This course is a practical introduction to building AI-powered applications using Spring AI and Java. It is designed for developers who want to integrate large language models (LLMs) into real backend systems without getting overwhelmed by theory.

You will begin by understanding how Spring AI fits into modern application architecture and how it simplifies working with AI in Spring Boot applications. The course then focuses on real-world use cases through fast, demo-driven lessons.

In this course, you will:

• Understand the fundamentals of AI, LLMs, and Spring AI

• Build a working chat application using Spring Boot and OpenAI

• Explore real-world use cases like text-to-SQL, RAG, analytics, and distributed AI systems

• Learn how to control AI behavior using system prompts

• Integrate external tools and APIs into AI applications

This course is intentionally designed to be simple, fast-paced, and practical. Instead of going deep into implementation details, it focuses on giving you a clear mental model of what is possible with Spring AI.

By the end of this course, you will:

• Have built your first AI-powered backend application

• Understand different patterns used in real-world AI systems

• Know how to choose the right approach based on your use case

• Have a clear roadmap for learning Spring AI in depth

If you are a Java developer looking to get started with AI in a structured and practical way, this course provides the perfect starting point.