Building Intelligent Applications with Spring AI: Develop Practical Java Solutions with Generative AI, Multimodal Models, and Agents - Tapa blanda

Sinopsis

Build intelligent Java applications using Spring AI with practical projects covering generative AI, multimodal models, and real-world use cases

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

1. Getting Started with Spring AI
2. Understanding Spring AI: Part 1
3. Understanding Spring AI-Part 2
4. Real-Time Message Translation
5. Beat Shazam
6. Connecting The Dots
7. Become a Spring AI Power User
8. Secret Agents
9. Demystifying the Impact of AI

"Sinopsis" puede pertenecer a otra edición de este libro.