Spring AI for Java: Build Production-Ready AI Assistants

Artificial intelligence is rapidly transforming how applications are built, and Java developers are at the forefront of this evolution. Spring AI provides an intuitive and powerful framework to integrate generative AI into your Java projects with ease. This course will guide you through the process of developing sophisticated AI assistants using Spring AI. By the end, you will be able to design, implement, and deploy robust AI applications in Java, leveraging modern techniques for contextual understanding, interactive conversations, and reliable performance. What you'll learn: * Understand the foundational concepts of generative AI and large language models (LLMs). * Learn to integrate LLMs into Java applications using the Spring AI framework. * Build conversational AI agents with effective memory management for sustained interactions. * Implement Retrieval Augmented Generation (RAG) to enhance AI responses with custom data sources. * Apply Tool Calling to enable AI assistants to interact with external services and APIs. * Configure and monitor Spring AI applications for resilient production deployment. * Practice developing and testing AI-driven features in practical Java projects. The course begins with an introduction to core AI terminology and the architecture of Spring AI, progressively moving into practical implementation of conversational interfaces, data-grounded responses, and external tool interactions. It concludes with essential strategies for making your AI applications ready for production. This course is designed for beginner Java developers eager to integrate artificial intelligence into their applications. No prior experience with AI or machine learning is required. Start building intelligent Java applications today.