Learning AI

Every AI explanation you've found so far has failed you in the same way.

The coding tutorials assume you want to become a developer. The YouTube videos hand you buzzwords dressed up as insight. The courses demand forty hours and a background in linear algebra. None of them answer the actual question: How does this thing work, and what can I do with it?

Learning AI: A Complete Guide for the Curious is the book that finally bridges the gap between surface-level hype and impenetrable technical literature. It's built for intelligent adults who don't need to be convinced AI matters — they need someone to explain it clearly and show them how to use it.

This isn't a machine learning textbook reformatted for a general audience. It's a structured path from genuine curiosity to genuine competence — the kind where you understand what's happening under the hood, you can work fluently with the major tools, and you can spot the limitations that most people miss entirely.

What's inside:

• How transformers, large language models, training, and inference actually work — explained for humans, not engineers
• Prompt engineering techniques that turn mediocre AI output into something genuinely useful
• An honest comparison of ChatGPT, Claude, Gemini, and dozens of specialized tools — what each does well, where each falls short
• Practical applications across business, writing, research, and creative work that go beyond toy examples
• How to build your first real AI workflow and automate actual tasks without writing a single line of code
• The failure modes nobody warns you about — hallucinations, confident nonsense, and reasoning breakdowns — and how to protect yourself
• Ethics, bias, and responsible use covered as practical knowledge, not academic hand-wringing
• A structured 90-day learning roadmap tailored to your specific goals

Every chapter includes hands-on exercises that produce real output. By the final page, you'll have built working workflows, assembled a personal AI toolkit, stress-tested the technology's limits, and mapped out exactly where to go next.

Written by Shane Larson — software engineer, AI systems builder, and author of multiple AI and technology books including AI For Smart Beginners, Prompt Engineering For Real Work, and The AI Automation Playbook.

No math prerequisites. No programming required. No breathless predictions about the future. Just the clearest, most practical path from curiosity to competence that exists in print.