Multi-Agent Systems with Spring AI and Spring Boot

Integrating artificial intelligence into enterprise Java applications no longer requires switching to Python. Using Spring AI, you can build sophisticated, production-ready AI systems directly within the comfortable Spring Boot ecosystem. This text-based course guides you from the fundamental concepts of Generative AI to designing complex multi-agent architectures. You will understand how to orchestrate multiple specialized AI agents, manage conversational state, and connect external data sources to your models. What you will learn: Understand foundational AI concepts, prompt engineering, and the Spring AI architecture; Implement Retrieval-Augmented Generation to ground AI responses with your own data; Design multi-agent systems where specialized agents collaborate to solve complex tasks; Configure vector databases to store and retrieve high-dimensional document embeddings; Manage structured outputs and chat memory for reliable, context-aware conversations; Apply modern Spring Boot patterns to secure and scale your AI-powered endpoints. The course starts with key terminology and foundational AI integration concepts before progressing to step-by-step code walkthroughs for multi-agent coordination and data retrieval. Designed for Java developers and Spring Boot beginners looking to enter the AI space, with no prior machine learning experience required. Start reading today to build next-generation intelligent applications with Spring AI.