Spring AI: AI-Powered Apps with Java Spring Boot with Bharat Patel

Spring AI Course — Build AI-Powered Applications with Java & Spring Boot

Learn how to build production-ready AI applications using Java, Spring Boot and Spring AI—without leaving the Java ecosystem.

This course takes you from the fundamentals of LLM integration to practical AI features such as structured output, tool calling, embeddings and Retrieval-Augmented Generation (RAG).

What you'll learn:

1. Spring AI fundamentals and architecture
2. Integrating LLMs with Spring Boot
3. Chat models, prompts and prompt templates
4. Structured AI output
5. Advisors and reusable AI workflows
6. Embeddings and vector search
7. Retrieval-Augmented Generation (RAG)
8. Tool/function calling
9. Building AI-powered backend APIs
10. Production considerations for AI applications

• Common Spring AI interview questions and concepts

Who is this for?

1. Java developers who want to enter GenAI
2. Spring Boot developers building AI features
3. Backend engineers preparing for AI-focused interviews
4. Developers who want to move from traditional backend development to AI-powered applications

What you get:

📕 Complete Spring AI course PDF

💻 Java/Spring-focused examples

🧠 Practical concepts instead of AI theory overload

🚀 A foundation for building real AI features with Spring Boot