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Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Mechanical Engineering Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Mechanical Engineering Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Mechanical Engineering Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Mechanical Engineering Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Mechanical Engineering? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Mechanical Engineering there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Mechanical Engineering course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Mechanical Engineering does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Mechanical Engineering was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Mechanical Engineering is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Module 01: Introduction Introduction 00:08:00 Module 02: Engineering Mechanics - I Engineering Mechanics - I 00:07:00 Module 03: Engineering Mechanics - II Engineering Mechanics - II 00:07:00 Module 04: Heat and Thermodynamics Heat and Thermodynamics 00:12:00 Module 05: Work, Force and Energy Work, Energy and Force 00:10:00 Module 06: Fluid Mechanics Fluid Mechanics 00:08:00 Module 07: Structural Mechanics Structural Mechanics 00:08:00 Module 08: Machines - I Machine - I 00:08:00 Module 09: Machines - II Machine - II 00:09:00 Module 10: Machine Dynamics Machine Dynamics 00:10:00 Module 11: Mechanical Design Mechanical Design 00:11:00 Module 12: Hydraulic Machines Hydraulic Machines 00:21:00 Module 13: Strain Hardening Processes Strain Hardening Processes 00:10:00 Module 14: Application of Solidification Application of Solidification 00:05:00 Module 15: Welding Welding in Mechanical Engineering 00:13:00 Module 16: Engineering Drawing Engineering Drawing 00:14:00 Assignment Assignment - Mechanical Engineering 00:00:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Mechanical Engineering Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Mechanical Engineering Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Mechanical Engineering Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Mechanical Engineering Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Mechanical Engineering? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Mechanical Engineering there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Mechanical Engineering course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Mechanical Engineering does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Mechanical Engineering was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Mechanical Engineering is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Module 01: Introduction Introduction 00:08:00 Module 02: Engineering Mechanics - I Engineering Mechanics - I 00:07:00 Module 03: Engineering Mechanics - II Engineering Mechanics - II 00:07:00 Module 04: Heat and Thermodynamics Heat and Thermodynamics 00:12:00 Module 05: Work, Force and Energy Work, Energy and Force 00:10:00 Module 06: Fluid Mechanics Fluid Mechanics 00:08:00 Module 07: Structural Mechanics Structural Mechanics 00:08:00 Module 08: Machines - I Machine - I 00:08:00 Module 09: Machines - II Machine - II 00:09:00 Module 10: Machine Dynamics Machine Dynamics 00:10:00 Module 11: Mechanical Design Mechanical Design 00:11:00 Module 12: Hydraulic Machines Hydraulic Machines 00:21:00 Module 13: Strain Hardening Processes Strain Hardening Processes 00:10:00 Module 14: Application of Solidification Application of Solidification 00:05:00 Module 15: Welding Welding 00:13:00 Module 16: Engineering Drawing Engineering Drawing 00:14:00 Assignment Assignment - Mechanical Engineering 00:00:00

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Introduction Introduction 00:08:00 Point Lines & Angles 00:13:00 Intersecting & Parallel Lines Triangles 00:11:00 Triangles 00:21:00 The Pythagorean Theorem 00:09:00 Unique Triangles & Ratios 00:13:00 Trig Functions & Tangents 00:33:00 The Unit Circle 00:01:00 Trig Identities 00:42:00 Product to Sum Formulas 00:23:00 Double & Half Angle Formulas 00:31:00 Trig Functions in the Time Domain 00:16:00 Final Assessment Assessment - Trigonometry For Electrical Engineering Professionals 00:10:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Introduction to Autocad Introduction To Electrical Design Drawing 00:04:00 Introduction To Autocad 00:02:00 Free Activation for Students 00:04:00 Starting Autocad and Changing Background 00:02:00 Drawing a Line in Autocad 00:04:00 Drawing a Rectangle in Autocad 00:04:00 Drawing a Circle in Autocad 00:01:00 Drawing a Polygon in Autocad 00:03:00 Drawing an Arc in Autocad 00:01:00 Drawing a PolyLine in Autocad 00:03:00 Multiple Lines Using the Offset Feature 00:03:00 Adding Text to Autocad 00:03:00 Extending Lines in Autocad 00:01:00 Selection in Autocad 00:04:00 F-shortcuts in Autocad 00:01:00 Dimensions in Autocad 00:04:00 Multi Spiral Line and MLD in Autocad 00:02:00 Block and Explode Commands In Autocad 00:02:00 Move and Scale Commands in Autocad 00:01:00 Rotate, Mirror and Fillet Commands in Autocad 00:02:00 Area Calculation and Adding Layer in Autocad 00:03:00 Saving your File and Autosave Feature 00:07:00 Drawing Fluorescent Symbol Using Autocad 00:06:00 Autocad Classic Mode and Workspace 00:03:00 Complete Electrical Design Drawing Of Distribution System Introduction to Dialux 00:02:00 Types of Electrical Drawings 00:02:00 Different Lighting Situations 00:05:00 Understanding Different Lighting Schemes 00:02:00 Properties of Good Lighting Scheme 00:01:00 Important Definitions For Lighting 00:09:00 Utilization and Maintanence Factor 00:03:00 Important Notes when Designing 00:06:00 Steps of Project Design 00:04:00 Manual Calculation of Lighting 00:06:00 Understanding Catalogs and Photometric data 00:05:00 Dialux Interior Design Task Part 1 00:32:00 Dialux Interior Design Task Part 2 00:22:00 Dialux Interior Design Task Part 3 00:25:00 Wiring Of Luminaries And Switches Using Autocad 00:39:00 Types of Sockets 00:02:00 Panel Schedule For Lighting And Power Circuits 00:31:00 Adding And Wiring Of Sockets 00:40:00 Circuit Breakers And Cable Selection 00:36:00 Single Line Diagram For Industrial Area And Riser Of The Residential Building 00:22:00 Voltage Drop And Short Circuit Analysis Voltage Drop In Low Voltage Distribution System And Manual Calculations 00:20:00 Short Circuit In Low Voltage Distribution System And Manual Calculations 00:32:00 Earthing System Design Effect Of Current On Human Body 00:09:00 Types Of Electric Hazards 00:08:00 Classification Of Earthing Systems 00:23:00 Components Of Earthing System 00:09:00 Generator Sizing Sizing Of Electrical Generator For Power Engineering 00:51:00 Extra Free Lessons and Courses for Being One of Our Big Family UPS Or Uninterruptible Power Supply Function, Types And Specs 00:32:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

