Java AI Development with Spring AI, OpenAI, and Ollama

Integrating artificial intelligence into enterprise Java applications no longer requires switching to Python. With Spring AI, Java developers can seamlessly connect robust Spring Boot applications to powerful large language models. This text-based course guides you through the process of building intelligent, production-ready AI applications from scratch. You will transition from understanding core generative AI concepts to implementing advanced patterns like retrieval-augmented generation and tool calling within your Java codebase. What you'll learn: - Understand the foundational concepts of generative AI, large language models, and the Spring AI architecture. - Configure Spring Boot applications to communicate with local models via Ollama and cloud APIs via OpenAI. - Master prompt engineering techniques and generate structured, type-safe JSON data from AI models. - Build retrieval-augmented generation (RAG) pipelines using document ingestion, vector stores, and PgVector. - Implement tool calling to let models execute Java functions and retrieve real-time external data. - Apply modern practices for secure API key management and testing AI integrations within Spring Boot. You will start with key terminology and environment setup before progressing through step-by-step written explanations and code examples. The course moves systematically from basic chat interactions to complex multi-modal and data-aware AI systems. This course is designed for Java developers and Spring Boot beginners who want to step into the world of AI engineering. No prior machine learning or AI experience is required. Start reading today to bring state-of-the-art AI capabilities to your Java applications.