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GitHub Copilot: Hands-on AI Coding with Real-World Examples

Master GitHub Copilot: AI Coding, Debug, Review, Automate, Build with Agents, MCP, Skills, Hooks, Prompts, Cloud Agent

  • 0.0 (0 Reviews)
  • 0 Students
  • 63 Lessons
  • Nagendra C

Course Overview

Master GitHub Copilot and Transform the Way You Code

Are you spending too much time writing repetitive code, debugging issues, creating tests, or searching for solutions? GitHub Copilot can help you code faster, work smarter, and automate everyday development tasks.


What Does This Course Teach?

This is a hands-on, real-world GitHub Copilot course that takes you from the fundamentals to advanced AI-assisted development. You’ll learn how to use Copilot effectively in VS Code and IntelliJ, write better prompts, understand context, and leverage advanced capabilities such as Agents, MCP, Skills, Hooks, Custom Instructions, and Cloud Agent.

Hands-On Learning.


What Will You Be Able to Do?

By the end of the course, you’ll be able to:


  • Write and improve code faster using GitHub Copilot.

  • Create effective prompts and provide the right context for better results.

  • Debug, refactor, explain, and improve existing code with AI.

  • Generate unit tests, documentation, and other development tasks.

  • Create and use custom instructions, agents, skills, and hooks.

  • Use MCP to extend Copilot with additional capabilities and tools.

  • Work with GitHub Copilot Cloud Agent for more autonomous development tasks.

  • Build and enhance Java and Spring Boot applications using AI assistance.

Real-World Applications

Throughout the course, you’ll apply GitHub Copilot to real software development scenarios, including:


  • Build Java & Spring Boot applications faster — generate classes, REST APIs, database integration, and application logic while focusing on business requirements.

  • Debug real application problems — use Copilot to understand errors, identify root causes, and implement fixes instead of spending hours searching for solutions.

  • Write better tests — generate and improve JUnit test cases and use JaCoCo reports to identify gaps in test coverage.

  • Refactor and improve existing code — understand unfamiliar code, simplify complex logic, improve code quality, and reduce technical debt.

  • Automate documentation — generate JavaDoc, code explanations, and project documentation with less manual effort.

  • Create effective AI-powered development workflows — use prompts, context, custom instructions, agents, skills, and hooks to make Copilot work according to your development needs.

  • Extend Copilot with MCP — connect Copilot to tools and data sources so it can perform tasks beyond basic code generation.

  • Create specialized AI agents — configure agents for specific development tasks and workflows instead of repeatedly providing the same instructions and context.

  • Automate agent workflows with Hooks and Skills — add validation, automation, specialized instructions, and reusable capabilities to agent-driven development.

  • Delegate development tasks to Copilot Cloud Agent — use AI to research repositories, plan changes, fix bugs, improve test coverage, update documentation, and implement features.

  • Work across your development environment — use GitHub Copilot effectively with VS Code, IntelliJ IDEA, and the CLI.

  • Copilot Cloud Agent - use Copilot Cloud Agent to automate the daily tasks on a schedule basis or on some vent trigger.

What Outcome Can You Achieve?

By completing this course, you’ll have the practical skills to use GitHub Copilot as an AI-powered development partner—not just as a code completion tool.

You’ll be able to code faster, debug smarter, automate repetitive tasks, and build real-world applications more efficiently using modern AI-assisted development techniques.


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Course curriculum

Requirment

  • No specific programming experience is needed. If they have knowledge on java and spring it's added advantage. They can easily follow the course with their own projects with their own preferred language. The course is designed in such a way that it can be applied to multiple programming languages and projects.

Outcomes

  • Code faster with GitHub Copilot and AI-powered assistance.

  • Master prompt engineering to generate better code.

  • Set up and use GitHub Copilot across VS Code, IntelliJ and the command line.

  • Master model context protocol (MCP) to extend Copilot’s capabilities.

  • Use GitHub Copilot Hooks to automate additional actions before and after Copilot interactions.

  • Generate tests and documentation with AI assistance.

  • Build, debug, and refactor Java applications with Copilot.

  • Find bugs and improve code quality with Copilot.

  • Create custom AI agents to automate development tasks.

  • Master copilot skills to streamline tasks and reduce token usage

  • Track copilot usage and manage cost effectively

  • Automate development with copilot cloud agent

  • Use copilot as an AI powered development partner

Instructor

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Nagendra C

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