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MLOps with Databricks: Machine Learning and GenAI Applications End to End

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Livraison entre le Mercredi 9 septembre 2026 et le Jeudi 10 septembre 2026

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Marque : GENERIC
Vendu par HEAVENBOOKS.MA

MLOps engineers have to deal with a glut of tools and SaaS applications, not to mention technical debt clogging the system. Such complexity requires a comprehensive approach. The Databricks Platform provides all the critical components for end-to-end MLOps and LLMOps in one place. This exhaustive book shows you how to use Databricks to build and ma...

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Description produit

Marque
GENERIC
Titre
MLOps with Databricks: Machine Learning and GenAI Applications End to End
Éditeur
O'Reilly Media
Type de produit
paperback
Présentation du livre
paperback
Date de sortie
9/22/2026 12:00:00 AM
Langue d'origine
English
ISBN
4024167243
Nombre de pages
250 pages
Langue
English
Résumé
MLOps engineers have to deal with a glut of tools and SaaS applications, not to mention technical debt clogging the system. Such complexity requires a comprehensive approach. The Databricks Platform provides all the critical components for end-to-end MLOps and LLMOps in one place. This exhaustive book shows you how to use Databricks to build and manage a robust ML system that delivers on your business's needs.Maria Vechtomova guides you through MLOps principles and explains how Databricks handles the machine learning lifecycle holistically, from data preparation to model deployment and monitoring, and enables data engineers, data scientists, and MLOps engineers to collaborate seamlessly. To put all the pieces together, you'll navigate two ML projects: a real-time ML application and a RAG system that highlights LLM-specific Databricks features.Understand the Databricks components for MLOpsUnpack ML model serving architecturesTrack your machine learning experiments and register your modelsBuild an ML application that uses feature and model serving, and model serving with automatic feature lookupDeploy a real-time ML application and a RAG applicationUse Databricks to monitor ML applications for data and model drift Read more
Auteur
Maria Vechtomova
Date de parution
9/22/2026 12:00:00 AM