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
View Full Course Review

Course AI Assistant Beta

Hi! I can help you find the perfect online course. Ask me something like “best Python course for beginners” or “compare data science courses”.