Artificial Intelligence is transforming software development, and Spring AI 2 brings enterprise-grade AI capabilities directly into the Spring ecosystem. This course is designed for Java developers, Spring Boot developers, and software architects who want to build modern AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Model Context Protocol (MCP), multimodal AI, and production-ready architectures.
Starting with the fundamentals, you’ll learn how to integrate leading AI models such as OpenAI, Gemini, Anthropic Claude, Ollama, and Azure OpenAI into Spring Boot applications using Spring AI 2. You’ll then progress to advanced enterprise topics including vector databases, document ingestion pipelines, metadata filtering, observability, security, knowledge graphs, and multi-agent orchestration.
Unlike theory-only courses, every lesson is backed by hands-on projects, real-world examples, and production best practices that you can immediately apply in your own applications. By the end of this course, you’ll have the skills to design, build, deploy, and monitor intelligent Spring Boot applications that are scalable, secure, and enterprise-ready.
