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The MLOps Blueprint: Build Reliable Machine Learning Systems That Scale, Monitor, and Deliver Real Business Value. - