Prompting Generative AI for Intelligent Applications - Paperback

by Jit Sinha (Author)

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