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Applied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise

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As a Java enterprise developer or architect, you know that embracing AI isn't just optional—it's critical to keeping your competitive edge. The question is, how can you skillfully incorporate these groundbreaking AI technologies into your applications without getting mired in complexity?


Enter this clear-cut, no-nonsense guide to integrating generative AI into your Java enterprise ecosystem. With insights from authors Alex Soto Bueno, Markus Eisele, and Natale Vinto, you'll learn to marry the robustness of Java's enterprise world with the dynamism of AI. It's more than just a how-to—it's a way to elevate enterprise software with savvy AI integrations, ensuring your skills and your applications remain on the cutting edge. Inside, you'll unlock the power


Demystify GenAI's role and impact on contemporary software development
Craft actionable, AI-driven applications using Java's rich ecosystem of open source frameworks
Implement field-tested AI patterns tailored for prod-ready, enterprise-strength applications
Access and integrate top-tier open source AI models with Java's Inference APIs
Navigate the Java framework landscape with AI-centric agility and confidence

697 pages, Kindle Edition

Published November 7, 2025

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Alex Soto Bueno

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Profile Image for Mikhail Filatov.
402 reviews21 followers
January 14, 2026
The title is a bit misleading. I didn’t find anything enterprise Development specific in the book, unless the authors believe that Java =☀️Enterprise.
The book is an overview of using LLMs in Java, going through standard topics like using LangChain,RAG, etc. In Java.
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