AIFLX

Library / Artificial Intelligence

GitHub Copilot for Developers: Code Faster With AI Agents

On Udemy

About this course

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 oneLLM vs SLM differences

Ready to start? Continue on Udemy to enroll.

Start learning on Udemy (opens in a new tab)

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.