Vai direttamente ai contenuti
Save 5% on your next order with code PREMIUM5!
100,000+ Products for Home, Medical, Office & Classroom Needs
Search
Passa alle informazioni sul prodotto
1 su 1

Applied AI for Enterprise Java Development: Leveraging Generative Ai, Llms, and Machine Learning in the Java Enterprise - Paperback

$71.26 USD
$71.26 USD
In offerta Esaurito
Spese di spedizione calcolate al check-out.
In stock (100 units), ready to be shipped

Available Offers

Fast delivery available on most orders

Multiple secure payment options accepted

Secure checkout with
  • American Express
  • Apple Pay
  • Bancontact
  • Diners Club
  • Discover
  • Google Pay
  • Mastercard
  • PayPal
  • Shop Pay
  • Visa
Visualizza dettagli completi

Product Description

by Alex Soto Bueno (Author), Markus Eisele (Author), Natale Vinto (Author)

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
Number of Pages: 428
Dimensions: 0.87 x 9.19 x 7 IN
Publication Date: December 16, 2025
you might like