Applied AI for Enterprise Java Development

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A01=Alex Soto Bueno
A01=Markus Eisele
A01=Natale Vinto
AI Gen AI Java Langchain Langchain4j Inference API HuggingFace Models AI Models Local AI ChatGPT Ollama Kubernetes Spring Boot Quarkus JakartaEE
Author_Alex Soto Bueno
Author_Markus Eisele
Author_Natale Vinto
Category=UMX
Category=UYQF
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction

Product details

  • ISBN 9781098174507
  • Dimensions: 178 x 232mm
  • Publication Date: 30 Nov 2025
  • Publisher: O'Reilly Media
  • Publication City/Country: US
  • Product Form: Paperback
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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 to:

  • 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

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