating protected branches.
6. Tagging a Commit
This video focuses on tagging a commit.
8. Reverting Changes

1. Revert Changes from Working Directory
This video explains how to revert changes from working directory.
2. Reverting Changes from Staging Area and Local Repository
This video focuses on reverting changes from staging area and local repository.
3. Using .Gitignore File
This video explains how to use .gitignore file.
9. Miscellaneous Concepts

1. Git Rebase
This video explains the Git rebase.
2. Git Fetch Versus Git Pull
This video explains the difference between Git Fetch and Git Pull.
10. DevOps Engineer Roles on Git - With Project

1. Introduction to Git Project
This video provides an introduction to the Git project.
2. Set Up Git Repository and Branches for New Project
This video helps set up Git repository and branches for a new project.
3. Allowing Developers to Check-In Code
This video helps in allowing developers to check-in code.
4. Enabling DevOps Workflow on Dev Branch
This video explains how to enable DevOps workflow on Dev branch.
5. Pull Request (PR) to Merge Code from Dev Branch to UAT Branch
This video explains how to Pull Request (PR) to merge code from Dev branch to UAT branch.
6. Release Code onto Production
This video explains how to release code onto production.
11. AWS Account Setup

1. How to Create an AWS Account
This video demonstrates how to create an AWS account.

Jenkins

Not sure where to start your DevOps journey? Or want to know what kind of activities a DevOps engineer would do on Git and GitHub in the real world? Or would you like to set up a production-ready Git environment for your developers? Then this course is for you.

Git and GitHub for DevOps Engineers

GitHub is one of the most important code hosting platforms. This hands-on course will help you to understand the concepts with real-world scenarios and use cases. This course will help you become a better developer. No prior coding experience is needed to take up this course, just dedication and commitment to learning.
Git is a Version Control System, whereas GitHub is a centralized repository to host the code, to enable team collaboration. In this course, you will learn about Git and GitHub and all the concepts pertaining to them. It will also cover the use cases and workflows that you need to know as a developer. In this hands-on course, you will start by understanding the need for a Version Control System and how Git operates and will learn how to install Git on your local systems. You will dive deep into Git by understanding the SHA1 Hashing algorithm, blob objects, Git internals, and Git Snapshot. You will explore everything about branches, merging, and three-way mergers in action and learn to perform rebase in VS code. You will also learn about stashing and its use cases and learn to retrieve a specific stash. Later, you will learn to collaborate effectively using GitHub. Concepts such as commits in GitHub, the README.md file, cloning a private repository, and adding project collaborators on GitHub will be covered. You will also explore how to create a remote branch and push changes using Git Bash and VSCode and learn to resolve conflicts on GitHub the right way. It goes on to cover Git fetch and understand its use cases and understand Git pull with the three-way merge. Branching strategy with a real-time scenario will be explained as well. By the end of the course, you will be able to fork the public repository and clone it to your local machine and learn about digital signatures as well as signed commits. All resources and code files are placed here: https://github.com/PacktPublishing/Git-and-GitHub-Masterclass-Fast-Track-Your-Journey-to-Git
What You Will Learn
Understand the need for version control, Git, and branches in Git
Understand the SHA1 Hashing algorithm
Clone a private repository and add project collaborators on GitHub
Learn to create a remote branch and push changes using Git Bash
Learn to sync the forked repository with the original from the local repository
Learn to make signed commits and verify them on GitHub
Audience
This course can be taken by people who are getting started with their developer journey. Managers/team leads who lead a project or someone who wants to get started with their DevOps journey can opt for this course. Passionate learners who want to upgrade their skills for better job prospects can take up this Git and GitHub masterclass course.

No prior programming knowledge is needed to take up this course.
Approach
This is a well-structured, hands-on, and comprehensive course for beginners. Real-time scenarios and use cases are explained, which will come in handy in the future. In this course, you will also learn how to contribute to open-source projects and build your online presence to build credibility.
Key Features
Master the basic Git concepts * Collaborate and manage projects on GitHub * Contribute to open-source projects
Github Repo
https://github.com/PacktPublishing/Git-and-GitHub-Masterclass-Fast-Track-Your-Journey-to-Git
About the Author
Karthikeya T.
Teaching is an art in Karthikeya T.'s opinion. He believes it's the responsibility of the instructor to make sure that the student understands the concepts. He doesn't want to promote his decade and a half of experience in the industry. All his experience means nothing to him if he fails to teach his students in the way they understand. His primary focus is to teach the technology and ease our journey to a successful life.
Course Outline
1. Introduction to Git

1. Introduction
In this video, the author explains the need for GitHub and Git.
2. Need for Version Control System and Git Part 1
This video explains the need for a version control system by taking a real-world scenario.
3. Need for Version Control System and Git Part 2
This video explains how a version control system helps manage the changes, creates a backup, and tracks historical changes.
4. VCS - How It Works
This video explains the working of a version control system software at a high level.
5. Distributed VCS
This video explains the concept of the distributed version control system and its benefits.
6. Installing Git
This video explains the installation of Git on Windows.
7. Git CLI Versus Git Bash Versus Git GUI
This video explains how to interact with Git, which is through Git CLI, Git Bash, and Git GUI.
8. Basic Bash Commands
This video explains the basic bash commands such as mkdir, cd, pwd to name a few.
9. What Exactly Is Git Commit
This video explains Git commit using an example.
10. Initializing the Project and Exploring the .git Folder
This video explains how to initialize the project and explore the .git folder.
11. Configuring Git Credentials and Exploring Local Global System Configs
This video explains how to configure Git credentials and learn its actual purpose.
12. Staging and Unstaging and Checking Status
This video explains staging and unstaging the files inside the Git repository.
13. Understanding Commit with Multiple Use Cases
This video explains committing the changes to Git repository.
2. Git Deep Dive

1. SHA1 Hashing Algorithm
This video explains the SHA1 hashing algorithm.
2. Git Internals (All about Object Database) Part 1
This video explains git internals and all about object database.
3. Git Internals (All about Object Database) Part 2
This video explains how Git stores the data inside an object database.
4. Git Internals - Viewing and Reading Git Objects
This video explains viewing and reading Git objects.
5. How Blob Objects Behave
This video explains the behavior of blob objects.
6. Garbage Collection and Pack Files
This video explains garbage collection and pack files.
7. Git Snapshot - What It Means to Take a Snapshot
This video explains the Git snapshot.
8. Time Travel with Git
This video explains time travel with git.
9. Time Travel in Practice
This video explains time travel with Git using an example.
3. All About Branches

