Learn GitHub Copilot by Example is a hands-on, example-driven course that teaches you practical workflows, real-world code patterns, and productivity techniques to accelerate your development with GitHub Copilot. This introduction also serves as an SEO-friendly meta summary for quick previews.
 
Course Overview
This course teaches Copilot through concise, focused examples so you learn by doing. You’ll begin by understanding how Copilot generates suggestions and how to guide those suggestions effectively and safely. Then, you’ll explore practical techniques for integrating Copilot into your daily workflow in VS Code and other supported environments.
Throughout the course, you will build a series of mini-projects that demonstrate Copilot’s ability to assist with testing, refactoring, documentation, debugging, and repetitive tasks. By the end, you’ll have the skills to use Copilot confidently and intentionally—not passively.
 
What You’ll Learn
How Copilot analyzes context and generates code completions
Prompting techniques to produce safer, more relevant suggestions
Using Copilot for unit testing, refactoring, documentation, and debugging
Integrating Copilot into VS Code, GitHub Codespaces, JetBrains IDEs, and CLI workflows
Best practices for reviewing, editing, and securing AI-generated code
Real mini-projects illustrating Copilot’s features in action
 
Course Content & Structure
The course is organized into short, code-first modules. Each module includes:
Bite-sized videos
Downloadable code examples
Guided hands-on exercises
Knowledge checks and quizzes
 
A final capstone mini-project ties everything together, demonstrating how Copilot supports coding, testing, and documentation in one cohesive workflow. Each lesson also includes suggested reading and sample repositories for additional practice.
 
Requirements
Basic knowledge of at least one programming language (JavaScript, Python, or TypeScript recommended)
A GitHub account to try Copilot features
A code editor such as Visual Studio Code with extension support
Curiosity and a willingness to critically review generated code
 
Learning Outcomes
By the end of this course, you will:
Use Copilot confidently to accelerate routine development tasks
Write cleaner code and stronger tests with AI-assisted workflows
Adapt prompts to control output quality and reduce errors
Apply safety checks and code reviews to AI-generated suggestions
Become a more productive, thoughtful developer who leverages Copilot intelligently