From the course: Build AI Agents with GitHub Copilot by Microsoft Press

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Learning objectives

Learning objectives

Welcome to this lesson, Build and Extend AI Agents with Copilot. This lesson is where things are really going to come together because we'll be moving from understanding the basic concepts of AI agents to actually building working agents and improving them with the help of Copilot. Now just so that you have an idea of what to expect, here's how this lesson is going to go. Begin by implementing a simple rule-based agent to establish a baseline. This will just give us a basic idea of how the different pieces of an agent fit together. And then we'll see how we can use generative AI models to make decisions and how our software can take those decisions and make them happen. After that, we'll see how writing better prompts can improve our agents as well as how to add more sophisticated tools such as retrieval-augmented generation or RAG into our agents. So by the end of this lesson, you'll have hands-on experience building and improving real AI agents, so let's jump in and get started.

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