1. Life without Branches
This video explains the life of Git even before branches existed.
2. What Are Git Branches
This video explains what Git branches are.
3. How Branches Solved Our Problems
This video explains how Git branches solved the problem.
4. How Git Branches Work and What Exactly Is a Branch
This video explains how Git branches work and what exactly is a branch.
5. Branches in Action (Creating Branches and Exploring the Git Repo)
This video explains creating a branch and exploring the Git repository.
6. Understanding 'HEAD' - Detached Head State - Head in Action
This video explains Head in Git and Head in action.
7. Undo the Changes with Git Reset HEAD
This video explains how to undo the changes with Git reset HEAD.
8. Retrieving the Lost Mystery with reflog
This video explains how to retrieve the lost mystery with reflog.
4. Merging

1. Fast-Forward Merge
This video explains fast-forward merge.
2. Fast-Forward Merge in Action
This video explains fast-forward merge in action.
3. Deleting the Branch and Recovering
This video explains how to delete the branch and recover the branch.
4. Understanding Three-Way Merge and Merge Commit
This video explains the three-way merge and merge commit.
5. Three-Way Merge in Action
This video explains three-way merge in action.
6. Understanding Merge Conflicts
This video explains merge conflicts.
7. Merge Conflicts in Action Part 1
This video explains merge conflicts in action where you will see a scenario in which you will create a conflict.
8. Merge Conflicts in Action Part 2
This video explains how to resolve conflicts to be able to merge the branches.
9. Installing and Setting Up Visual Studio Code to Work on Git
This video explains the installation of Visual Studio Code to work on Git.
10. Exploring VS Code and Performing GIT Operations
This video explains VS code and performing GIT operations.
5. Rebasing

1. Git Rebase Versus Merge
This video explains the difference between Git rebase vs Merge.
2. Performing Rebase in VS Code and Handling conflicts
This video explains how to perform rebase in VS code and handle conflicts.
3. Git Rebase in Git Bash - Skipping Conflicts and Aborting the Rebase
This video explains skipping conflicts and aborting the rebase.
4. Git Interactive Rebase
This video explains the Git interactive rebase.
5. Rebase to a Specific Commit or to Another Feature Branch
This video explains rebase to a specific commit or to another feature branch.
6. When to Use Rebase and When to Use Merge - Use Cases
This video explains use cases of when to use rebase and when to use merge.
6. Stashing

1. What Is Stashing - Its Use Cases - Example of Stashing
This video explains stashing and its use cases.
2. Applying the Stash Across Multiple Branches
This video explains how to apply the stash across multiple branches.
3. Retrieving a Specific Stash - Listing Stashes - Handling Conflicts
This video explains listing stashes and how to handle conflicts.
4. Stashing Selective Changes and Retrieving Them - Understanding Hunk
This video explains selective stashing changes and how to retrieve them.
5. Exploring Stashing in VS Code - Deleting a Stash
This video explains how to delete a stash.
7. Git Ignore

1. Git Ignore and Its Significance
This video explains Git ignore and its significance.
2. Git Ignore in Action - Global Exclude Config
This video explains Git Ignore in action.
3. Precedence Order - Overriding - Pattern Debugging
This video explains precedence order and pattern debugging.
4. Ignore Files That Were Already Committed
This video explains how to ignore files that were already committed.
5. Generating the Ignore Files for Your Project
This video explains how to generate the Ignore files for your project.
8. Getting Started with GitHub

1. Why GitHub - GitHub Versus Bit Bucket Versus GitLab
This video explains the difference between GitHub, Bit Bucket, and GitLab.
2. Creating GitHub Account
This video explains how to create a GitHub account.
3. Creating and Understanding Public and Private Repositories in GitHub
This video explains public and private repositories on GitHub.
4. Making Commits in GitHub and Understanding ReadMe File
This video explains making commits in GitHub and understanding the ReadMe file.
5. Creating Branch and Committing Changes - Managing Branches in GitHub
This video explains how to manage branches in GitHub.
9. Getting Started as Collaborator

1. Cloning a Public Repo and Exploring Other Options
This video explains how to clone a public repo and explores other options.
2. Cloning a Private Repository and Adding Project Collaborators on GitHub
This video explains how to clone a private repository and add project collaborators on GitHub.
3. Understanding Tracking Branches and Default Branch
This video explains tracking branches and default branch.
4. Making Exploring Tracking Branches - Configuring Default Branch - Understanding Origin-Head
This video explains understanding origin head.
5. Understanding Origin Remote - Adding, Editing, Deleting Remotes
This video explains how to add, edit, and delete the remote repository.
10. Git Fetch

1. Understand Git Fetch and Its Use Cases
This video explains Git fetch and its use cases.
2. Git Fetch in Action Part 1 (Command Variations - Checking Status with Commands)
This video explains checking the status with commands.
3. Git Fetch in Action Part 2 (Exploring References - FETCH_HEAD)
This video explains exploring references.
4. Switching to Remote Repo State
This video explains how to switch to a remote repository state.
5. Merging the Changes - Using FETCH_HEAD
This video explains merging the changes using Fetch Head.
6. Using Visual Studio Code to Fetch and Merge
This video explains using Visual Studio Code to fetch and merge.
7. Updating Local References with Git Fetch
This video explains how to update local references with Git fetch.
11. Git Pull

1. Understanding Git Pull
This video explains understanding Git Pull.
2. Git Pull in Action and Observing What It Does
This video explains Git Pull in action and observing what it does.
3. Understanding Git Pull with Three-Way Merge
This video explains Git Pull with three-way merge.
4. Git Pull with Rebase and Its Implications
This video explains Git Pull with rebase and its implications.
5. Dealing with Conflicts with Git Pull -Rebase
This video explains how to deal with conflicts using Git Pull rebase.
6. Using Stashing and Hard reset
This video explains how to use stashing and hard reset.
12. Git Push - Contributing to a Remote Repository

