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Unleash Your Cybersecurity Prowess: CompTIA PenTest+ (Ethical Hacking) Course Embark on a thrilling journey into the realm of ethical hacking with our dynamic 'CompTIA PenTest+' course. This program is your gateway to mastering the art of cybersecurity, where you'll not only learn the ropes but also unravel the intricacies of planning, scoping, and executing penetration tests. The adventure begins with an insightful 'Introduction' that sets the stage for the captivating exploration of surveying targets, selecting attack vectors, and employing cutting-edge pen testing tools. As you delve into the intricacies of ethical hacking, each section unfolds like a cyber espionage thriller, providing you with the skills to safeguard digital landscapes. Learning Outcomes Master the foundational principles of ethical hacking. Develop proficiency in planning and scoping penetration tests. Acquire the art of surveying and selecting potential targets. Navigate diverse attack vectors with strategic prowess. Utilize a comprehensive toolkit of pen testing tools effectively. Why choose this CompTIA PenTest+ (Ethical Hacking) 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 CompTIA PenTest+ (Ethical Hacking) course for? Tech enthusiasts eager to dive into the world of ethical hacking. Cybersecurity enthusiasts seeking hands-on penetration testing skills. IT professionals aiming to enhance their cybersecurity expertise. Students pursuing a career in ethical hacking or penetration testing. Anyone fascinated by the dynamic landscape of cybersecurity. Career path Ethical Hacker: £40,000 - £60,000 Penetration Tester: £45,000 - £70,000 Cybersecurity Analyst: £35,000 - £50,000 Security Consultant: £50,000 - £80,000 Information Security Manager: £60,000 - £90,000 Chief Information Security Officer (CISO): £80,000 - £120,000 Prerequisites This CompTIA PenTest+ (Ethical Hacking) course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This CompTIA PenTest+ (Ethical Hacking) course 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 Section 01: Introduction Introduction 00:09:00 Section 02: Planning and Scoping Planning a Pen Test 00:09:00 Rules of Engagement 00:11:00 Resources and Budget 00:07:00 Impact and Constraints 00:05:00 Support Resources 00:13:00 Legal Groundwork 00:12:00 Scope Considerations 00:11:00 Lab Environment Setup 00:23:00 Project Strategy and Risk 00:09:00 Scope Vulnerabilities 00:14:00 Compliance-Based Assessments 00:05:00 Section 03: Surveying the Target Scanning and Enumeration 00:05:00 Scanning Demo 00:11:00 Packet Investigation 00:08:00 Packet Inspection Demo 00:06:00 Application and Open-Source Resources 00:12:00 Vulnerability Scanning 00:10:00 Vulnerability Scanning Demo 00:17:00 Target Considerations 00:16:00 Nmap Timing and Performance Options 00:07:00 Prioritization of Vulnerabilities 00:09:00 Common Attack Techniques 00:12:00 Credential Attacks 00:15:00 Weaknesses in Specialized Systems 00:18:00 Section 04: Select Your Attack Vector Remote Social Engineering 00:07:00 Spear Phishing Demo 00:10:00 In-Person Social Engineering 00:12:00 Network-Based Exploits 00:07:00 FTP Exploit Demo 00:08:00 Man-in-the-middle Exploits 00:07:00 Wireless Exploits 00:14:00 Application Exploits, Part 1 00:06:00 SQL Injection Demo 00:09:00 Application Exploits, Part 2 00:08:00 Application Exploits, Part 3 00:09:00 Cross-Site Scripting Demo 00:07:00 Code Vulnerabilities 00:17:00 Local Host Vulnerabilities 00:05:00 Privilege Escalation (Linux) 00:10:00 Privilege Escalation (Windows) 00:06:00 Misc. Privilege Escalation 00:08:00 Misc. Local Host Vulnerabilities 00:08:00 Physical Security 00:10:00 Post-Exploitation Techniques 00:11:00 Persistence and Stealth 00:11:00 Section 05: Selecting Pen Testing Tools Nmap Scoping & Output Options 00:21:00 Pen Testing Toolbox 00:07:00 Using Kali Linux 00:06:00 Scanners & Credential Tools 00:10:00 Code-Cracking Tools 00:05:00 Open-Source Research Tools 00:07:00 Wireless and Web Pen Testing Tools 00:11:00 Remote Access Tools 00:06:00 Analyzers and Mobile Pen Testing Tools 00:03:00 Other Pen Testing Tools 00:05:00 Using Scripting in Pen Testing 00:13:00 Bash Scripting Basics 00:15:00 Bash Scripting Techniques 00:10:00 PowerShell Scripts 00:04:00 Ruby Scripts 00:07:00 Python Scripts 00:06:00 Scripting Languages Comparison 00:11:00 Section 06: Reporting and Communication Writing Reports 00:16:00 Post-Report Activities 00:06:00 Mitigation Strategies 00:05:00 Communication 00:10:00 Assignment Assignment - CompTIA PenTest 00:00:00

