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GitHub Copilot Masterclass: AI-Powered Development
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Rating: 5.0 out of 5(1 rating)
401 students

GitHub Copilot Masterclass: AI-Powered Development

Master GitHub Copilot for code completion, AI chat, testing, debugging, and enterprise configuration with Github Copilot
Created byHaider Taqveen
Last updated 9/2026
English
English [Auto],

What you'll learn

  • Install, configure, and troubleshoot GitHub Copilot in your IDE
  • Use Copilot for code completion and customize suggestions to your style
  • Master Copilot Chat, slash commands, and CLI for faster coding
  • Write test suites, identify edge cases, and generate test assertions with AI
  • Modernize legacy code and debug more efficiently using AI assistance
  • Configure enterprise policies, knowledge bases, and content exclusions

Course content

9 sections • 33 lectures • 3h 11m total length

  • Introduction to GitHub Copilot5:08
  • Installation and Configuration of GitHub Copilot in Your IDE5:18
  • Techniques for Troubleshooting GitHub Copilot7:06
  • An Overview of the GitHub Copilot Interface6:46

Requirements

  • Basic understanding of programming concepts and at least one programming language
  • A code editor or IDE installed (such as VS Code) and a GitHub account

Description

GitHub Copilot is transforming the way developers write code — and if you're not using it effectively, you're leaving productivity on the table. This comprehensive course takes you from your first installation to advanced, real-world workflows that top engineering teams use every day.


In this course, you'll learn how to:

  • Install, configure, and troubleshoot GitHub Copilot in your IDE

  • Use code completion and customize suggestions to your workflow

  • Master GitHub Copilot Chat, slash commands, and chat history

  • Use the GitHub Copilot CLI to run commands from your terminal

  • Accelerate learning, translate code, and reduce context switching with AI

  • Generate documentation, sample data, and test data using AI

  • Modernize legacy applications and debug more efficiently

  • Build test suites — including edge cases, boilerplate, and assertions

  • Apply AI to security testing and performance optimization

  • Configure enterprise features like business policies, knowledge bases, and content exclusions


By the end of this course, you'll be able to:

  • Write code faster with AI-powered completions

  • Use Copilot Chat and CLI confidently in real projects

  • Build reliable test suites with AI assistance

  • Debug and modernize code more efficiently

  • Set up and manage Copilot for individual or enterprise use

Whether you're an individual developer looking to code faster, or part of a team rolling out Copilot at scale, this course gives you the hands-on skills and confidence to use GitHub Copilot to its fullest potential.

No prior AI experience required — just a willingness to code smarter, not harder.

Who this course is for:

  • Developers who want to code faster and more efficiently using AI assistance
  • Beginners looking to get started with GitHub Copilot from installation to advanced use
  • Software engineers who want to improve their testing, debugging, and documentation workflows
  • Development teams and organizations planning to roll out GitHub Copilot at scale
  • Engineers working with legacy codebases who want to modernize and refactor with AI
  • QA engineers and testers interested in using AI to write test suites and assertions
  • Tech leads and DevOps professionals responsible for configuring Copilot policies and security settings
  • Anyone curious about integrating AI into their daily development workflow

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