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Working with GitHub Copilot

5h 59m

From Zero to Hero

Progress0%

0 / 74 lessons5h 58m left

Course overview(0/3)

WelcomeFree Preview43s What will you learn in this course?Free Preview2m 25s Who is this course for and prerequisitesFree Preview1m 13s

Getting Started with AI and GitHub Copilot(0/6)

Section introduction36s AI-assisted development in Visual Studio5m 18s Installing and subscribing to GitHub Copilot3m 49s Configuring Copilot3m 44s Copilot in other IDEs2m 33s Section recap1m 10s

Taking Your First Steps with Copilot(0/5)

Section introduction1m 19s Introducing the demo scenarios3m 9s Taking your first steps with Copilot17m 17s Introduction to generative AI and large language models14m 5s Section recap1m 34s

Prompts, Prompt Engineering and Context Engineering(0/10)

Section introduction1m 51s Prompts and prompt engineering6m 33s Prompting inline completions10m 49s Prompting in chat: automatic context and RAG13m 43s Prompting principles and a mindset2m 58s From prompt engineering to context engineering2m 48s Persistent context engineering: custom instructions7m 11s Copilot memories, user-level preferences and generating instructions7m 12s Persistent context engineering: reusable prompt files5m 57s Section recap2m 10s

Understanding Your Codebase & Implementing Features(0/8)

Section introduction1m 29s Introducing the Copilot chat modes2m 19s Getting to know the codebase with Ask mode8m 30s Introducing Agent mode: your coding companion3m 48s Implementing the repository pattern with Agent mode10m 14s Planning: Plan mode and the Planning toggle7m 49s Building the unit of work with Agent mode5m 11s Section recap1m 25s

Polishing Your Codebase with Copilot(0/7)

Section introduction1m 17s When Agent mode gets it wrong8m 1s Documenting your codebase2m 54s Refactoring with Agent mode6m 8s Generating tests and reusing prompt files6m 42s What else can you do?6m 14s Section recap1m 43s

Evaluating and Choosing AI Models(0/5)

Section introduction1m 1s How Copilot works with multiple models5m 52s Understanding LLM benchmarks and the model comparison page4m 1s Comparing models and a practical selection strategy6m 52s Section recap1m 1s

Working with specialized agents: debugging, profiling and more(0/8)

Section introduction1m 8s Fixing errors and warnings from the Error List3m 48s Debugging with @debugger6m 29s Fixing exceptions with @debugger4m 58s Performance optimization with @profiler8m 34s @modernize and other built-in agents6m 45s Keeping Copilot costs in check10m 14s Section recap1m 23s

Committing, PRs, and code review(0/7)

Section introduction1m 8s Generating commit messages and creating PRs3m 22s Copilot on GitHub: setup and the chat experience3m 57s Code review with Copilot on GitHub5m 12s Copilot for PR summaries, issues, and more4m 17s The full workflow2m 11s Section recap1m 34s

Extending Copilot with agents and skills(0/8)

Section introduction1m 32s The extensibility spectrum3m 4s Understanding custom agents11m 52s Creating your own agents9m 26s Working with skills6m 55s Building your own skill3m 7s Discovering and adding more agents and skills2m 1s Section recap2m 4s

Extending Copilot with MCP servers(0/7)

Section introduction1m 16s What is MCP and why does it matter?3m 23s Discovering and using existing MCP servers15m 27s Building your own MCP server: scaffolding and tools9m 37s Building your own MCP server: wiring it up3m 41s Combining custom agents with MCP servers5m 2s Section and course recap2m 24s

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Prompts, Prompt Engineering and Context Engineering

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