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Generative AI Prompt Engineering Learning Ecosystem
Redefining what eBooks can be!
This book is 80% completeLast updated on 2026-02-02
A multimedia prompt-engineering learning ecosystem that helps you move from understanding techniques to applying them through a repeatable workflow and an online Prompt Companion.
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About
About the Book
Generative AI Prompt Engineering Learning Ecosystem is the third book in the Generative AI Professional Series. It is designed for professionals who want a dependable way to use prompt techniques on real tasks without guesswork or endless trial-and-error. You can read it end-to-end, but it’s also meant to be used a la carte: start with your role or immediate problem, then go straight to the most relevant technique.
At the center of the book is the Gen AI Prompt Companion: an online application that complements the guide by centralizing supporting resources in one fast-reference place. From a single interface, you select a technique and switch between infographics, video, audio, and a template editor so you can reinforce the same concept through multiple learning modes. The Companion supports personalization, including favoriting techniques for faster return visits, switching between light and dark themes, and saving notes and draft edits locally. It also lets you load a prompt template, tailor it to your needs, and then copy or download it for immediate use.
To help you start quickly, the ecosystem includes five professional archetypes The Content Strategist, The Data Detective, The Technical Communicator, The Project Innovator, and The Strategic Leader so you can map your day-to-day work to practical prompting workflows. If you want prompt engineering that you can reuse, adapt, and rely on, this book is built to become part of how you work.
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Author
About the Author
George Tome
George Tome is an Author, Enterprise AI Coach and Trainer, and founder of Agility AI LLC. His work focuses on helping professionals and organizations turn rapidly evolving Generative AI technologies into practical, reliable, and repeatable capabilities for real-world use.
He is the author of The Generative AI Professional Series, a connected learning path designed to help professionals progressively build the knowledge, skills, and judgment needed to use Generative AI effectively. His work explores prompt engineering, context engineering, RAG and grounding, agents and tool use, evaluation, guardrails, governance, and the emerging engineering practices shaping reliable Generative AI.
George's books go beyond traditional technical guides by combining concepts with practical frameworks, workflows, interactive applications, assessments, videos, and hands-on learning tools. The goal is to help readers move beyond simply understanding Generative AI to applying it effectively in their own work.
George brings more than 30 years of experience in innovation, enterprise transformation, Agile and Lean practices, training, coaching, project and program management, and organizational change. He has led initiatives across multiple continents, and his work has been recognized in the Harvard Business Review. This experience shapes his approach to Generative AI: emerging technology creates lasting value when people can understand it, apply it, evaluate it, improve it, and integrate it into dependable ways of working.
His professional education and certifications include programs from Stanford University and the University of Chicago, along with extensive training and certification in Agile, project management, innovation, risk and decision-making, and design thinking.
Today, George's work increasingly centers on reliable Generative AI and the engineering disciplines surrounding it - connecting prompts, context, retrieval, agents, tools, evaluation, human review, guardrails, governance, and iterative workflows into practical AI systems that professionals and organizations can trust.
Through his books, applications, courses, workshops, videos, and learning tools, George is building an applied learning ecosystem that makes sophisticated Generative AI concepts accessible to professionals without requiring them to become software developers—while providing the structure, rigor, and practical judgment needed to use AI responsibly and effectively.
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