Session

Building Enterprise AI Agents with Spring AI and MCP

In this intensive 4-hour precompiler, you'll learn how to build enterprise-grade AI agent systems using Spring AI's complete ecosystem. We'll construct a robust application that can run locally for development and scale to cloud environments for production. You'll create a production-ready chatbot using Spring Boot, add a custom-built Spring MCP server, implement Spring AI's effective agent patterns, and integrate RAG capabilities with a variety of vector databases. Using AI models through both local Ollama and cloud providers like AWS Bedrock, you'll develop highly available and intelligent agents with structured outputs, comprehensive analytics, and enterprise monitoring.

This precompiler is perfect for Java developers and enterprise architects ready to add AI capabilities to existing Spring applications. You'll leave with a complete working system: enterprise MCP server, Spring AI agent workflows, RAG integration, production analytics with Spring Boot Actuator, and Apache Airflow orchestration patterns. Learn deployment strategies that give you flexibility for any scenario - from local development to enterprise cloud deployments.

Jackie Gleason

THE Jackie Gleason

Columbus, Ohio, United States

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