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 ...
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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. 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. Table of Contents 1. Discover the GenAI Revolution from Hype to Real Impact 2. How Large Language Models Understand and Generate Text 3. Build Your AI Vocabulary with Tokens, Prompts, and Embeddings 4. Choose Your AI Partner by Exploring GPT, Claude, and Gemini 5. Create AI Solutions without Code Using No-Code Platforms 6. Master Prompt Engineering to Make AI Work for You 7. Build Your First AI App by Turning Ideas into Code 8. Create Smart Workflows by Chaining AI Actions Together 9. Design Beautiful AI Apps with Professional User Interfaces 10. Teach AI to Understand Meaning with Semantic Search 11. Build Knowledge Bases with Vector Databases 12. Create AI with Memory Using RAG Systems that Remember 13. Build Reasoning Agents with Design Thinking 14. Orchestrate AI Teams with Collaborative Multi-Agent Systems 15. Deploy AI Privately on Your Own Hardware 16. Launch AI Apps on Cloud 17. Accelerate Development with AI-Powered Coding Assistants 18. Build Responsible AI with Ethics and Safety Best Practices 19. Building a Sustainable Career in Generative AI 20. Capstone Projects Using Generative AI Index
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