1. Setting Up Everything for Contributing - Adding Collaborators - Setting Credentials and Making Commits
This video explains setting credentials and making commits to a remote repository.
2. Creating a Remote Branch and Pushing Changes Using Git Bash and VSCode - Pushing to All Branches and VSCode - Pushing to All Branches
This video explains creating a remote branch and pushing changes using Git Bash.
3. Understanding Pull Request - Raising a Pull Request
This video explains how to raise a Pull request.
4. Understanding Protected Branches - Applying Branch Protection Rule - Mandating Code Reviews
This video explains applying the branch protection rule - mandating code reviews.
5. Reviewing and Approving the Changes - Working on Review Comments and Publishing New Changes
This video explains working on review comments and publishing new changes.
6. Exploring the Merging Options - Understanding Squashing Commits - Deleting Remote Branch from the Local Machine
This video explains deleting remote branches from local machine.
7. What Git Pull Actually Does
This video explains what Git Pull does.
8. Resolving Conflicts on GitHub the Right Way - Force Pushing Changes and Its Consequences
This video explains resolving conflicts on GitHub the right way - force pushing changes and their consequences.
9. Divide and Conquer Strategy
This video explains the divide and conquer strategy.
10. Resolving Conflicts by Merging Main into the Feature Branch
This video explains resolving conflicts by merging the main into the feature branch.
13. Forking and Contributing to Opensource Repositories

1. What Is Forking and Why Forking
This video explains forking and why forking is necessary.
2. Forking a Public Repository and Cloning It in Our Local Machine
This video explains forking a public repository and cloning it in our local machine.
3. Contributing the Necessary Changes
This video explains contributing the necessary changes.
4. Syncing the Forked Repository with the Original One and Updating the Local
This video explains syncing the forked repository with the original one and updating the local.
5. Syncing the Forked repo with the original from the local repo
This video explains syncing the forked repo with the original from the local repo.
6. Pushing Our Changes to the Forked Repo
This video explains pushing the changes to the forked repo.
7. Raising the Pull Request and Merging the Changes in the Upstream Repository
This video explains raising the pull request and merging the changes in the upstream repository.
8. Exploring Existing Public Project
This video explains exploring the existing public project.
14. Branching Strategy and Tags

1. Branching Strategy Explained
This video explains the branching strategy.
2. Branching Strategy with Realtime Scenario
This video explains the branching strategy with a real-time scenario.
3. Semantic Versioning Explained
This video explains semantic versioning.
4. Understanding Git Tags
This video explains Git tags.
5. Branching Workflow in Action
This video explains branching workflow in action.
6. Hot Fix Workflow in Action
This video explains the hot fix workflow in actions.
7. Creating Tags - Annotated Versus Lightweight Tags - Pushing Tags to Remote
This video explains pushing tags to remote.
8. Understanding How Tags Are Stored - The Detached Head State with Tags
This video explains the detached head state with tags.
9. Releases and Creating Tags on GitHub
This video explains releases and creating tags on GitHub.
15. Branching Protection Rules

1. Dismiss Stale Pull Request Approvals for New Commits
This video explains dismissing stale pull request approvals for new commits.
2. Configuring Code Owners with Patterns - Automatic Review Request
This video explains the automatic review request.
3. Mandating Conversation Resolution before Merging
This video explains mandating conversation resolution before merging.
4. Exploring All Other Branch Protection Rules
This video explains exploring all other branch protection rules.
16. Digital Signatures and Verified Commits

1. Mimicking the Commits and the Need to Have Verified Commit
This video explains mimicking the commits and the need to have verified commits.
2. Understanding Digital Signatures
This video explains digital signatures.
3. Understanding Signed Commits
This video explains understanding signed commits.
4. Creating Public and Private Keys Using GPG
This video explains how to create public and private keys using GPG.
5. Exporting Public Key and Updating GPG Key on GitHub
This video explains exporting public key and updating GPG key on GitHub.
6. Making Signed Commit - Setting Global Config - Verifying Signed Commits on GitHub
This video explains setting global config - verifying signed commits on GitHub.
7. Mandating Signed Commits - Signing Commits from VS Code
This video explains signing commits from VS code.

DevOps

GitHub is one of the most important code hosting platforms. This hands-on course will help you to understand the concepts with real-world scenarios and use cases. This course will help you become a better developer. No prior coding experience is needed to take up this course, just dedication and commitment to learning.

Git and GitHub Masterclass - Fast-Track Your Journey to Git

Redhill

<h3><b>Git and GitHub course description</b></h3>
      <p> This course covers version control using Git but also
using GUI frontends such as GitHub. The course starts
with a tour of using GitHub but then quickly moves onto
using git from the command line. All elements of git
version control are covered including creation of
repositories, adding and editing files, branches and
merging, rewriting history and handling merge conflicts.
Hands on sessions are used throughout the course.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
   <li>Install git.</li>
					<li>Add and edit files in a repository.</li>
					<li>Create branches and perform merges.</li>
     <li>Handle merge conflicts.</li>
                  </ul>
        <h5>
        <b>Git and GitHub course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Anyone requiring version control.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>None.</p>
              
							<li><b>Duration</b></li>
							
              <p>1 day
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Git and GitHub course contents</b></h3>
      <ul>
				<li>Introduction </li><p>
Version control for software, configuration management. Other uses. Version control systems. What is git? What is GitHub? Distributed version control. Comparison of git to other systems.

</p><li>GitHub </li><p>
Getting started, creating an account, account types, repositories, access control, bug tracking, feature requests. Alternatives to GitHub.
<br /><span>Hands on</span> Using GitHub.

</p><li>Installing git </li><p>
Linux install, Windows install, git config, levels, user.name, user.email.
<br /><span>Hands on</span> Installing and configuring git.

</p><li>Creating repositories </li><p>
git clone, github, git remote, git init.
<br /><span>Hands on</span> Creating a repository.

</p><li>Adding and editing files </li><p> Staging and adding, git add, git commit, git push, git pull, git status, git log. Two stage process. File states: Working, staging, history, untracked. git mv, git rm, .gitignore, git diff, git difftool. Undoing changes.
<br /><span>Hands on</span> Adding and editing files in git.

</p><li>Branching and merging </li><p>
What is a branch, HEAD label, master branch, git branch, git checkout. Feature branches, bux fix branches, integration branches, production branches, fast forward merges, 3 way merges, git merge, git status, git log, tags.
<br /><span>Hands on</span> Making branches, merging.

</p><li>Rewriting history </li><p> git reset, git rebase, advantages.
<br /><span>Hands on</span> Reset commits, rebase a branch.