This course will help you explore the world of Big Data technologies and frameworks. You will develop skills that will help you to pick the right Big Data technology and framework for your job and build the confidence to design robust Big Data pipelines.

Gain n-depth knowledge about Docker technology and the confidence to help your company or your own project to apply the right Docker deployment workflow. Learn all about Docker, Docker REST API, and Docker continuous integration to build Docker images.

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Looking to build an AI application from scratch? Look no further than this compact course with ChatGPT! Using the OpenAI API and the latest web development technologies, including React, Next.js, JavaScript, Node, and CSS, you will gain hands-on experience building an AI-powered application that generates pet names for users.

Embark on a digital crafting odyssey, diving into the intricate world of web creation with our 'PHP Web Development with MySQL; GitHub & Heroku' course. Visualise your first step into this digital tapestry with the 'Introduction' unit, an inviting prelude that demystifies the realm of server-side scripting. As learners unfurl the sails of their developmental journey, they'll configure their coding environment, laying the robust groundwork for a future in web architecture. Advancing into the heart of PHP, our syllabus navigates through the crucial syntax and fundamentals that form the bedrock of dynamic website construction. Engage with the creation of interactive forms, delve into database manipulation using MySQL, and master user authentication processes. This course promises a transformative learning expedition, from first principles to deploying live web applications, all while ensuring each participant garners the confidence to stitch together the seams of secure, responsive online experiences. Learning Outcomes Comprehend PHP fundamentals and create robust web applications. Configure environments for PHP development with precision. Integrate MySQL databases for dynamic content management. Construct and handle secure PHP forms for data collection. Implement user authentication to safeguard web applications. Why choose this PHP Web Development with MySQL; GitHub & Heroku course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this PHP Web Development with MySQL; GitHub & Heroku course for? Novices embarking on web development careers. Technologists eager to learn server-side scripting. Data managers focusing on MySQL database integration. Coders looking to understand PHP in web applications. Developers aiming to utilise GitHub and Heroku for deployment. Career path Web Developer: £25,000 - £50,000 PHP Developer: £24,000 - £45,000 MySQL Database Administrator: £30,000 - £60,000 User Authentication Specialist: £35,000 - £55,000 Back-End Developer: £28,000 - £53,000 DevOps Engineer: £40,000 - £70,000 Prerequisites This PHP Web Development with MySQL; GitHub & Heroku does not require you to have any prior qualifications or experience. You can just enrol and start learning.This PHP Web Development with MySQL; GitHub & Heroku was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Introduction Introduction 00:06:00 Unit 02: Environment Configuration Module 01: Setup a PHP Environment using XAMPP 00:16:00 Module 02: Install Composer Package Manager 00:03:00 Module 03: Visual Studio Code - Web Development Add ons 00:12:00 Module 04: Create a GitHub Account 00:13:00 Module 05: Create a Heroku Account 00:08:00 Unit 03: PHP Basics and Syntax Module 01: How PHP Works 00:29:00 Module 02: IFELSE Statements 00:19:00 Module 03: Switch Statements 00:09:00 Module 04: FOR Loop 00:10:00 Module 05: WHILE AND DOWHILE Loops 00:14:00 Module 06: PHP Arrays and Manipulation 00:13:00 Module 07: String Manipulation Functions 00:28:00 Module 08: Date and Time Manipulation Functions 00:15:00 Module 09: User Defined Functions 00:22:00 Module 10: PHP Include and Require 00:22:00 Module 11: PHP Website Layout - With Bootstrap 00:23:00 Module 12: Add Project to Github 00:08:00 Module 13: Publish Website to Heroku 00:20:00 Unit 04: PHP Forms and MySQL and User Authentication Module 01: Project and Website Setup 00:21:00 Module 02: Create a Bootstrap 4 Form 00:28:00 Module 03: PHP Form - $_GET Action 00:23:00 Module 04: PHP Form - $_POST Action 00:11:00 Module 05: Design Database with phpMyAdmin 00:19:00 Module 06: Connect to Database using PHP PDO 00:18:00 Module 07: Save Records to Database 00:38:00 Module 08: View Database Records 00:36:00 Module 09: View One Record's Details 00:28:00 Module 10: Update Database Records 00:34:00 Module 11: Delete Database Records 00:11:00 Module 12: Final Touches: Form Validation, Error Messages, Success Messages 00:17:00 Module 13: Create Heroku App and Remote Database 00:21:00 Module 14: Setup Authentication Tables in Database 00:20:00 Module 15: Setup Login and Authentication 00:29:00 Module 16: Control User Access 00:08:00 Module 17: Sending Confirmation Emails 00:31:00 Module 18: Upload Profile Pictures 00:31:00 Module 19: Final Touches 00:14:00 Resources Resources - PHP Web Development w/ MySQL GitHub & Heroku 00:00:00 Assignment Assignment - PHP Web Development with MySQL; GitHub & Heroku 00:00:00