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Total Size:
77.7 MB
Info Hash:
46337C27F1A019567DF43113A9D74FDF4998FDFB
Added By:
Added:
Dec. 29, 2025, 11:43 a.m.
Stats:
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(Last updated: Dec. 29, 2025, 12:34 p.m.)
| File | Size |
|---|---|
| Soto B. Applied AI for Enterprise Java Development...2026.pdf | 26.6 MB |
| Code.zip | 51.1 MB |
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| Uploaded by andryold1 | Size 77.7 MB | Health [ 62 /21 ] | Added 2025-12-29 |
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| Uploaded by moviesbb | Size 939.6 MB | Health [ 31 /16 ] | Added 2023-06-02 |
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| Uploaded by moviesbb | Size 939.7 MB | Health [ 67 /158 ] | Added 2023-06-02 |
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| Uploaded by krishh1337 | Size 1017.9 MB | Health [ 103 /26 ] | Added 2023-06-02 |
NOTE
SOURCE: Soto B. Applied AI for Enterprise Java Development...2026
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MEDIAINFO
Textbook in PDF format 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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