</p><li>Merge conflicts </li><p>
What is a conflict, conflict resolution process, resolving merges, rebasing, git log, merge tools, configuring merge tools, avoiding conflicts.
<br /><span>Hands on</span> Merge resolution.</p>
      </ul>

Git and GitHub course description
 This course covers version control using Git but also
using GUI frontends such as GitHub. The course starts
with a tour of using GitHub but then quickly moves onto
using git from the command line. All elements of git
version control are covered including creation of
repositories, adding and editing files, branches and
merging, rewriting history and handling merge conflicts.
Hands on sessions are used throughout the course.
What will you learn
Install git.
Add and edit files in a repository.
Create branches and perform merges.
Handle merge conflicts.
Git and GitHub course details
Who will benefit:
Anyone requiring version control.
Prerequisites:
None.
Duration
1 day 
Git and GitHub course contents
Introduction

Version control for software, configuration management. Other uses. Version control systems. What is git? What is GitHub? Distributed version control. Comparison of git to other systems. 
GitHub

Getting started, creating an account, account types, repositories, access control, bug tracking, feature requests. Alternatives to GitHub.

Hands on Using GitHub. 
Installing git

Linux install, Windows install, git config, levels, user.name, user.email.

Hands on Installing and configuring git. 
Creating repositories

git clone, github, git remote, git init.

Hands on Creating a repository. 
Adding and editing files
 Staging and adding, git add, git commit, git push, git pull, git status, git log. Two stage process. File states: Working, staging, history, untracked. git mv, git rm, .gitignore, git diff, git difftool. Undoing changes.

Hands on Adding and editing files in git. 
Branching and merging

What is a branch, HEAD label, master branch, git branch, git checkout. Feature branches, bux fix branches, integration branches, production branches, fast forward merges, 3 way merges, git merge, git status, git log, tags.

Hands on Making branches, merging. 
Rewriting history
 git reset, git rebase, advantages.

Hands on Reset commits, rebase a branch. 
Merge conflicts

What is a conflict, conflict resolution process, resolving merges, rebasing, git log, merge tools, configuring merge tools, avoiding conflicts.

Hands on Merge resolution.

Systems & Network Training

Network & Security

Network Engineer

Git and GitHub for engineers

<strong>Master Azure DevOps and Git for seamless, efficient software delivery. This comprehensive course covers everything from basic project management concepts to advanced continuous delivery techniques in Azure DevOps, tailored for technical professionals.</strong>
        <p>Welcome to this extensive course designed for professionals seeking proficiency in Azure DevOps. It begins with foundational project management methodologies, contrasting Waterfall and Agile, and discussing the integration of Agile with DevOps. The course then transitions into practical applications, guiding users through setting up an Azure DevOps Project Space, managing organizations, projects, and teams.

As the course progresses, you'll dive deep into Azure DevOps Boards, learning about work item management, sprint planning, and board customization. The course meticulously covers Azure Repos, offering insights into source control management and Git operations. This is followed by a detailed exploration of Git branching and merging techniques.

The later sections are dedicated to Azure DevOps Pipelines, where you learn to create and manage build and release pipelines, and Azure DevOps Release Pipelines, focusing on automated and multi-stage deployments. The course also touches upon Azure Test Plans and Artifact Management, ensuring a well-rounded understanding of the entire Azure DevOps suite.

