Spring AI in Action: Building a Reservation AI Agent

Modern applications are increasingly expected to handle complex, natural conversations and automate tasks like scheduling and reservations. This text-based course guides you through the process of building a production-ready AI agent using the Spring AI framework. You will start with the absolute fundamentals of artificial intelligence integration in Java, learning how to connect to large language models safely and efficiently. By completing this course, you will transform from a traditional Java developer into an engineer capable of designing, writing, and testing intelligent backend systems. You will understand how to manage conversational state, implement tool calling, and connect external data sources to your AI workflows. What you'll learn: - Understand the core concepts of Spring AI and the architecture of modern AI agents - Configure secure connections to large language models using modern Java practices - Implement retrieval-augmented generation (RAG) to ground your agent in real-time reservation data - Apply function calling to allow the AI agent to execute database actions and check availability - Manage conversational memory and session states for seamless user interactions - Write integration tests using robust testing frameworks to ensure agent reliability This course begins with foundational concepts, defining key terminology around generative AI, vector databases, and embeddings before moving into step-by-step implementation. You will explore practical code examples that demonstrate how to structure your Spring Boot application to support complex AI workflows. This course is designed for Java developers who are new to AI engineering and want a clear, structured path to building intelligent systems. No prior experience with machine learning or AI frameworks is required. Start reading today to build your first intelligent reservation agent with Spring AI.