Tired of browsing and searching for a Data Analysis and Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed. After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Data Analysis and Data Science bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Data Analysis and Data Science course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries on Data Analysis and Data Science and help you along your learning journey. Advanced audio-visual learning modules of these Data Analysis and Data Science courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. Furthermore, to help you showcase your expertise in Data Analysis and Data Science, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Data Analysis and Data Science Bundle Consists of the following Premium courses: Course 01: Introduction to Data Analysis Course 02: Python for Data Analysis Course 03: Statistical Analysis Course 04: SQL NoSQL Big Data and Hadoop Course 05: Complete Microsoft Power BI 2021 Course 06: Data Analysis in Excel Level 3 Course Course 07: Data Analytics with Tableau Course 08: Basic Google Data Studio Course 09: Business Analytics Course 10: Complete Introduction to Business Data Analysis Level 3 Course 11: Business Intelligence and Data Mining Masterclass Course 12: Research Methods in Business Course 13: Computer Science: Graph Theory Algorithms Course 14: Data Protection and Data Security Level 2 Enrol now in Data Analysis and Data Science to advance your career, and use the premium study materials from Apex Learning. How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analysis and Data Science expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Introduction to Data Analysis Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding Course 02: Python for Data Analysis Welcome, Course Introduction & overview, and Environment set-up Python Essentials Python for Data Analysis using NumPy Python for Data Analysis using Pandas Python for Data Visualization using matplotlib Python for Data Visualization using Seaborn Python for Data Visualization using pandas Python for interactive & geographical plotting using Plotly and Cufflinks Capstone Project - Python for Data Analysis & Visualization Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Python for Machine Learning - scikit-learn - Logistic Regression Model Python for Machine Learning - scikit-learn - K Nearest Neighbors Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Python for Machine Learning - scikit-learn - K Means Clustering Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Recommender Systems with Python - (Additional Topic) Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 03: Statistical Analysis Module 01: The Realm of Statistics Module 02: Basic Statistical Terms Module 03: The Center of the Data Module 04: Data Variability Module 05: Binomial and Normal Distributions Module 06: Introduction to Probability Module 07: Estimates and Intervals Module 08: Hypothesis Testing Module 09: Regression Analysis Module 10: Algorithms, Analytics and Predictions Module 11: Learning From Experience: The Bayesian Way Module 12: Doing Statistics: The Wrong Way Module 13: How We Can Do Statistics Better Course 04: SQL NoSQL Big Data and Hadoop Module 01: Introduction Module 02: Relational Database Systems Module 03: Database Classification Module 04: Key-Value Store Module 05: Document-Oriented Databases Module 06: Search Engines Module 07: Wide Column Store Module 08: Time Series Databases Module 09: Graph Databases Module 10: Hadoop Platform Module 11: Big Data SQL Engines Module 12: Distributed Commit Log Module 13: Summary Course 05: Complete Microsoft Power BI 2021 Module 01: Introduction