Java AI Development with Spring Boot and Generative AI

Artificial Intelligence is no longer a niche field; it is becoming a core component of modern software development. For Java developers, the ability to integrate sophisticated models into existing ecosystems is a critical skill for building the next generation of software. This course provides a clear path for Java developers to transition into the world of AI using the Spring framework. You will move from foundational concepts to implementing complex patterns that allow applications to reason, generate content, and interact with users in natural language. By the end of this course, you will understand how to leverage the Spring AI project to create feature-rich, AI-driven services. What you'll learn: - Understand the fundamental concepts of Generative AI and Large Language Models within a Java context - Configure Spring Boot applications to securely communicate with various AI model providers - Master prompt engineering techniques to optimize the quality and reliability of AI responses - Implement Retrieval-Augmented Generation (RAG) patterns using vector databases for context-aware applications - Integrate multimodal capabilities including image generation and audio processing into your services - Apply structured output techniques using Bean Converters to transform AI responses into usable Java objects - Practice building the full lifecycle of an AI-driven application from initialization to deployment The course begins with essential terminology and the core architecture of AI-integrated systems. You will then progress through written technical explanations and code-based exercises that cover API interaction, prompt management, and modern data retrieval strategies. This course is designed for Java developers who are new to Artificial Intelligence. No prior experience with machine learning or data science is required, though a basic familiarity with Spring Boot is recommended. Start your journey into AI-enhanced software development today.