Artificial intelligence has become a core concern for Java developers, with a growing ecosystem of frameworks and tools for building everything from simple chatbots to sophisticated agentic systems. Java offers strong support for modern AI development through frameworks like Spring AI and LangChain4jas well as direct integrations with the major LLM providers.

This curated series provides a practical guide to building AI-powered applications in Javacovering foundational concepts, Spring AI’s core features, retrieval-augmented generation, the Model Context Protocol, AI agents, and deep learning libraries.

computer generic Getting Started with AI in Java


algorithm code generic Building with Spring AI



network system connection Model Context Protocol (MCP)


launch program running AI Agents


algorithm generic Deep Learning and ML Libraries