Throughout your journey, you will gain hands-on experience with continuous integration and deployment, enhancing your skills in modern DevOps practices and tools.</p>
        <h2>What You Will Learn</h2><p>Compare and contrast Waterfall and Agile methodologies.<br>Utilize Azure Boards for effective project tracking.<br>Implement various Git branching and merging methods.<br>Create and optimize Azure DevOps pipelines for CI/CD.<br>Configure and automate release pipelines for efficient software delivery.<br>Understand Azure Test Plans and Artifacts management.</p>
        <h2>Audience</h2><p>This course is ideal for developers who want to better understand code deployment with DevOps, system administrators and release engineers who want to streamline their software deployment tasks, and value stream leads, project managers, and product owners who want to better understand the CI/CD workflow.<br><br>This will also benefit anyone looking to get a better understanding of Azure DevOps and how it can be introduced into an organization.</p>
        <h2>Approach</h2><p>This course offers practical guidance for effective project management in agile environments. It focuses on managing project components in a unified space, providing context for every action and discussing alternatives. The course ensures clarity on the rationale behind various management decisions.</p>
        <h2>Key Features</h2><p>Explore Azure and DevOps fundamentals, including development tools. * Learn about Azure pipelines and Repos, and understand policies for repository management. * Master Azure Test Plans for bug tracking and Azure Artifacts for asset management in projects.</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Azure-DevOps-and-Continuous-Delivery-With-Git</p>
        <h2>About the Author</h2><h3>Trevoir Williams</h3><p>Trevoir Williams is a software engineer and part-time lecturer. With a master's degree in computer science, he has spent over a decade teaching web, software, and database development courses. He also has extensive industry experience in web application development, Azure Cloud system, and server administration. He enjoys teaching IT and development courses and hopes to impart knowledge of the latest developments in industry standards and techniques to his students.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p>This section will outline the key topics that will be covered and set out the learning objectives, providing you with a clear roadmap of what to expect and the knowledge you will gain throughout the course.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Overview of the course, outlining the key topics and learning objectives.</p></td></tr></tbody></table><br><h4>2. Project Management and DevOps Concepts</h4><p>This section of the course offers a comprehensive overview of project management methodologies, examining the differences between Waterfall and Agile, the interplay between Agile practices and DevOps, and how Azure DevOps complements GitHub for effective project management.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Waterfall vs Agile</p><p style='margin: 0'>Compares the Waterfall and Agile methodologies in project management.</p></td></tr><tr><td style='padding: 15px;'><p>2. Agile Development and DevOps</p><p style='margin: 0'>Explores the relationship between Agile development practices and DevOps.</p></td></tr><tr><td style='padding: 15px;'><p>3. Azure DevOps and GitHub</p><p style='margin: 0'>Discusses how Azure DevOps integrates with GitHub for streamlined project management.</p></td></tr></tbody></table><br><h4>3. Create Azure DevOps Project Space</h4><p>Section 3 of this course provides a comprehensive introduction to Azure DevOps, guiding learners through setting up an account, managing organizations and projects, and effectively handling project settings and teams for optimized project management.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>This video provides an introduction to Azure DevOps project spaces.</p></td></tr><tr><td style='padding: 15px;'><p>2. Create Azure DevOps Account</p><p style='margin: 0'>Step-by-step guide on setting up an Azure DevOps account will be provided in this lesson</p></td></tr><tr><td style='padding: 15px;'><p>3. Manage Organization</p><p style='margin: 0'>Learn the best practices for managing organizations within Azure DevOps in this session.</p></td></tr><tr><td style='padding: 15px;'><p>4. Manage Project</p><p style='margin: 0'>In this session we will focus on the techniques for effective project management in Azure DevOps.</p></td></tr><tr><td style='padding: 15px;'><p>5. Manage Project Settings and Teams</p><p style='margin: 0'>Learn how to configure project settings and manage teams in this session.</p></td></tr></tbody></table><br><h4>4. Azure DevOps Boards</h4><p>This section provides an in-depth exploration of project management within Azure Boards, covering topics such as sprint planning, customization for team needs, creation of custom team processes, effective use of queries and dashboards, and concludes with a comprehensive review of key learnings.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction To Boards and Work Items</p><p style='margin: 0'>This video provides an overview of Azure Boards and their role in project management.</p></td></tr><tr><td style='padding: 15px;'><p>2. Sprint Planning</p><p style='margin: 0'>Strategies for effective sprint planning using Azure DevOps will be covered in detail in this session.</p></td></tr><tr><td style='padding: 15px;'><p>3. Customize Boards For Your Team</p><p style='margin: 0'>Learn the process of personalizing Azure Boards for specific team needs in this lecture.</p></td></tr><tr><td style='padding: 15px;'><p>4. Creating Custom Team Processes</p><p style='margin: 0'>Building custom processes for team collaboration will be covered in this video.</p></td></tr><tr><td style='padding: 15px;'><p>5. Using Queries and Dashboards</p><p style='margin: 0'>Learn the process of leveraging queries and dashboards for project tracking.</p></td></tr><tr><td style='padding: 15px;'><p>6. Section Review</p><p style='margin: 0'>Summarizing key learnings from the Azure DevOps Boards section.</p></td></tr></tbody></table><br><h4>5. Azure DevOps Repos</h4><p>Explore the fundamentals of source control, learn about different systems, and dive into Azure Repos, covering everything from creating new repositories to implementing branch protection and utilizing pull requests.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What is Source Control?</p><p style='margin: 0'>Introduction to source control and its importance in software development.</p></td></tr><tr><td style='padding: 15px;'><p>2. Types of Source Control Management Systems</p><p style='margin: 0'>Overview of different source control systems.</p></td></tr><tr><td style='padding: 15px;'><p>3. Azure Repos Overview</p><p style='margin: 0'>An introduction to Azure Repos and its features.</p></td></tr><tr><td style='padding: 15px;'><p>4. Create New Repository</p><p style='margin: 0'>Steps to create a new repository in Azure Repos.</p></td></tr><tr><td style='padding: 15px;'><p>5. Clone an existing Repository with Visual Studio Code</p><p style='margin: 0'>How to clone a repo using VS Code.</p></td></tr><tr><td style='padding: 15px;'><p>6. Commit and Push using CLI</p><p style='margin: 0'>Using command line interface for commit and push operations.</p></td></tr><tr><td style='padding: 15px;'><p>7. Commit, Stage and Push using Visual Studio Code</p><p style='margin: 0'>Committing and pushing changes using VS Code.</p></td></tr><tr><td style='padding: 15px;'><p>8. Fetch and Pull Code Changes</p><p style='margin: 0'>Instructions on fetching and pulling code updates.</p></td></tr><tr><td style='padding: 15px;'><p>9. Why Protect a Branch?</p><p style='margin: 0'>Discussing the reasons for branch protection.</p></td></tr><tr><td style='padding: 15px;'><p>10. Implement Branch Protection Policies</p><p style='margin: 0'>Learn how to set up branch protection in Azure Repos in this video.</p></td></tr><tr><td style='padding: 15px;'><p>11. Using Pull Requests</p><p style='margin: 0'>This lecture is a guide on creating and using pull requests.</p></td></tr><tr><td style='padding: 15px;'><p>12. Working with Git tags</p><p style='margin: 0'>We will be exploring the use of Git tags in this video session.</p></td></tr><tr><td style='padding: 15px;'><p>13. Forking a Repo</p><p style='margin: 0'>This video demonstrates how to fork a repository.</p></td></tr><tr><td style='padding: 15px;'><p>14. Section Overview</p><p style='margin: 0'>Let's summarize the key topics covered in this section so far.</p></td></tr></tbody></table><br><h4>6. Git Branching and Merging Methods</h4><p>Delve into the intricacies of Git with insights on branching and merging methods, including explanations on Git merge versus rebase, setting up new branches, resolving merge conflicts, and performing various types of merges like squash commit and semi-linear merge. Conclude with a comprehensive review of Git branching and merging concepts.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Git Merge vs Git Rebase</p><p style='margin: 0'>Explaining the differences between merge and rebase in Git.</p></td></tr><tr><td style='padding: 15px;'><p>2. Setup New Branches</p><p style='margin: 0'>Demonstrating how to create new branches in Git.</p></td></tr><tr><td style='padding: 15px;'><p>3. Performing a Merge (no Fast Forward)</p><p style='margin: 0'>Instructions on performing a non-fast-forward merge.</p></td></tr><tr><td style='padding: 15px;'><p>4. Dealing with Merge Conflicts</p><p style='margin: 0'>Strategies for resolving merge conflicts in Git.</p></td></tr><tr><td style='padding: 15px;'><p>5. Performing a Squash Commit</p><p style='margin: 0'>Learn how to squash multiple commits into one.</p></td></tr><tr><td style='padding: 15px;'><p>6. Performing a Rebase</p><p style='margin: 0'>Step-by-step guide to rebasing in Git.</p></td></tr><tr><td style='padding: 15px;'><p>7. Performing a Semi-Linear Merge</p><p style='margin: 0'>Explaining the concept and process of a semi-linear merge.</p></td></tr><tr><td style='padding: 15px;'><p>8. Section Review</p><p style='margin: 0'>Reviewing and summarizing the concepts of Git branching and merging.</p></td></tr></tbody></table><br><h4>7. Azure DevOps Pipelines</h4><p>In this section, delve into the fundamentals of Azure DevOps Build Pipelines, mastering concepts, configurations, and both YAML and Classic Editor approaches.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Understanding Build and Releases Pipelines</p><p style='margin: 0'>This video introduces the concepts and functionalities of Azure's Build and Release Pipelines, essential for CI/CD processes.</p></td></tr><tr><td style='padding: 15px;'><p>2. Azure DevOps Pipelines Key Concepts</p><p style='margin: 0'>Learn the fundamental concepts underlying Azure DevOps Pipelines to effectively utilize them in your projects.</p></td></tr><tr><td style='padding: 15px;'><p>3. Azure DevOps Pipelines Overview</p><p style='margin: 0'>A comprehensive overview of Azure DevOps Pipelines, showcasing their role and implementation in software development.</p></td></tr><tr><td style='padding: 15px;'><p>4. Author YAML Azure Pipeline</p><p style='margin: 0'>Guides you through authoring Azure Pipelines using YAML, focusing on syntax and best practices.</p></td></tr><tr><td style='padding: 15px;'><p>5. Configure an Azure DevOps self-hosting agent</p><p style='margin: 0'>Learn to set up a self-hosting agent in Azure DevOps, a crucial step for custom pipeline configurations.</p></td></tr><tr><td style='padding: 15px;'><p>6. Build Pipeline using the Classic Editor</p><p style='margin: 0'>This video demonstrates building pipelines with Azure DevOps' Classic Editor, offering an alternative to YAML.</p></td></tr><tr><td style='padding: 15px;'><p>7. Enable Continuous Integration</p><p style='margin: 0'>Focuses on integrating continuous integration into your build pipeline, enhancing automation and efficiency.</p></td></tr><tr><td style='padding: 15px;'><p>8. Adding a build status badge</p><p style='margin: 0'>Explains how to add a build status badge to your repository, enhancing visibility and status tracking of your builds.</p></td></tr></tbody></table><br><h4>8. Azure DevOps Release Pipelines</h4><p>Explore the intricacies of Azure DevOps Release Pipelines, from initial setup and manual testing to the automation of build and release processes, multi-stage deployments, and key considerations.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Azure DevOps Release Pipelines Overview</p><p style='margin: 0'>An overview of Azure DevOps Release Pipelines, detailing their role in managing and automating software releases.</p></td></tr><tr><td style='padding: 15px;'><p>2. Setup Release Pipeline</p><p style='margin: 0'>This video provides a step-by-step guide on setting up a Release Pipeline in Azure DevOps, highlighting key configurations and processes.</p></td></tr><tr><td style='padding: 15px;'><p>3. Testing Manual Releases to Azure Web App</p><p style='margin: 0'>Learn how to manually test releases to an Azure Web App, a crucial skill for ensuring the reliability of deployments.</p></td></tr><tr><td style='padding: 15px;'><p>4. Automating Build and Release Pipeline</p><p style='margin: 0'>Covers the automation of build and release processes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Creating Multi-stage Deployments</p><p style='margin: 0'>Discusses the creation of multi-stage deployments in Azure DevOps.</p></td></tr><tr><td style='padding: 15px;'><p>6. Additional Features and Considerations</p><p style='margin: 0'>Explores additional features and important considerations in release pipelines.</p></td></tr></tbody></table><br><h4>9. Azure Test Plans and Artifact Management</h4><p>Uncover the power of Azure Test Plans for test management and Azure DevOps Artifacts for package management, discovering comprehensive insights for efficient software development.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Azure DevOps Test Plans</p><p style='margin: 0'>This video covers how to utilize Azure Test Plans in Azure DevOps, focusing on creating, managing, and executing test plans and test cases for software development projects.</p></td></tr><tr><td style='padding: 15px;'><p>2. Azure DevOps Artifacts</p><p style='margin: 0'>In this video, the focus is on Azure DevOps Artifacts, exploring how to manage, share, and store packages within Azure DevOps, and how to integrate them into the CI/CD pipeline.</p></td></tr></tbody></table><br><h4>10. Conclusion</h4><p>The final section provides a concise summary, emphasizing essential Azure DevOps practices, key takeaways, and guidance for continuous learning in Azure and DevOps realms.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Conclusion</p><p style='margin: 0'>This concluding video summarizes the course, highlighting key takeaways, best practices in Azure DevOps, and possibly providing guidance on next steps for continuous learning in Azure and DevOps environments.</p></td></tr></tbody></table>