Module 02: Preparing our Project Module 03: Data Transformation - The Query Editor Module 04: Data Transformation - Advanced Module 05: Creating a Data Model Module 06: Data Visualization Module 07: Power BI & Python Module 08: Storytelling with Data Module 09: DAX - The Essentials Module 10: DAX - The CALCULATE function Module 11: Power BI Service - Power BI Cloud Module 12: Row-Level Security Module 13: More data sources Module 14: Next steps to improve & stay up to date Course 06: Data Analysis in Excel Level 3 Course Modifying a Worksheet Working with Lists Analyzing Data Visualizing Data with Charts Using PivotTables and PivotCharts Working with Multiple Worksheets and Workbooks Using Lookup Functions and Formula Auditing Automating Workbook Functionality Creating Sparklines and Mapping Data Forecasting Data Course 07: Data Analytics with Tableau Module 01: Introduction to the Course Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Module 03: Project 2: Green Destinations (HR Analytics) Module 04: Project 3: Superstore (Sales Agent Tracker) Module 05: Northwind Trade (Shipping Analytics) Module 06: Project 5: Tesla (Stock Price Analytics) Module 07: Bonus: Introduction to Database Concepts Module 08: Tableau Stories Course 08: Basic Google Data Studio Module 01: Introduction to GDS Module 02: Data Visualization Module 03: Geo-visualization Module 04: A Socio-Economic Case Study Course 09: Business Analytics Module 01: What is business analysis? Module 02: Strategy analysis Module 03: Collaboration Module 04: Requirements analysis and Design definition Module 05: Requirements lifecycle management Module 06: Solution quality Module 07: Stakeholder management Module 08: BA Governance Module 09: Legal notes and Copyright information Course 10: Complete Introduction to Business Data Analysis Level 3 Module 1: Statistics Fundamentals Module 2: Data Analysis Module 3: Probability Module 4: Random Variables and Discrete Distributions Module 5: Continuous Distributions Module 6: Sampling Distributions Module 7: Confidence Interval Module 8: Hypothesis Testing with One Sample Module 9: Hypothesis Testing with Two Samples Module 10: The Chi-Square Distribution Module 11: F Distribution and One-Way ANOVA Module 12: Correlation analysis Module 13: Simple Linear Regression Analysis Course 11: Business Intelligence and Data Mining Masterclass Module 01: What is Business Intelligence? Module 02: Starting Case in understanding BI needs in diff phase of business Module 03: Decision Making Process and Need of IT systems Module 04: Problem Structure and Decision Support System Module 05: Introduction to BI Applications Module 06: Dashboard presentation systems Module 07: Different Types of Charts used in 131 Dashboards Module 08: Good Dashboard and BSC Module 09: Examples of Bad Dashboards 1 Module 10: Examples of Bad Dashboards 2 And much more... Course 12: Research Methods in Business Section 01: Applied Project & Research Methods in Business Section 02: Writing a Purpose / Quantitative and Qualitative Research Approaches Section 03: Mixed Method Research Approaches, Ethical Considerations & Writing Effectively Written Methodology Part 3 !@@ Section 04: Writing Data Collection Tools, Qualitative & Quantitative Data Analysis Section 05: Comparing Findings to Literature and Writing the Final Paper Course 13: Computer Science: Graph Theory Algorithms Module 00: Promo Module 01: Introduction Module 02: Common Problem Module 03: Depth First Search Module 04: Breadth First Search Module 05: Breadth First Search Shortest Path on a Grid And much more... Course 14: Data Protection and Data Security Level 2 GDPR Basics GDPR Explained Lawful Basis for Preparation Rights and Breaches Responsibilities and Obligations CPD 165 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Data Analysis and Data Science bundle. Requirements Our Data Analysis and Data Science course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. Career path Having this Data Analysis and Data Science expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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.

