Spring AI: Building LLM and Multi-Agent Systems

Want to harness the power of Large Language Models (LLMs) to create sophisticated, intelligent applications? Discover how to build advanced AI systems that leverage multiple LLMs and coordinate autonomous agents. This course guides you through the foundational concepts and practical implementation of Spring AI, enabling you to design and develop robust systems capable of complex reasoning and task execution. What you'll learn: * Understand the core principles of Large Language Models and their applications * Learn to integrate and manage various LLMs within a Spring Boot environment using Spring AI * Build and orchestrate multi-agent systems for complex problem-solving and decision-making * Apply prompt engineering techniques to optimize LLM interactions and agent behaviors * Configure and utilize Spring AI's components for chat, embeddings, and function calling * Develop practical AI applications that leverage both single and multiple LLM interactions * Explore basic patterns for Retrieval Augmented Generation (RAG) to enhance agent knowledge The course begins with essential AI and LLM terminology, then progressively introduces you to Spring AI's architecture and capabilities. You will learn to construct applications that communicate with diverse LLMs and coordinate multiple intelligent agents to achieve defined goals. This course is designed for beginners with basic programming knowledge in Java and Spring Boot, who are eager to explore the world of Large Language Models and AI agent development. Start building your next generation of intelligent applications today.