Welcome
What will you learn in this course?
Who is the course for and prerequisites
Deep Dive: Boosting Developer Productivity with AI
Deep dive into Artificial Intelligence to improve developer productivity
About This Course
AI holds tremendous potential and moves ahead at breakneck speed. One of the areas in which it shines is helping you increase your productivity as a developer, in and out of Visual Studio. In this deep dive course, which starts where the related getting started course stopped, you�ll learn how to do that. The course is focused on GitHub Copilot, but other assistants and approaches are also covered. You�ll learn how to use it in a variety of IDEs. You�ll learn how it can help write tests, optimise code, commit code, review PRs, and even iteratively help you implement a user story with Copilot Edits. After that, a substantial part of the course is dedicated to evaluating LLMs: you�ll get a taste of Mistral Large, Claude Sonnet, GPT4o and others. A variety of LLMs is then used to teach you advanced prompt engineering techniques to improve the results you�ll get. The final section of the course is about extension and AI agents: you�ll learn how to write your own agent that integrates with GitHub Copilot.
Course Curriculum
4h 55m 8 sections
Introduction
Positioning GitHub Copilot
Setting Up GitHub Copilot in VS Code
Working With GitHub Copilot in VS Code
Setting Up GitHub Copilot in JetBrains Rider
Working With GitHub Copilot in JetBrains Rider
Working With GitHub Copilot in the GitHub CLI
Working With GitHub Copilot in Other IDEs
Section Recap
Introduction
Getting to Know the Demo Codebase
Unit Tests, Integration Tests and End-to-End Tests
Generating Dummy Data
Generating and Running Unit Tests
Generating and Running Integration Tests
WebApplicationFactory: Integration Tests or End-to-End Tests?
Generating and Running End-to-End Tests
Generating Test Requests
Section Recap
Introduction
Improving Your Codebase
Working With Copilot Edits
Section Recap
Introduction
Committing Code and Creating Pull Requests in Visual Studio
Creating Pull Requests on GitHub
Section Recap
Introduction
LLMs, From Generic to Specific
How LLMs Are Rated
Should You Be Running Benchmarks Yourself?
Comparing Popular LLMs
Evaluating ChatGPT (GPT4o) for Development
Evaluating Mistral (Mistral Large) for Development
Evaluating Claude (Sonnet) for Development
Integrating Claude in Your IDE
Evaluating Amazon Q Developer for Development
Integrating With LLMs From Code
Section Recap
Introduction
Prompts, Prompt Engineering and the Lingo Problem
Manipulating LLM System Prompts
Zero-, One-, and Few-shot Prompting
Weighted Prompting
Chain-of-Thought (CoT) Prompting
Reasoning and Acting (ReAct) Prompting
Retrieval-augmented Generation (RAG) Prompting
Section Recap
Introduction
About AI Agents and Extensions
Discovering Extensions
Installing and Using an Extension
Creating an AI Agent with Retrieval-augmented Generation (RAG) Prompting Support
Creating a Custom AI Agent: Plumbing
Creating a Custom AI Agent: Implementation
Creating a Custom AI Agent: Tightening the Implementation
Section Recap
Course Details
Level Deep Dive
Duration 4h 55m
Rating 
Lifetime access
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Learn MoreMeet Your Instructor
Kevin Dockx
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