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Item #:
148573365
Applied AI for Enterprise Java Development: Leveraging Generative AI, LLMs, and Machine Learning in the Java Enterprise
Item #:
148573365
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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 developmentCraft actionable, AI-driven applications using Java's rich ecosystem of open source frameworksImplement field-tested AI patterns tailored for prod-ready, enterprise-strength applicationsAccess and integrate top-tier open source AI models with Java's Inference APIsNavigate the Java framework landscape with AI-centric agility and confidence
| Publisher | O'Reilly Media |
| Publication date | December 16, 2025 |
| Edition | 1st |
| Language | English |
| Print length | 428 pages |
| ISBN-10 | 109817450X |
| ISBN-13 | 978-1098174507 |
| Item Weight | 1.62 pounds (730 grams) |
| Dimensions | 7 x 2 x 9.19 inches (17.8 x 5.1 x 23.3 cm) |
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Features & Benefits
- Integrate generative AI seamlessly into your Java applications.
- Unlock actionable insights with expert guidance from leading authors.
- Learn to craft AI-driven applications using Java's open source frameworks.
- Implement proven AI patterns for enterprise-strength applications.
- Access top-tier open source AI models through Java's Inference APIs.
- Navigate Java's framework landscape with AI-centric confidence.
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