Khan, Ian.

Quick guide to prompt engineering : generative AI tips and tricks for chatGPT, bard dall-E, and Midjourney / By Ian Khan. - 1st ed. - New Delhi : Wiley , 2025. - xiv,522p. ; PB 23.3 cm

Ideal for anyone eager to explore one of the most revolutionary and practical technological advancements of our time, The Quick Guide to Prompt Engineering is an essential read. Whether you're a tech enthusiast, marketer, content creator, technical professional, data expert, or simply someone looking to harness the power of generative AI at work or home, this guide is designed for you.

With no prior experience required, this resource simplifies complex concepts, making generative AI accessible to all, regardless of expertise.

Chapter 1 The Basics of Generative Artificial Intelligence

Chapter 2 The Role of Prompts in Generative AI

Chapter 3 A Step-by-Step

Guide to Creating Effective Prompts

Chapter 4 Diving Deeper: Structure and Nuances of Prompts

Chapter 5 Prompt Engineering across Industry

Chapter 6 Practical Guide to Prompt Engineering

Chapter 7 Ethical Considerations in Prompt Engineering

Chapter 8 Application-Specific Prompt Engineering

Chapter 9 Advanced Topics in Prompt Engineering

Chapter 10 Prompt Engineering with OpenAI ChatGPT

Chapter 11 Exploring Prompts with Chat GPT

Chapter 12 Getting Creative with DALL-E

Chapter 13 Text Synthesis with CTRL

Chapter 14 Learning Languages with T2T (Tensor2Tensor)

Chapter 15 Building Blocks with BERT

Chapter 16 Voice Synthesis with Tacotron

Chapter 17 Transformers in Music with MuseNet

Chapter 18 Generating Images with BigGAN

Chapter 19 Creating Code with Codex

Chapter 20 Generating 3D Art with RunwayML

Chapter 21 DeepArt and Artistic Prompts

Chapter 22 Midjourney

Chapter 23 Google Bard

Chapter 24 Deepfaking with DeepFaceLab

Chapter 25 Image Editing with DeepArt Effects

Chapter 26 Content Generation with AIVA

Chapter 27 Audio Synthesis with WaveNet

Chapter 28 Image Classification with ImageNet

Chapter 29 Video Synthesis with VQ-VAE

Chapter 30 Your Future in Prompt Engineering

Case Study-1: Multilingual Chatbot for Customer Service—“LinguaNext Technologies”

Case Study-2: Personalized Content Creation—“AdGen Technologies”

Appendix A: Collaborative AI Endeavors and Competitive Engagement in India

Appendix B: Questions

Acknowledgments

Ian Khan—The Futurist About the Author
Ian Khan is a prolific Technology Futurist, documentary filmmaker, author, and commentator who has been regularly featured on CNN, Bloomberg, BCC, Fox, and other global media. He’s a recognized thought leader on Foresight, and future leadership with clients that include Fortune 500 companies, Governments and leading professional associations and industry groups.

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The role of prompts in generative AI
Practical guide to prompt engineering
Google bard

006.3 / KHAI