Duration 3 Days 18 CPD hours This course is intended for The ideal audience for the RPA and UiPath Boot Camp is beginners in the field of RPA and individuals in roles such as developers, project managers, operation analysts, and tech enthusiasts looking to familiarize themselves with automation technologies. It's also perfectly suited for business professionals keen on understanding and implementing automated solutions within their organizations to optimize processes. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Automation Learning expert instructor, students will explore: Gain a thorough understanding of Robotic Process Automation (RPA) and its applications using UiPath, setting a solid foundation for future learning and application. Learn to record and play in UiPath Studio, a key skill that enables automating complex tasks in a user-friendly environment. Master the art of designing and controlling workflows using Sequencing, Flowcharting, and Control Flow, helping to streamline and manage automation processes effectively. Acquire practical skills in data manipulation, from variable management to CSV/Excel and data table conversions, empowering you to handle data-rich tasks with confidence. Develop competence in managing controls and exploring various plugins and extensions, providing a broader toolkit for handling diverse automation projects. Get hands-on experience with exception handling, debugging, logging, code management, and bot deployment, fundamental skills that ensure your automated processes are reliable and efficient. How to deploy and control Bots with UiPath Orchestrator The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. What is Robotic Process Automation? Scope and techniques of automation Robotic process automation About UiPath The future of automation Record and Play UiPath stack Downloading and installing UiPath Studio Learning UiPath Studio Task recorder Step-by-step examples using the recorder Sequence, Flowchart, and Control Flow Sequencing the workflow Activities Control flow, various types of loops, and decision making Step-by-step example using Sequence and Flowchart Step-by-step example using Sequence and Control flow Data Manipulation Variables and scope Collections Arguments ? Purpose and use Data table usage with examples Clipboard management File operation with step-by-step example CSV/Excel to data table and vice versa (with a step-by-step example) Taking Control of the Controls Finding and attaching windows Finding the control Techniques for waiting for a control Act on controls ? mouse and keyboard activities Working with UiExplorer Handling events Revisit recorder Screen Scraping When to use OCR Types of OCR available How to use OCR Avoiding typical failure points Tame that Application with Plugins and Extensions Terminal plugin SAP automation Java plugin Citrix automation Mail plugin PDF plugin Web integration Excel and Word plugins Credential management Extensions ? Java, Chrome, Firefox, and Silverlight Handling User Events and Assistant Bots What are assistant bots? Monitoring system event triggers Monitoring image and element triggers Launching an assistant bot on a keyboard event Exception Handling, Debugging, and Logging Exception handling Common exceptions and ways to handle them Logging and taking screenshots Debugging techniques Collecting crash dumps Error reporting Managing and Maintaining the Code Project organization Nesting workflows Reusability of workflows Commenting techniques State Machine When to use Flowcharts, State Machines, or Sequences Using config files and examples of a config file Integrating a TFS server Deploying and Maintaining the Bot Publishing using publish utility Overview of Orchestration Server Using Orchestration Server to control bots Using Orchestration Server to deploy bots License management Publishing and managing updates

Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? 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 Data Science & Machine Learning with R from A-Z 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 Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z 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 Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00

