Java AI Development: LangChain4j and Spring AI

Looking to bring the power of artificial intelligence to your Java applications? As large language models transform the software landscape, backend developers need reliable ways to integrate these capabilities into traditional enterprise environments. This course provides a foundational path to building intelligent backends. You will transition from understanding basic AI concepts to implementing text generation and data retrieval features directly within your Java environment. What you'll learn: - Understand the core concepts of large language models and foundational prompt engineering. - Integrate LangChain4j and Spring AI into your Java projects using modern development practices. - Build Retrieval-Augmented Generation (RAG) pipelines to provide context-aware, accurate responses. - Connect your applications to vector databases to manage data and create AI memory. - Practice implementing robust AI-driven backend services through written exercises and code snippets. The curriculum begins with essential AI terminology and foundational definitions before progressing into practical coding applications. You will read through clear, step-by-step written explanations and apply modern design patterns to structure your AI integrations effectively. This course is designed for Java developers who are beginners to artificial intelligence and want a straightforward, text-based approach to learning. Start reading today to expand your backend development skills into the world of AI.