ML and Generative AI in the Data Lakehouse by Bennie Haelen (.ePUB)+
File Size: 23.5 MB
ML and Generative AI in the Data Lakehouse: Building and Deploying AI Applications at Scale by Bennie Haelen
Requirements: .ePUB, .PDF reader, 23.5 MB | True PDF, True EPUB
Overview: Your organization’s data lives in a lakehouse. Your AI ambitions demand models that understand your business, not just the internet. This book bridges that gap, showing you how to build scalable, production-ready ML and generative AI solutions using Databricks and the full power of data lakehouse architecture. Author Bennie Haelen draws on deep enterprise experience across healthcare, energy, and finance to guide you through deploying, tuning, and governing models on Databricks. You’ll learn to combine traditional ML with LLMs, control costs using open source models, and apply best practices that hold up in production. Whether you are training your first Scikit-learn model on Databricks, building a Retrieval-Augmented Generation (RAG) pipeline, orchestrating multiagent workflows, or designing the integration layer that connects your language models to enterprise data systems through the Model Context Protocol (MCP), this book covers the full spectrum. The goal is to give you both the conceptual grounding and the practical, hands-on knowledge to move confidently across all of it. Readers will get the most out of this book if they have a working familiarity with Python and some exposure to data concepts such as tables, schemas, and SQL.
Genre: Non-Fiction > Tech & Devices
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