This course focuses on understanding all the basic theory and programming skills required as a data scientist, featuring 35+ practical case studies covering common business problems faced by them. This course seeks to fill all those gaps in knowledge that scare off beginners and simultaneously apply your knowledge of data science and deep learning to real-world business problems.

Register on the CompTIA PenTest+ (Ethical Hacking) today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get an e-certificate as proof of your course completion. The CompTIA PenTest+ (Ethical Hacking) is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The CompTIA PenTest+ (Ethical Hacking) Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the CompTIA PenTest+ (Ethical Hacking), all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.  Course Content Section 01: Introduction Introduction 00:09:00 Section 02: Planning And Scoping Planning a Pen Test 00:09:00 Rules of Engagement 00:11:00 Resources and Budget 00:07:00 Impact and Constraints 00:05:00 Support Resources 00:13:00 Legal Groundwork 00:12:00 Scope Considerations 00:11:00 Lab Environment Setup 00:23:00 Project Strategy and Risk 00:09:00 Scope Vulnerabilities 00:14:00 Compliance-Based Assessments 00:05:00 Section 03: Surveying The Target Scanning and Enumeration 00:05:00 Scanning Demo 00:11:00 Packet Investigation 00:08:00 Packet Inspection Demo 00:06:00 Application and Open-Source Resources 00:12:00 Vulnerability Scanning 00:09:00 Vulnerability Scanning Demo 00:17:00 Target Considerations 00:16:00 Nmap Timing and Performance Options 00:07:00 Prioritization of Vulnerabilities 00:09:00 Common Attack Techniques 00:12:00 Credential Attacks 00:15:00 Weaknesses in Specialized Systems 00:18:00 Section 04: Select Your Attack Vector Remote Social Engineering 00:07:00 Spear Phishing Demo 00:10:00 In-Person Social Engineering 00:12:00 Network-Based Exploits 00:07:00 FTP Exploit Demo 00:08:00 Man-in-the-middle Exploits 00:07:00 Wireless Exploits 00:14:00 Application Exploits, Part 1 00:06:00 SQL Injection Demo 00:09:00 Application Exploits, Part 2 00:08:00 Application Exploits, Part 3 00:09:00 Code Vulnerabilities 00:17:00 Local Host Vulnerabilities 00:05:00 Privilege Escalation (Linux) 00:10:00 Privilege Escalation (Windows) 00:06:00 Misc. Privilege Escalation 00:08:00 Misc. Local Host Vulnerabilities 00:08:00 Physical Security 00:11:00 Post-Exploitation Techniques 00:11:00 Persistence and Stealth 00:11:00 Section 05: Selecting Pen Testing Tools Nmap Scoping & Output Options 00:21:00 Pen Testing Toolbox 00:07:00 Using Kali Linux 00:06:00 Scanners & Credential Tools 00:10:00 Code-Cracking Tools 00:05:00 Open-Source Research Tools 00:07:00 Wireless and Web Pen Testing Tools 00:11:00 Remote Access Tools 00:06:00 Analyzers and Mobile Pen Testing Tools 00:03:00 Other Pen Testing Tools 00:05:00 Using Scripting in Pen Testing 00:13:00 Bash Scripting Basics 00:15:00 Bash Scripting Techniques 00:10:00 PowerShell Scripts 00:04:00 Ruby Scripts 00:07:00 Python Scripts 00:07:00 Scripting Languages Comparison 00:11:00 Section 06: Reporting And Communication Writing Reports 00:16:00 Post-Report Activities 00:06:00 Mitigation Strategies 00:05:00 Communication 00:10:00 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.

Duration 5 Days 30 CPD hours This course is intended for Ideal candidates are IT Professionals who deploy small-to-medium scale enterprise network solutions based on Aruba products and technologies. Overview After you successfully complete this course, expect to be able to: Explain Networking Fundamentals Describe and review the Aruba Switching portfolio with customers Install and configure devices running the ArubaOS-CX Network Operating System Describe and configure VLANs Explain, describe and configure Spanning Tree Protocol Understand when to use VRRP and how to configure it Explain and configure Link Aggregation Understand and configure IP Routing Explain IP Subnetting Understand and configure OSPFv2 - Single Area Describe and configure Switch Stacking using VSF Configuration of Aruba solutions using Secure Management and Maintenance methodologies Manage, monitor, administer and operate Aruba solutions using Aruba's NetEdit tool This course teaches you the fundamental skills necessary to configure and manage modern, open standards-based networking solutions using Aruba's OS-CX routing and switching technologies. This course consists of approximately 60% lecture and 40% hands-on