This book explores the no-code machine learning revolution, showing how AI has shifted from code-heavy, expert-driven systems to intuitive, visual platforms accessible to business users. It traces the evolution from traditional ML to AutoML and no-code tools, highlighting key drivers like the data science talent gap and accelerated time-to-market demands, empowering citizen data scientists.