Master Azure DevOps and Git for seamless, efficient software delivery. This comprehensive course covers everything from basic project management concepts to advanced continuous delivery techniques in Azure DevOps, tailored for technical professionals.
Welcome to this extensive course designed for professionals seeking proficiency in Azure DevOps. It begins with foundational project management methodologies, contrasting Waterfall and Agile, and discussing the integration of Agile with DevOps. The course then transitions into practical applications, guiding users through setting up an Azure DevOps Project Space, managing organizations, projects, and teams. As the course progresses, you'll dive deep into Azure DevOps Boards, learning about work item management, sprint planning, and board customization. The course meticulously covers Azure Repos, offering insights into source control management and Git operations. This is followed by a detailed exploration of Git branching and merging techniques. The later sections are dedicated to Azure DevOps Pipelines, where you learn to create and manage build and release pipelines, and Azure DevOps Release Pipelines, focusing on automated and multi-stage deployments. The course also touches upon Azure Test Plans and Artifact Management, ensuring a well-rounded understanding of the entire Azure DevOps suite. Throughout your journey, you will gain hands-on experience with continuous integration and deployment, enhancing your skills in modern DevOps practices and tools.
What You Will Learn
Compare and contrast Waterfall and Agile methodologies.
Utilize Azure Boards for effective project tracking.
Implement various Git branching and merging methods.
Create and optimize Azure DevOps pipelines for CI/CD.
Configure and automate release pipelines for efficient software delivery.
Understand Azure Test Plans and Artifacts management.
Audience
This course is ideal for developers who want to better understand code deployment with DevOps, system administrators and release engineers who want to streamline their software deployment tasks, and value stream leads, project managers, and product owners who want to better understand the CI/CD workflow.