lab exercises to help you learn how to implement and validate small to medium enterprise network solutions. This 5-day course prepares candidates for the Aruba Certified Switching Associate exam.In this course, participants learn about ArubaOS-CX switch technologies including multi-layer switches. You will also learn about broadcast domains and Virtual Local Area Networks (VLANs); secure management protocols such as AAA, SSH, HTTPS, and Dynamic Segmentation using Aruba's Role-Based Access Control (RBAC); availability technologies such as Multiple Spanning Tree Protocol (MSTP); link aggregation techniques including Link Aggregation Control Protocol (LACP) and switch virtualization with Aruba?s Virtual Switching Framework (VSF). Static and dynamic IP routing protocols such as Open Shortest Path First (OSPF) are also covered. Network Fundamentals What is a network? What is a Protocol? OSI Reference Model Encapsulation, frames, packets, segments Layer 2 to Layer 7 headers Media, cabling, Ethernet/wifi headers Binary/Hex/Decimal theory and conversion TCP/IP Stack (IP addressing & Transport Protocols TCP/UDP) Types of traffic: Unicast, Broadcast, Multicast TCP/IP Stack Overview Ethernet frames IPv4 Header TCP Header ? Three-way Handshake TCP Header ? Sequence Numbers TCP Header ? Port Numbers TCP Header UPD Header Basic Networking with Aruba Solutions Networking devices: Switches, Routers, Multilayer Switches, APs, Mobility Controllers, Firewalls, Servers (HTTP, DHCP, DNS, Telnet, FTP) 2-Tier vs 3-Tier hierarchy Switching Portfolio (AOS switches & AOS-CX switches) is this introducing both portfolio on a couple of slide and few slides on AOS-CX hardware architecture, software architecture and intro to NAE high level. Introduction to AOS-CX and feature set Port numbering Accessing Aruba OS-CX CLI Prompt modes/levels and navigation Context sensitive help Show logs, configuration, interfaces, transceivers, flash, version Hostname/interface name, enabling interfaces Link Layer Discovery Protocol ICMP and reachability testing tools: Ping and Traceroute PoE (standards one slide and what we support and one or two slide on configuration and verifications.) VLANs Broadcast/collision domains VLAN benefits VLAN creation DHCP server configuration in switches (optional) 802.1Q tagging Switchports vs. Routed ports MAC address table ARP table Packet Delivery part 1 Spanning Tree Protocol Redundant network L2 loops 802.1D Common Spanning Tree 802.1s 802.1w overview 802.1w load balancing 802.1w region configuration Link Aggregation Static Aggregation LACP Load Balancing IP Routing - Part 1 Default Gateway DHCP IP Helper Address IP Routing Service Inter-VLAN routing Packet Delivery Part 2 Need for layer 3 redundancy Introduction to VRF VRRP VRRP overview VRRP basic operation VRRP failover and preempt VRRP and MSTP coordination IP Routing - Part 2 Subnetting CIDR Static routes Administrative Distance Floating routes Scalability issues IP Routing - Part 3 IGP vs EGP Distance Vector vs Link State OSPF Router-ID and Hello Messages Passive interfaces States DR and BDR LSDB: LSA 1 and 2 Path selection and convergence Using cost to manipulate routes Stacking Control Plane, Management Plane, and Data Plane Introduction to Stacking technologies Stacking Benefits Centralized control and management plane Distributed Data Plane and Distributed Link Aggregation VSF VSF requirements VSF Link and member roles VSF member IDs and port numbers VSF Configuration VSF Provisioning use cases Tracing Layer 2 traffic: Unicast Tracing Layer 2 traffic: Broadcast, Multicast, and Unknown Unicast VSF Failover and OSFP Graceful-Restart VSF Link failure without MAD MAD VSX Introduction Secure Management and Maintenance OOBM port Management VRF Secure Management Protocols: AAA, SSH, HTTPS, RBAC Radius-based management auth (VSA) SNMP Web interface Configuration file management (Backup, restore, checkpoint and roll back) Operating System image management (backup and restore) Factory default/password recovery AOS-CX Management tools Intro to NetEdit NetEdit installation Basic monitoring with NetEdit AOS-CX Mobile App Additional course details: Nexus Humans Aruba OS-CX Switching Fundamentals, Rev. 20.21 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 Aruba OS-CX Switching Fundamentals, Rev. 20.21 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.

