Artificial Intelligence and Agents in .NET

Discover how to take your .NET applications to the next level by integrating artificial intelligence in a practical, modern, and production-ready way. In this course, you’ll learn step by step how to add AI capabilities to your applications, with minimal theory and a strong focus on real-world scenarios.We’ll start with the basics by integrating AI into a console application, so you can understand the fundamentals of interacting with language models. From there, we’ll move on to Microsoft Extensions AI, one of the key components of the modern .NET ecosystem for working with AI in a flexible and decoupled way, allowing you to switch between providers such as OpenAI, Anthropic, or Google without rewriting your application.As we progress, we’ll build a fully functional chatbot using ASP.NET Core. This won’t be just another text generator: we’ll implement response streaming to improve the user experience, enabling text to appear in real time without unnecessary waiting. You’ll also learn how to use tool calling, a technique that allows the AI to execute functions from your C# code, integrate with your database, or consume external APIs.We’ll also cover more advanced scenarios, such as human-in-the-loop workflows, where the AI requests approval before performing sensitive actions like sending emails. This is essential for building secure and reliable systems in real-world environments.In the RAG (Retrieval-Augmented Generation) module, you’ll learn how to build applications that allow AI to answer questions based on your company’s own documents. Not only that, but we’ll also implement a source citation system, increasing the reliability of responses and making it possible to verify the information being used.Finally, we’ll explore the Model Context Protocol (MCP), where we’ll build a server that enables tools like ChatGPT or Claude to interact directly with your application. This opens the door to scenarios where users can perform real actions in your system simpl