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Handbook of AI Prompting: A Practical Guide to Designing Effective Prompts for Modern AI Systems

by Anubhav Gupta
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Current price ₹2,947.00
Original price ₹3,262.00
Original price ₹3,262.00
Original price ₹3,262.00
(-10%)
₹2,947.00
Current price ₹2,947.00

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Book cover type: Paperback
  • ISBN13: 9798279041572
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 474
  • Original Price: GBP 25.78
  • Language: English
  • Edition: N/A
  • Item Weight: 626 grams
  • BISAC Subject(s): Artificial Intelligence / Generative AI

Handbook of AI Prompting is a comprehensive, practitioner-focused guide to mastering prompt engineering for modern AI systems. As generative AI becomes central to marketing, business operations, education, and content creation, the ability to communicate effectively with AI models has emerged as a critical professional skill.
Written by Dr. Anubhav Gupta, a marketing strategist with more than two decades of experience, this book bridges theory and real-world application. An alumnus of IIT-BHU and ISB Hyderabad, Dr. Gupta is the Co-Founder of SARK Promotions and Curiobuddy, and actively shares his insights through his blog at elgorythm.in.
This handbook goes beyond surface-level prompt tips. It explains how large language models interpret prompts internally-covering tokenization, embeddings, attention mechanisms, inference dynamics, and constraint handling-before progressing to advanced prompting frameworks, real-world case studies, and enterprise-scale prompt systems.
Designed as a ready reckoner for small businesses, a reference guide for practitioners, and structured study material for institutes and training programmes, the book includes frameworks, templates, debugging methods, and future-facing insights into agentic and multimodal AI systems.
Whether you are a beginner learning AI prompting or a professional designing scalable AI workflows, this book provides a structured path to precision, reliability, and control in AI interactions.

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