AI is rapidly becoming a core part of modern applications, but integrating LLMs into a Spring application involves much more than dealing with prompts.
In this course, we’ll learn how to use Spring AI to build intelligent, production-ready applications while taking advantage of the familiar Spring programming model.
We’ll start with the fundamentals, then build an AI-powered chat app, work with multiple model providers, stream responses, and generate structured output.
Once we have the basics down, we’ll explore more advanced topics such as RAG, vector stores, embeddings, MCP and practical testing techniques. The material is meant to take you all the way 🙂
Actual practice through a Java project – definitely the best way to learn Spring AI
The essential guide to building AI-powered applications with Spring AI. The 5 modules develop practical skills step by step: from Spring AI fundamentals and chat applications to structured output and Retrieval-Augmented Generation (RAG), to MCP, testing, and production-ready best practices.
Everything you need to work with Spring AI.
The lessons in this course are text-based, with a full project backing each one.
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