Building Intelligent Applications with Spring AI Develop Practical Java Solutions with Generative AI, Multimodal Models

Key Features
Build production-minded AI apps with Spring's familiar programming model
Apply chat, image, audio, embeddings, and structured output in Java
Compare models, control cost, and extend Spring AI for real-world use
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Learn how to turn AI ideas into practical Java applications without fighting unfamiliar tools or excessive boilerplate. This book shows you how to use Spring AI to build intelligent applications with the Spring programming model, helping you work productively while applying chat, audio, image, embeddings, structured output, and automation capabilities in real projects.
Written by John Blum, a staff software engineer formerly with Spring R&D at VMware and a contributor to Spring AI, Spring Boot, Spring Data, Spring Framework, and Spring Session, this book combines deep Spring expertise with hands-on AI experience. You start with the foundations of AI and Spring AI, then move into building applications that translate messages in real time, process audio, identify songs, and compare model reasoning in game-based scenarios.
You also explore model options, observability, testing, extensions, and autonomous workflows so you can move beyond prototypes and build reliable applications. By the end of this book, you will be comfortable using Spring AI to design, develop, evaluate, and refine intelligent Java applications for a wide range of use cases.
What you will learn
Understand core AI concepts and Spring AI abstractions
Build Java applications with chat and multimodal models
Switch AI providers and local models with minimal changes
Structure prompts, outputs, and external data effectively
Add speech, transcription, and image capabilities to apps
Evaluate responses, monitor usage, and manage AI costs
Extend Spring AI for advanced and custom use cases
Who this book is for
Java developers, Spring developers, software engineers, and application architects who want to build practical AI-powered applications with Spring AI will find this book useful. You should be comfortable building applications with Java and Spring; prior AI experience is helpful but not required.
Table of Contents
Getting Started with Spring AI
Understanding Spring AI
Understanding Spring AI-Part 2
Realtime Message Translation
Beat Shazam
Connecting The Dots
Become a Spring AI Power User
Secret Agents
Demystifying the Impact of AI

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