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Coles Prompting Java for Backend Development: Build Enterprise Java Applications, Microservices, AI Agents, RAG Systems, and Production Backends Faster with Prompt Engineering at Village Green Shopping Centre in Vernon, BC
Prompting Java for Backend Development: Build Enterprise Java Applications, Microservices, AI Agents, RAG Systems, and Production Backends Faster with Prompt Engineering
Prompting Java for Backend Development: Build Enterprise Java Applications, Microservices, AI Agents, RAG Systems, and Production Backends Faster with Prompt Engineering in Vernon, BC
Prompting Java for Backend Development: Build Enterprise Java Applications, Microservices, AI Agents, RAG Systems, and Production Backends Faster with Prompt Engineering in Vernon, BC
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Java powers the enterprise — and the developers who know how to direct AI with precision are the ones building and shipping production systems faster than anyone else. Prompting Java for Backend Development shows you how to translate natural-language intent directly into production-ready Java code using AI, accelerating every stage of development from core fundamentals to intelligent agentic applications.
You use prompt engineering techniques to generate Java code, debug errors, build microservices, and optimize production systems using modern AI tools and frameworks. Every chapter pairs practical Java development with guided prompt workflows, addressing real enterprise challenges including scalable architecture, code quality, and ethical AI use.
The final chapter pushes into intelligent Java application development — building a chatbot using Jlama and an autonomous agentic assistant with Retrieval-Augmented Generation (RAG). Hence, by the end of the book, you can confidently build, evaluate, and ship modern Java applications with AI!
Java powers the enterprise — and the developers who know how to direct AI with precision are the ones building and shipping production systems faster than anyone else. Prompting Java for Backend Development shows you how to translate natural-language intent directly into production-ready Java code using AI, accelerating every stage of development from core fundamentals to intelligent agentic applications.
You use prompt engineering techniques to generate Java code, debug errors, build microservices, and optimize production systems using modern AI tools and frameworks. Every chapter pairs practical Java development with guided prompt workflows, addressing real enterprise challenges including scalable architecture, code quality, and ethical AI use.
The final chapter pushes into intelligent Java application development — building a chatbot using Jlama and an autonomous agentic assistant with Retrieval-Augmented Generation (RAG). Hence, by the end of the book, you can confidently build, evaluate, and ship modern Java applications with AI!
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