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Master GitHub Copilot

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

Updated this week

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LEARNING OBJECTIVES

Explore the role of GitHub Copilot as an AI coding partner in modern software development.
Install and authenticate GitHub Copilot in Visual Studio Code for inline code completions.
Utilize Copilot Chat to interact with the AI for coding tasks and debugging.
Apply the five-part prompt engineering framework to enhance AI-generated code quality.
Generate unit tests in Python and JavaScript using GitHub Copilot to improve code reliability.
Implement AI-assisted code reviews and manage pull request workflows with GitHub Copilot.

KEY OUTCOMES

Accelerate Development with AI

Use GitHub Copilot to speed up coding tasks, enhancing productivity and code quality in real-world projects.

Design Effective Prompts

Craft precise prompts for GitHub Copilot, leading to better code generation and improved collaboration with AI.

Conduct Thorough Code Reviews

Leverage AI assistance in code reviews to identify bugs and provide constructive feedback, fostering team growth.

Implement Robust Testing Strategies

Generate comprehensive unit tests with GitHub Copilot, ensuring code quality and reliability in production environments.

Learning Roadmap

9 Lessons7 Quizzes1 Challenge

Interacting with Copilot Intelligently

Enhance coding skills with GitHub Copilot as a collaborative AI assistant.

Introduction to GitHub Copilot

Getting Started with Copilot

Enhance coding efficiency with GitHub Copilot’s AI-driven suggestions and interactive features.

Setup and Inline Code Completions

Copilot Chat Fundamentals

Prompt Engineering Deep Dive

Applying Copilot in Development Tasks

4 Lessons

Enhance your coding skills with testing, debugging, AI reviews, and Git workflows.

Conclusion

Master responsible usage of GitHub Copilot for effective coding practices.

Responsible Usage and Best Practices

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

ABOUT THIS COURSE

GitHub Copilot is redefining how modern software is written, shifting developers from manual coding to AI-assisted development where code is generated, reviewed, and refined in real time. As engineering teams move faster and systems grow more complex, knowing how to effectively use GitHub Copilot is becoming a core productivity skill, not just an advantage. I built this course from my work in intelligent systems and developer tooling, where integrating AI into real development workflows is often the hardest step. A consistent pattern I observed was that developers treated Copilot as autocomplete, rather than a collaborative partner. The difference in outcomes was significant. This course is designed to help you use GitHub Copilot deliberately, guiding it with structured prompts and workflows. You’ll learn GitHub Copilot through hands-on integration in your IDE and CLI, covering inline completions, Copilot Chat, prompt design, unit test generation, debugging, and refactoring. You’ll also explore how Copilot fits into Git workflows, code reviews, and pull request management in real projects. Developers are already using GitHub Copilot to accelerate delivery and improve code quality. If you want to code with AI effectively, this is where you start.

ABOUT THE AUTHOR

Khayyam Hashmi

Computer scientist and Generative AI and Machine Learning specialist. VP of Technical Content @ educative.io.

Learn more about Khayyam

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