GitHub Copilot Beginner to Pro - AI for Coding & Development

About this course

This course has been completely updated for 2026 and receives monthly updates - last update published September 2026.

Welcome to the GitHub Copilot course! In this course, you will learn how to use GitHub Copilot from the fundamentals through to modern Agentic AI coding workflows. We'll cover GitHub Copilot Chat, Ask mode, Plan mode, Agent mode, custom agents, Agent Skills, agent instructions, Model Context Protocol (MCP), GitHub Copilot CLI, testing, refactoring, security, and much more.

Whether you're an experienced developer or just getting started, this course will show you what each major GitHub Copilot feature does, when to use it, why you would use it, and how it fits into a modern AI-assisted development workflow.

The highlights of this course include:

• GitHub Copilot ChatAsk mode, Plan mode, and Agent mode
• Local, Copilot, and Cloud agent workflows
• Parallel agents and subagents
• Custom agents
• Agent instructions and Agent SkillsModel Context Protocol (MCP)GitHub Copilot CLICustom prompts and slash commands
• Providing context to GitHub CopilotGenerating unit tests and commit messages
• Refactoring and debugging code
• Detecting potential security concerns
• Safety and security considerations when using AI coding agents
• And much more!

We build 2 projects in this course. The first project is a real-world practical project called "Bucks2Bar", a simple web application using html, javascript, and css, that allows users to input income and expenses for each month of the year, plot it to a bar chart, then download that chart as an image. The entirety of this project code will be generated using GitHub Copilot and will allow us to cover a wide range of Github Copilot features.

The second project will move onto more advanced concepts, where

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