GitHub Copilot for Developers: Code Faster With AI Agents (Udemy.com)

GitHub Copilot is no longer just an AI autocomplete tool. It is an AI-powered engineering assistant capable of generating features, refactoring systems, writing tests, reviewing security issues, and orchestrating complex workflows using agents.

Most developers use only 10–20% of its capabilities.

This course is designed to help you use GitHub Copilot properly, from understanding how it works to building structured AI workflows using instruction files, custom agents, and agent skills.

This is not a theory-heavy AI course. It is a practical, developer-first mastery program focused on real coding workflows.

What You Will Learn

You will learn how to:

• Generate production-ready code using structured prompts

• Fix bugs, refactor legacy code, and improve readability

• Automatically generate meaningful unit tests

• Improve performance and detect potential security issues

• Use Agent, Ask, Plan, and Edit modes effectively

• Create powerful instruction files to control AI behaviour

• Build and manage custom AI agents

• Design workflows using Local, Background, and Cloud agents

• Understand MCP (Model Context Protocol) and modern AI tooling

• Integrate AI deeply into your development lifecycle

The course has been divided into 3 Phases,

Phase 1: Foundations / How AI Coding Actually Works
Before using AI effectively, you must understand how it thinks.

In this phase, you will learn:

• What prompts are really (User vs System prompts)

• Context and context windows

• Tokens and how they affect output quality

• Models and how to choose the right one

• LLM vs SLM differences

• How tools like Copilot, Cursor, Claude Code, Codex, and others differ

This phase gives you the mental model required to control AI instead of randomly guessing prompts.

Phase 2: Practical Copilot Usage
Here we move into real development workflows.

You will learn:

• Proper Copilot setup and configuration

• Inline suggestions vs chat-based workflows

• Using the chat window effectively

• Understanding and using Agent, Ask, Plan, and Edit modes

• Managing sessions and checkpoints

• Using the built-in browser

• Bring Your Own Key configuration

This phase focuses on practical usage so you can immediately apply Copilot in daily development.

Phase 3: Advanced Agentic Development
This is where the course goes beyond basic Copilot tutorials.

You will learn how to structure AI behaviour using:

• Instruction files (copilot-instructions and custom instructions)

• Prompt files for reusable AI workflows

• Custom agents tailored to your project needs

• Agent skills for specialised tasks

• Local agents vs background agents vs cloud agents

• Git integration and smart actions

• MCP (Model Context Protocol) for advanced integrations

• AI code security best practices

By the end of this phase, you will understand how to design a complete AI-powered engineering workflow rather than just asking Copilot random questions.

If you can write code, this course will show you how to build faster, refactor smarter, and ship confidently using AI. The goal of this course is simple: To help you move from “using Copilot” to engineering with AI.