Logic Pro X Instrument Plugins & VSTs Training Course Overview Are you looking to begin your logic instruments career or want to develop more advanced skills in logic instruments? Then this logic pro X instrument plugins & VSTs online training course will set you up with a solid foundation to become a confident musician and help you to develop your expertise in logic instruments. This logic pro X instrument plugins & VSTs online training course is accredited by the CPD UK & IPHM. CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this logic pro X instrument plugins & VSTs online training course will set you up with a solid foundation to become a confident musician and develop more advanced skills. Gain the essential skills and knowledge you need to propel your career forward as a musician. The logic pro X instrument plugins & VSTs online training course will set you up with the appropriate skills and experience needed for the job and is ideal for both beginners and those currently working as a musician. This comprehensive logic pro X instrument plugins & VSTs online training course is the perfect way to kickstart your career in the field of logic instruments. This logic pro X instrument plugins & VSTs online training course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. If you're interested in working as a musician or want to learn more skills on logic instruments but unsure of where to start, then this logic pro X instrument plugins & VSTs online training course will set you up with a solid foundation to become a confident musician and develop more advanced skills. As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This logic pro X instrument plugins & VSTs online training course is crafted by industry expert, to enable you to learn quickly and efficiently, and at your own pace and convenience. Who should take this course? This comprehensive logic pro X instrument plugins & VSTs online training course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of logic instruments. Entry Requirement There are no academic entry requirements for this logic pro X instrument plugins & VSTs online training course, and it is open to students of all academic backgrounds. As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol. Career path This logic pro X instrument plugins & VSTs online training course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your new skills to your CV, enhance your career and become more competitive in your chosen industry. Course Curriculum Introduction & Necessary Bits Introduction Resources What is an 'Instrument' in Logic Pro X Quick Help Functionality With Instruments Setting up Controller Assignments Option Click Quick Wins with logic Pro Instruments Copy and Adapt Any Commercial Sound into Your Own Instrument Create Endless Drum Groove Variations Create Waveforms From Your Voice in Retro Synth Modulate Anything in Any Instrument Turn Drums into Chords Introduction to Synthesis & Sound Production Introduction to Synthesis: Oscillation Introduction to Synthesis: Filters Introduction to Synthesis: Envelopes Introduction to Synthesis: Modulation Introduction to Synthesis: Advanced Concepts logic Pro Synthesizers ESM - Monophonic Bass Synth ESE - Polyphonic Synth ESP Assignment: ESP Sound Building ES1 - Part 1 ES1 - Part 2 EFM - Frequency Modulation Synthesizer Retro Synth - Part 1: Analog Page Retro Synth - Part 2: Sync, Table & FM Pages ES2 Part 1: Oscillators ES2 Part 2: Filter & Effects ES2 Part 3: Modulation & Envelopes ES2 Part 4: Vector Envelope, XY Pad, Global & Macro EXS24 Sampler Part 1: Introduction EXS24 Sampler Part 2: Parameters Window EXS24 Sampler Part 3: Importing & Zones EXS24 Sampler Part 4: Groups EXS24 Sampler Part 5: Multiple Samples & Multiple Outputs EVOC PS - Vocoder Synth Alchemy Course Introduction Browse and Simple View Advanced View Filters, Sends and Voices Modulation MSEG - Multistage Envelope Generator Sequencer Mod Map Arpeggiator Effects Library Management Should You Go Further With Alchemy Advance Alchemy Sampling Preparing Your Own Samples Sampling Basics Additive Granular Spectral Formant Sculpture Introduction to Sculpture Objects and Material Modulation in Sculpture Envelopes MIDI Controllers, Morph and Envelope Recording logic Pro Vintage Modelled Instruments Vintage Electric Piano Vintage Clavinet Vintage B3 Hammond Organ Part 1: Main Window Vintage B3 Hammond Organ Part 2: Rotor Cabinet Vintage B3 Hammond Organ Part 3: Options Vintage B3 Hammond Organ Part 4: Effects & Expert View logic Pro X Drums Drum Kits vs Drummers Drummer Drum Kit Designer Drum Machine Designer Ultrabeat Part 1: Overview & Assignments Panel Ultrabeat Part 2: Synthesizer Window Ultrabeat Part 3: Oscillator Types Ultrabeat Part 4: Modulation Ultrabeat Part 5: Sequencer Build A Sound Introduction Understanding 'Archetypal' Sounds: Envelopes Understanding 'Archetypal' Sounds: Waveforms The Design Process Recognised Accreditation CPD Certification Service 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. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Certificate of Achievement Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

This course covers the basic concepts of machine learning (ML) that are crucial for getting started on the journey of becoming a skilled ML developer. You will become familiar with different algorithms and networks, such as supervised, unsupervised, neural networks, Convolutional Neural Network (CNN), and Super-Resolution Convolutional Neural Network (SRCNN), needed to develop effective ML solutions.