Learn from Scratch: Generative AI for Jakarta Developers (EditionFirst Edition): Generative AI for Jakarta Developers (Covers Version 11) - Tapa blanda

Sinopsis

Learn from Scratch: Generative AI for Jakarta Developers is your definitive guide to leveraging the robust, scalable, and secure Jakarta EE skills you already possess to build powerful, production-grade AI applications.

This journey takes you from foundational concepts to a monumental finale project: building The AI Developer's Workbench, a complete, modular, and portfolio-ready suite of AI-powered tools from the ground up!

This book demystifies AI by grounding every concept in the enterprise Java ecosystem you know. You will master the "how" and "why" of AI integration, learning how to call models like Gemini using the tools you trust. You'll see how to architect AI services, handle JSON payloads, and manage secure API calls using Servlets, JAX-RS, and CDI.

Master Enterprise AI with the Jakarta EE: Stack navigate the complete modern enterprise ecosystem. Go from setting up your "AI Workshop" with NetBeans and Glassfish to mastering the core Jakarta specs for AI. You will learn to build secure REST APIs, manage configuration with CDI, and build your first end-to-end AI application-from a minimal servlet to a clean, functional UI.

Build an Enterprise AI Portfolio: Stand out in the job market by building a suite of high-value, real-world AI applications. This book provides a unique, practical guide to building tools that solve common business problems, including an AI-powered Q&A helper, a "smart text enhancer," a one-click summarizer, and a "reply ready" email assistant.

Go Real-time with AI and WebSockets: Move beyond simple request- response. Learn to build a "Chat That Feels Alive" by integrating a streaming AI service with Jakarta WebSockets. You'll master session tracking, conversation history, and context management to create a truly interactive AI chatbot.

Learn by doing (and understanding): Master concepts faster with our proven structure. Project sections explicitly show you how chapter concepts map to code (Bridging the gap), demonstrate the app in action (Exploring application behavior), and discuss real-world relevance.

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