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Frahaan Hussain
ML Ops on Azure: From Models to Production
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7530102ML Ops on Azure: From Models to Productionhttps://www.gandhi.com.mx/ml-ops-on-azure--from-models-to-production-9798231487691/phttps://gandhi.vtexassets.com/arquivos/ids/7150323/image.jpg?v=638833651261170000193193MXNGandhiInStock/Ebooks/<p>ML Ops on Azure: From Models to Production delivers a comprehensive, hands-on roadmap for mastering machine learning operations (MLOps) using Microsoft Azure. Designed for ML engineers, data scientists, and cloud architects, this guide takes readers beyond experimentation to fully operationalizing machine learning workflows.</p><p>With the rapid growth of AI in enterprise environments, deploying models at scale is no longer optionalits essential. This book provides an in-depth look at the key components of MLOps within the Azure ecosystem, including Azure Machine Learning, DevOps integration, automated pipelines, version control, model monitoring, and governance.</p><p>Starting with foundational concepts, readers will learn how to structure reproducible ML workflows, collaborate efficiently across teams, and implement continuous integration and continuous delivery (CI/CD) pipelines for model training and deployment. Real-world use cases, diagrams, and code examples provide clarity and actionable insights throughout the book.</p><p>Key features include:</p><p>Step-by-step implementation of MLOps using Azure ML</p><p>Building and automating ML pipelines</p><p>Versioning data, code, and models</p><p>Integrating GitHub Actions and Azure DevOps</p><p>Monitoring model performance and managing drift</p><p>Ensuring compliance and governance at scale</p><p>Whether youre transitioning from Jupyter notebooks to enterprise-grade systems or seeking to streamline existing ML operations, this book equips you with the tools and knowledge to build scalable, secure, and maintainable AI solutions on Azure.</p><p>Take your models from concept to production with confidenceand unlock the full potential of MLOps in the cloud.</p>...7149143ML Ops on Azure: From Models to Production193193https://www.gandhi.com.mx/ml-ops-on-azure--from-models-to-production-9798231487691/phttps://gandhi.vtexassets.com/arquivos/ids/7150323/image.jpg?v=638833651261170000InStockMXN99999DIEbook20259798231487691_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9798231487691_<p>ML Ops on Azure: From Models to Production delivers a comprehensive, hands-on roadmap for mastering machine learning operations (MLOps) using Microsoft Azure. Designed for ML engineers, data scientists, and cloud architects, this guide takes readers beyond experimentation to fully operationalizing machine learning workflows.</p><p>With the rapid growth of AI in enterprise environments, deploying models at scale is no longer optionalits essential. This book provides an in-depth look at the key components of MLOps within the Azure ecosystem, including Azure Machine Learning, DevOps integration, automated pipelines, version control, model monitoring, and governance.</p><p>Starting with foundational concepts, readers will learn how to structure reproducible ML workflows, collaborate efficiently across teams, and implement continuous integration and continuous delivery (CI/CD) pipelines for model training and deployment. Real-world use cases, diagrams, and code examples provide clarity and actionable insights throughout the book.</p><p>Key features include:</p><p>Step-by-step implementation of MLOps using Azure ML</p><p>Building and automating ML pipelines</p><p>Versioning data, code, and models</p><p>Integrating GitHub Actions and Azure DevOps</p><p>Monitoring model performance and managing drift</p><p>Ensuring compliance and governance at scale</p><p>Whether youre transitioning from Jupyter notebooks to enterprise-grade systems or seeking to streamline existing ML operations, this book equips you with the tools and knowledge to build scalable, secure, and maintainable AI solutions on Azure.</p><p>Take your models from concept to production with confidenceand unlock the full potential of MLOps in the cloud.</p>...9798231487691_Kameron Hussainlibro_electonico_9798231487691_9798231487691Frahaan HussainInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/draft2digital_ipp-epub-4b99337e-c41e-4f6a-9959-4ab37fd75a41.epub2025-05-19T00:00:00+00:00Kameron Hussain