Welcome
What will you learn in this course?
Who is the course for and prerequisites
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Deep dive into Artificial Intelligence to improve developer productivity
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.
Very rich deep dive, One thing among other I could mention is prompting technics
Ways of prompting, extensions, how to build your own extension
A very comprehensive dive into Co-Pilot & Prompt Engineering covering everything needed for a solid foundation
How to use DevTunnels to aide the implementation of custom agents in co-pilot.
Learning new approaches of interacting with AI, even though I am using it every day
Creating AI agent from scratch and new prompting techniques
Great explanations with working examples. Being able to see how a seasoned software engineer leverages LLMs and agents.
How to analyze model benchmarks, creating a GitHub app to extend Copilot, system prompt repo. Learning to guide Copilot to receive better suggestions.
