Learn GitHub Copilot foundations through hands-on lessons: explore AI-assisted coding, Copilot chat, prompt engineering, code reviews, testing, and debugging to incorporate AI into your workflows.
4.5
9 Lessons
4h
Updated 2 months ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- An understanding of core GitHub Copilot workflows—setup, inline completions, Copilot chat, prompt engineering, writing tests, debugging, code reviews, Git workflows, CLI productivity, and responsible AI use
- Hands-on experience using GitHub Copilot to write, debug, test, and review code efficiently across IDE, CLI, and GitHub workflows
- The ability to build a working portfolio that showcases real-world AI-assisted coding and problem-solving using GitHub Copilot
Learning Roadmap
2.
Getting Started with Copilot
Getting Started with Copilot
Enhance coding efficiency with GitHub Copilot’s AI-driven suggestions and interactive features.
3.
Applying Copilot in Development Tasks
Applying Copilot in Development Tasks
4 Lessons
4 Lessons
Enhance your coding skills with testing, debugging, AI reviews, and Git workflows.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
This course introduces GitHub Copilot as a powerful AI coding assistant that integrates directly into your development environment. This is radically different from traditional coding, as GitHub Copilot actively participates in writing, reviewing, and improving your code.
Starting with the initial setup in your IDE and CLI, you’ll get to Copilot’s inline code completions and Copilot chat features. Then you’ll dive into writing prompts that guide Copilot effectively, generating unit tests, debugging code, and refactoring using Copilot suggestions. You’ll learn everything about Copilot workflows, including code reviews, Git, pull request management, and productivity tools in building a modern project.
By the end, you’ll develop a solid understanding of GitHub Copilot’s capabilities and gain confidence in applying AI to write and manage code efficiently. This journey prepares you to tackle advanced Copilot features and larger, team-based projects while following best practices for AI-assisted development.
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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