This will also benefit anyone looking to get a better understanding of Azure DevOps and how it can be introduced into an organization.
Approach
This course offers practical guidance for effective project management in agile environments. It focuses on managing project components in a unified space, providing context for every action and discussing alternatives. The course ensures clarity on the rationale behind various management decisions.
Key Features
Explore Azure and DevOps fundamentals, including development tools. * Learn about Azure pipelines and Repos, and understand policies for repository management. * Master Azure Test Plans for bug tracking and Azure Artifacts for asset management in projects.
Github Repo
https://github.com/PacktPublishing/Azure-DevOps-and-Continuous-Delivery-With-Git
About the Author
Trevoir Williams
Trevoir Williams is a software engineer and part-time lecturer. With a master's degree in computer science, he has spent over a decade teaching web, software, and database development courses. He also has extensive industry experience in web application development, Azure Cloud system, and server administration. He enjoys teaching IT and development courses and hopes to impart knowledge of the latest developments in industry standards and techniques to his students.
Course Outline
1. Introduction
This section will outline the key topics that will be covered and set out the learning objectives, providing you with a clear roadmap of what to expect and the knowledge you will gain throughout the course.
1. Introduction
Overview of the course, outlining the key topics and learning objectives.
2. Project Management and DevOps Concepts
This section of the course offers a comprehensive overview of project management methodologies, examining the differences between Waterfall and Agile, the interplay between Agile practices and DevOps, and how Azure DevOps complements GitHub for effective project management.
1. Waterfall vs Agile
Compares the Waterfall and Agile methodologies in project management.
2. Agile Development and DevOps
Explores the relationship between Agile development practices and DevOps.
3. Azure DevOps and GitHub
Discusses how Azure DevOps integrates with GitHub for streamlined project management.
3. Create Azure DevOps Project Space
Section 3 of this course provides a comprehensive introduction to Azure DevOps, guiding learners through setting up an account, managing organizations and projects, and effectively handling project settings and teams for optimized project management.
1. Section Overview
This video provides an introduction to Azure DevOps project spaces.
2. Create Azure DevOps Account
Step-by-step guide on setting up an Azure DevOps account will be provided in this lesson
3. Manage Organization
Learn the best practices for managing organizations within Azure DevOps in this session.
4. Manage Project
In this session we will focus on the techniques for effective project management in Azure DevOps.
5. Manage Project Settings and Teams
Learn how to configure project settings and manage teams in this session.
4. Azure DevOps Boards
This section provides an in-depth exploration of project management within Azure Boards, covering topics such as sprint planning, customization for team needs, creation of custom team processes, effective use of queries and dashboards, and concludes with a comprehensive review of key learnings.
1. Introduction To Boards and Work Items
This video provides an overview of Azure Boards and their role in project management.
2. Sprint Planning
Strategies for effective sprint planning using Azure DevOps will be covered in detail in this session.
3. Customize Boards For Your Team
Learn the process of personalizing Azure Boards for specific team needs in this lecture.
4. Creating Custom Team Processes
Building custom processes for team collaboration will be covered in this video.
5. Using Queries and Dashboards
Learn the process of leveraging queries and dashboards for project tracking.
6. Section Review
Summarizing key learnings from the Azure DevOps Boards section.
5. Azure DevOps Repos
Explore the fundamentals of source control, learn about different systems, and dive into Azure Repos, covering everything from creating new repositories to implementing branch protection and utilizing pull requests.
1. What is Source Control?
Introduction to source control and its importance in software development.
2. Types of Source Control Management Systems
Overview of different source control systems.
3. Azure Repos Overview
An introduction to Azure Repos and its features.
4. Create New Repository
Steps to create a new repository in Azure Repos.
5. Clone an existing Repository with Visual Studio Code
How to clone a repo using VS Code.
6. Commit and Push using CLI
Using command line interface for commit and push operations.
7. Commit, Stage and Push using Visual Studio Code
Committing and pushing changes using VS Code.
8. Fetch and Pull Code Changes
Instructions on fetching and pulling code updates.
9. Why Protect a Branch?
Discussing the reasons for branch protection.
10. Implement Branch Protection Policies
Learn how to set up branch protection in Azure Repos in this video.
11. Using Pull Requests
This lecture is a guide on creating and using pull requests.
12. Working with Git tags
We will be exploring the use of Git tags in this video session.
13. Forking a Repo
This video demonstrates how to fork a repository.
14. Section Overview
Let's summarize the key topics covered in this section so far.
6. Git Branching and Merging Methods
Delve into the intricacies of Git with insights on branching and merging methods, including explanations on Git merge versus rebase, setting up new branches, resolving merge conflicts, and performing various types of merges like squash commit and semi-linear merge. Conclude with a comprehensive review of Git branching and merging concepts.
1. Git Merge vs Git Rebase
Explaining the differences between merge and rebase in Git.
2. Setup New Branches
Demonstrating how to create new branches in Git.
3. Performing a Merge (no Fast Forward)
Instructions on performing a non-fast-forward merge.
4. Dealing with Merge Conflicts
Strategies for resolving merge conflicts in Git.
5. Performing a Squash Commit
Learn how to squash multiple commits into one.
6. Performing a Rebase
Step-by-step guide to rebasing in Git.
7. Performing a Semi-Linear Merge
Explaining the concept and process of a semi-linear merge.
8. Section Review
Reviewing and summarizing the concepts of Git branching and merging.
7. Azure DevOps Pipelines
In this section, delve into the fundamentals of Azure DevOps Build Pipelines, mastering concepts, configurations, and both YAML and Classic Editor approaches.
1. Understanding Build and Releases Pipelines
This video introduces the concepts and functionalities of Azure's Build and Release Pipelines, essential for CI/CD processes.
2. Azure DevOps Pipelines Key Concepts
Learn the fundamental concepts underlying Azure DevOps Pipelines to effectively utilize them in your projects.
3. Azure DevOps Pipelines Overview
A comprehensive overview of Azure DevOps Pipelines, showcasing their role and implementation in software development.
4. Author YAML Azure Pipeline
Guides you through authoring Azure Pipelines using YAML, focusing on syntax and best practices.
5. Configure an Azure DevOps self-hosting agent
Learn to set up a self-hosting agent in Azure DevOps, a crucial step for custom pipeline configurations.
6. Build Pipeline using the Classic Editor
This video demonstrates building pipelines with Azure DevOps' Classic Editor, offering an alternative to YAML.
7. Enable Continuous Integration
Focuses on integrating continuous integration into your build pipeline, enhancing automation and efficiency.
8. Adding a build status badge
Explains how to add a build status badge to your repository, enhancing visibility and status tracking of your builds.
8. Azure DevOps Release Pipelines
Explore the intricacies of Azure DevOps Release Pipelines, from initial setup and manual testing to the automation of build and release processes, multi-stage deployments, and key considerations.
1. Azure DevOps Release Pipelines Overview
An overview of Azure DevOps Release Pipelines, detailing their role in managing and automating software releases.
2. Setup Release Pipeline
This video provides a step-by-step guide on setting up a Release Pipeline in Azure DevOps, highlighting key configurations and processes.
3. Testing Manual Releases to Azure Web App
Learn how to manually test releases to an Azure Web App, a crucial skill for ensuring the reliability of deployments.
4. Automating Build and Release Pipeline
Covers the automation of build and release processes.
5. Creating Multi-stage Deployments
Discusses the creation of multi-stage deployments in Azure DevOps.
6. Additional Features and Considerations
Explores additional features and important considerations in release pipelines.
9. Azure Test Plans and Artifact Management
Uncover the power of Azure Test Plans for test management and Azure DevOps Artifacts for package management, discovering comprehensive insights for efficient software development.
1. Azure DevOps Test Plans
This video covers how to utilize Azure Test Plans in Azure DevOps, focusing on creating, managing, and executing test plans and test cases for software development projects.
2. Azure DevOps Artifacts
In this video, the focus is on Azure DevOps Artifacts, exploring how to manage, share, and store packages within Azure DevOps, and how to integrate them into the CI/CD pipeline.
10. Conclusion
The final section provides a concise summary, emphasizing essential Azure DevOps practices, key takeaways, and guidance for continuous learning in Azure and DevOps realms.
1. Conclusion
This concluding video summarizes the course, highlighting key takeaways, best practices in Azure DevOps, and possibly providing guidance on next steps for continuous learning in Azure and DevOps environments.

