March 1, 2026
Hands-On MLOps on Azure Automate, secure, and scale ML workflows with the Azure ML CLI, GitHub, a…
Hands-On MLOps on Azure Automate, secure, and scale ML workflows with the Azure ML CLI, GitHub, and LLMOps (TrueRetail EPUB) | 7.07 MB
Title: Hands-On MLOps on Azure
Author: Banibrata De
Category: Nonfiction, Computers, Operating Systems, Windows, Application Software, Business Software, Programming, Software Development
Language: English | ISBN: 9781836200321
Description:
A practical guide to building, deploying, automating, monitoring, and scaling ML and LLM solutions in productionKey FeaturesBuild reproducible ML pipelines with Azure ML CLI and GitHub Actions
Automate ML workflows end to end, including deployment and monitoring
Apply LLMOps principles to deploy and manage generative AI responsibly across clouds
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionEffective machine learning (ML) now demands not just building models but deploying and managing them at scale. Written by a seasoned senior software engineer with high-level expertise in both MLOps and LLMOps, Hands-On MLOps on Azure equips ML practitioners, DevOps engineers, and cloud professionals with the skills to automate, monitor, and scale ML systems across environments.The book begins with MLOps fundamentals and their roots in DevOps, exploring training workflows, model versioning, and reproducibility using…
A practical guide to building, deploying, automating, monitoring, and scaling ML and LLM solutions in productionKey Features
Book DescriptionEffective machine learning (ML) now demands not just building models but deploying and managing them at scale. Written by a seasoned senior software engineer with high-level expertise in both MLOps and LLMOps, Hands-On MLOps on Azure equips ML practitioners, DevOps engineers, and cloud professionals with the skills to automate, monitor, and scale ML systems across environments.The book begins with MLOps fundamentals and their roots in DevOps, exploring training workflows, model versioning, and reproducibility using…
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