Mastering Spring AI with Java helps Java and Spring Boot developers build intelligent, AI-powered applications. This hands-on course takes you step by step from setting up your first Spring AI project to implementing advanced features like prompt engineering, memory, function calling, retrieval-augmented generation (RAG), and multimodal AI.
Spring AI enables developers to create context-aware applications that can handle complex tasks, maintain conversation history, interact with real-world data, and even process images. With practical examples and real demos, this course guides you through the essential tools and techniques needed to bring AI into your Spring Boot projects.
What you’ll learn:
Prompt Engineering: Craft effective prompts, use templates, and generate structured outputs.
Memory & Context: Build multi-turn conversations that remember user input and maintain continuity.
Function Calling: Integrate AI with real-world data and services, handle structured results, and manage errors.
Retrieval-Augmented Generation (RAG): Query documents, work with persistent vector stores, and handle multi-document knowledge.
Image Handling: Caption, generate, and style images to create multimodal AI applications.
Production-Ready Practices: Learn best practices for building scalable and maintainable AI-powered applications.
By the end of this course, you’ll have practical skills to confidently integrate AI features into your Java and Spring Boot applications. Whether you want to build chatbots, knowledge assistants, or advanced AI-powered apps, this course gives you the tools and guidance to start building real-world AI applications today.
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