AI Prompt Engineering: Foundations of Communication with LLMs – Building Generative AI and Agentic AI Prompt Systems Across Development, Testing, and Deployment

“Writing a really great prompt for a chatbot persona is an amazingly high-leverage skill and an early example of programming in a little bit of natural language.”
— Sam Altman, OpenAI

Prompt engineering is what determines every AI output. Even as large language models continue to develop at a dizzying speed, a majority of AI-driven tools, content, and applications suffer from what the online community has coined as “slop.” The important realization is this: AI already has the capability, but it can only go as far as the user who is prompting it.

Computer scientist and bestselling author Nelson Ming leads the discussion across 44 modules organized into eight chapters. As you progress through the various levels of prompt design, techniques, and systems, each step is supported by clear examples and visual diagrams, providing a thorough, in-depth understanding of the topic.

Main Topics
• Foundational prompt components and techniques
• Prompting AI agents and autonomous systems
• Prompting for image and video generation
• Building and maintaining prompt systems

Who This Book Is For
This book is written for developers, AI architects, engineers, and enthusiasts who are interested in replicable, high-quality outcomes. You do not need any prior knowledge of coding or machine learning. The material is presented at an intermediate level.

Table of Contents
• Chapter I – Introduction to Prompt Engineering
• Chapter II – Prompting Techniques
• Chapter III – Prompting AI Agents
• Chapter IV – Image and Video Generation
• Chapter V – Building Prompt Systems
• Chapter VI – Evaluation and Testing
• Chapter VII – Governance and Risk
• Chapter VIII – Maintenance

Whether you are learning the basics of prompt engineering or seeking to refine your professional practice, this book provides a clear and deeply informed foundation for communicating with LLMs at scale.

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Latest book revision: 14. June 2026