Prompting Generative AI for Intelligent Applications [#1044493]

Prompting Generative AI for Intelligent Applications
English | 2026 | ISBN: 8169646081 | 572 pages | True EPUB | 24.57 MB
From Prompt to Production - Build the Future with Generative AI.
Book Description From Natural Language to Intelligent Systems at Production Scale
Generative AI is reshaping how software gets built, how businesses operate, and how professionals deliver value - and the ability to move from a natural language idea to a working AI application is the defining skill of the next decade. Prompting Generative AI for Intelligent Applications shows you how to translate plain language intent directly into LLM applications, RAG pipelines, and intelligent agents using AI, accelerating every stage of development from first prompt to production deployment.
Rather than teaching AI theory from scratch, this book puts prompt-driven execution at the centre. You use prompt engineering techniques to build chatbots, chain AI actions, design knowledge bases with vector databases, and orchestrate multi-agent systems, then deploy them across cloud and private infrastructure with confidence. Every chapter is oriented around getting working AI output faster, not theory.
By the end of the book, you will use prompts as a core part of your AI development workflow, building and deploying intelligent applications with greater speed, clarity, and production confidence than traditional development approaches allow.
What you will learn ● Translate natural language intent into working LLM applications using prompt engineering techniques. ● Build AI workflows by chaining prompts, actions, and tools into logical multi-step pipelines. ● Design and deploy RAG systems using embeddings, vector databases, and knowledge retrieval architectures. ● Orchestrate intelligent multi-agent systems for complex reasoning and collaborative AI task execution. ● Deploy AI applications across cloud platforms and private infrastructure with production-ready confidence. ● Build responsible
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