AI and Data Literacy: Academic Edition is a practical, hands-on guide to understanding data and artificial intelligence. It breaks down complex concepts into clear explanations and 12 guided labs that build real, usable skills. Designed for students, educators, and lifelong learners, the book focuses on how AI and data actually work-how data is collected, cleaned, analyzed, and used to train models-so readers can think critically and use modern tools with confidence. This edition is available as a fully disability-accessible EPUB , supporting screen readers, reflowable and resizable text, keyboard navigation, alt-text for images, and accessible semantic structure. Every learner can engage with the material effectively. More than a textbook, it includes a complete digital learning environment with downloadable datasets, ready-to-run code, templates, walkthroughs, and sample solutions. Ideal for self-study, classrooms, and remote or hybrid instruction. Includes 12 Hands-On Labs Data vs. Information • Automation vs. AI • Survey Design & Data Lifecycle • Data Cleaning • R Programming • Data Profiling • Web APIs • Unsupervised Learning • Supervised Learning • Statistics & Visualization • Prompt Engineering • AI Ethics & Bias Who This Book Is For Students, educators, beginners, professionals upskilling for an AI-driven workplace, and accessibility-focused learners and institutions.