Artificial Intelligence is already shaping education, healthcare, work, and public life — but most people are taught either how to code AI, or how to fear it. Very few are taught how to think about it. This workbook is designed to change that. Artificial Intelligence: Concepts, Limits, and Real-World Use — Workbook is a structured, non-technical companion to the main textbook, created for students, educators, and professionals who need to develop AI literacy , not engineering skills. Rather than focusing on algorithms or mathematics, this workbook trains readers to: understand what AI systems actually do - recognise their limits and assumptions - analyse real-world use across sectors - reason about ethics, responsibility, and accountability - make informed judgments about when AI should — and should not — be used Each section combines guided explanations, applied scenarios, structured exercises, and reflection prompts. The workbook culminates in a full capstone project , enabling learners to analyse a real AI system holistically — from data and capability to ethics and governance. This workbook is suitable for: undergraduate and foundation-year courses - interdisciplinary AI, ethics, or digital literacy modules - international cohorts (UK, EU, India, global programmes) - non-technical learners across social sciences, education, health, business, and policy No coding. No hype. No fear-based narratives. This is a workbook for learning how to question AI responsibly , not simply accept or reject it.