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AI Made Simple: A Plain-English Guide to Understanding AI, GenAI, Machine Learning, and LLMs
Paperback
Publisher Price: $29.95
Publisher: John Binks
Published: Sep 18 2026
Pages: 116
Weight: 0.67
Height: 0.30 Width: 8.50 Depth: 8.50
Language: English
Artificial intelligence is everywhere. Understanding it shouldn't require a computer-science degree.
AI Made Simple is a practical, plain-English guide for anyone who wants to understand artificial intelligence without becoming a programmer, data scientist, or AI engineer.
John Binks takes the terminology that can make AI sound complicated and explains it in clear, approachable language. You'll learn how artificial intelligence, machine learning, neural networks, deep learning, generative AI, large language models, AI assistants, and AI agents fit together, what makes them different, and why those differences matter.
Whether you use ChatGPT at work, hear AI discussed in meetings, manage people who are adopting AI, evaluate new technology for an organization, or simply want to understand where AI is headed, this book gives you the foundation to participate confidently in the conversation.
AI Made Simple does not tell you that AI will solve everything, and it does not bury you in technical jargon. Instead, it gives you a practical mental model for understanding what AI is, what it can do, where it can fail, and how to evaluate it more carefully.
You'll learn how to ask better questions, recognize weak claims, verify important information, protect sensitive data, and decide when AI should assist people rather than replace their judgment. You'll also learn why using AI effectively is not just about writing better prompts. It is about understanding the information available to the system, the tools it can access, the consequences of an error, and the role human oversight should play.
The goal is not to turn you into an AI engineer. It is to help you become informed enough to understand the technology, use it responsibly, challenge exaggerated claims, recognize limitations, and participate confidently in decisions about how AI should be used at work and in everyday life.
No programming. No equations. No computer-science degree required.
You don't need to become an AI expert.
You need to become AI literate.
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