We are racing toward a new kind of AI—faster, smarter, and more connected than ever. At the heart of it is the Data Lakehouse, and Databricks is the engine powering the transformation. Whether you're a data scientist training models, an engineer scaling pipelines, or an architect modernizing your stack, this book gives you what you need to stay ahead. Inside, you'll understand how to unlock the full potential of Machine Learning and Generative AI (GenAI) using Databricks—no fluff, just real tools, real strategies, and real results. From MLFlow and AutoML to Unity Catalog, Retrieval Augment Generation (RAG), and Vector Search, you'll get a complete blueprint for building intelligent systems that actually work in production. With step-by-step labs, industry case studies, and expert tips from someone who's lived through the entire evolution of enterprise AI, this book is your guide to mastering what's next. If you're serious regarding building AI that matters, this is where your journey begins. What You'll LearnBuild full-stack ML and GenAI solutions on DatabricksTrain and track models with MLFlow, AutoML, and tuning strategiesSecure and govern data with Unity CatalogApply explainable, ethical AI techniquesDeploy and monitor ML models in real-world pipelinesUse RAG and vector search to power GenAI applicationsGain confidence with hands-on labs and real enterprise use casesWho This Book Is ForAzure administrators, data architects, and data engineers
