GitHub Copilot (AI Coding Assistant) – Complete Guide [2024] Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This comprehensive course provides a hands-on guide to mastering GitHub Copilot through practical, real-world coding workflows. Designed for developers with foundational programming knowledge, it covers setup, in-editor usage, CLI and chat interactions, advanced project implementation, and multi-file editing with testing. With approximately 4.5 hours of focused content, learners gain proficiency in accelerating development across full-stack scenarios using AI-powered assistance.
Module 1: Setup & Foundations
Estimated time: 0.5 hours
- Set up GitHub Copilot in VS Code and JetBrains IDEs
- Configure Copilot subscription and access
- Explore core features: autocomplete, suggestions, and multi-file editing
- Understand the role of AI in modern coding workflows
Module 2: In‑Editor Workflow
Estimated time: 0.75 hours
- Use four interaction modes in VS Code for coding and debugging
- Generate HTML, CSS, and JavaScript boilerplate efficiently
- Write Python and Java code using real-time Copilot suggestions
- Explain existing codebases using AI-powered insights
Module 3: CLI & Copilot Chat
Estimated time: 0.75 hours
- Run GitHub Copilot via command-line interface (CLI)
- Generate code directly from terminal commands
- Use Copilot Chat to debug and navigate code contextually
Module 4: Advanced Projects
Estimated time: 1.25 hours
- Build a password strength checker using AI-generated logic
- Develop a Spring Boot application with Copilot assistance
- Create an Express.js backend with automated routing
- Implement data visualization components using JavaScript libraries
Module 5: Multi‑file Edits & Tests
Estimated time: 1 hour
- Perform multi-file refactoring across projects
- Generate unit tests for JavaScript, Python, and Java code
- Automate documentation and commit message writing
Module 6: Final Project
Estimated time: 1 hour
- Deliverable 1: Full-stack app integrating Express and data visualization
- Deliverable 2: AI-optimized codebase with tests and documentation
- Deliverable 3: Refactored multi-file project using Copilot Chat and suggestions
Prerequisites
- Familiarity with at least one programming language (JavaScript, Python, Java, or .NET)
- Basic understanding of command-line interface (CLI)
- Experience with code editors like VS Code or JetBrains IDEs
What You'll Be Able to Do After
- Use GitHub Copilot CLI, chat, IDE, and multi-file editing to accelerate coding workflows
- Generate, document, test, and explain code across multiple languages
- Integrate Copilot into VS Code and JetBrains for real-time assistance
- Build real-world applications like Spring Boot, Express, and data visualizations
- Apply effective prompting and chat workflows for refactoring and QA