CI/CD

ASP.NET

Master Azure DevOps and Git for seamless, efficient software delivery. This comprehensive course covers everything from basic project management concepts to advanced continuous delivery techniques in Azure DevOps, tailored for technical professionals.

Azure DevOps and Continuous Delivery with Git

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This course is designed for developers who want to learn about Git and GitHub.</p>Overview<p>Upon completion of this course, participants will be able to:<br />? Install and run Git<br />? Describe basic concepts of Git version control<br />? Work on multiple branches<br />? Optimize merging and fixing merge conflicts<br />? Create and manage GitHub repositories<br />? Collaborate using GitHub</p><p>This hands-on course teaches participants how to integrate Git and GitHub into their daily command-line workflow. Git operations, customizations of Git functionality, and how to connect to Git via Eclipse are covered as well.</p></div><div id="course-pills-2"><h4>Introduction</h4><ul><li>Introduction to Version Control Systems</li><li>The Birth of Git and Why Git?</li><li>What is GitHub?</li><li>GitHub Repository Concepts</li></ul><h4>Getting Started With Git</h4><ul><li>Installing and Running Git</li><li>The Git command Line</li><li>Configuration Files</li><li>Creating your First Git Repository</li><li>Staging Area</li><li>Git Commit</li><li>Viewing History</li><li>Creating Aliases and Shortcuts</li><li>Hands-on Lab Session</li></ul><h4>Getting Started with GitHub</h4><ul><li>Creating and Configuring a Repository in GitHub</li><li>Uploading your Repository to GitHub</li><li>Understand Repository?s Main Page</li><li>Using the README</li><li>Hands-on Lab Session</li></ul><h4>File Management in Git Locally</h4><ul><li>The Index</li><li>File Classifications in Git</li><li>Rename a File</li><li>Delete a File</li><li>Ignore Files using .gitignore File</li><li>Hands-on Lab Session</li></ul><h4>Collaboration on Pull Requests</h4><ul><li>Cloning and Forking Repositories</li><li>Creating a Pull Request</li><li>Collaborating a Pull Request</li><li>Merging on a Pull Request</li><li>Working with Branches</li><li>Hands-on Lab Session</li></ul><h4>Integrating GitHub with Eclipse</h4><ul><li>Introducing EGit Plugin</li><li>Configuring GitHub in Eclipse</li><li>Working with Eclipse</li><li>Hands-on Lab Session</li></ul><h4>Reviewing and Configuring a Project on GitHub</h4><ul><li>Configuring a Repository</li><li>Adding Collaborators</li><li>Creating Organizations</li><li>Managing Teams</li><li>Introducing Issues</li></ul><h4>Merging, Rebasing and Resolving Conflicts</h4><ul><li>Merging Branches</li><li>Git diff and Commit Ranges</li><li>Working with Merge Conflicts</li><li>Merge Strategies</li><li>Introduction to Rebasing</li><li>Rebasing Branches</li><li>Reverting and Fixing Bad Commits</li><li>Hands-on Lab Session</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Learning Git and GitHub training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Learning Git and GitHub course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Duration
2 Days
12 CPD hours
This course is intended for
This course is designed for developers who want to learn about Git and GitHub.
Overview
Upon completion of this course, participants will be able to:
? Install and run Git
? Describe basic concepts of Git version control
? Work on multiple branches
? Optimize merging and fixing merge conflicts
? Create and manage GitHub repositories
? Collaborate using GitHub
This hands-on course teaches participants how to integrate Git and GitHub into their daily command-line workflow. Git operations, customizations of Git functionality, and how to connect to Git via Eclipse are covered as well.
Introduction
Introduction to Version Control Systems
The Birth of Git and Why Git?
What is GitHub?
GitHub Repository Concepts
Getting Started With Git
Installing and Running Git
The Git command Line
Configuration Files
Creating your First Git Repository
Staging Area
Git Commit
Viewing History
Creating Aliases and Shortcuts
Hands-on Lab Session
Getting Started with GitHub
Creating and Configuring a Repository in GitHub
Uploading your Repository to GitHub
Understand Repository?s Main Page
Using the README
Hands-on Lab Session
File Management in Git Locally
The Index
File Classifications in Git
Rename a File
Delete a File
Ignore Files using .gitignore File
Hands-on Lab Session
Collaboration on Pull Requests
Cloning and Forking Repositories
Creating a Pull Request
Collaborating a Pull Request
Merging on a Pull Request
Working with Branches
Hands-on Lab Session
Integrating GitHub with Eclipse
Introducing EGit Plugin
Configuring GitHub in Eclipse
Working with Eclipse
Hands-on Lab Session
Reviewing and Configuring a Project on GitHub
Configuring a Repository
Adding Collaborators
Creating Organizations
Managing Teams
Introducing Issues
Merging, Rebasing and Resolving Conflicts
Merging Branches
Git diff and Commit Ranges
Working with Merge Conflicts
Merge Strategies
Introduction to Rebasing
Rebasing Branches
Reverting and Fixing Bad Commits
Hands-on Lab Session
Additional course details:
Nexus Humans Learning Git and GitHub training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. 

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the Learning Git and GitHub course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.


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