Building AI Agents with Spring AI and PlayMCP

AI agents are transforming how we build software, but connecting large language models to external data and APIs has historically been complex. This course teaches you how to bridge this gap using modern Java technologies. You will learn to build, configure, and deploy autonomous AI agents from scratch. By combining the Spring AI framework with PlayMCP, you will create robust Java applications that can reason, call local tools, and interact with external data sources seamlessly. What you will learn: 1. Understand the core concepts of AI agents, tool use, and the Model Context Protocol (MCP). 2. Configure Spring AI to connect with language models and manage conversation memory. 3. Implement PlayMCP to create standardized interfaces for agent tools and resources. 4. Build practical AI agents capable of executing tasks, querying databases, and processing requests. 5. Apply modern Spring Boot patterns to secure and scale your agent-based applications. 6. Debug and trace agent decisions, tool execution, and model interactions. This course begins with essential terminology and foundational definitions of agentic workflows before moving into practical code implementations. You will explore step-by-step written explanations and structured code snippets that show you exactly how to wire components together. This course is designed for Java developers, Spring Boot engineers, and software architects looking to build modern AI applications. No prior background in machine learning is required. Start reading today to master modern AI agent development in Java.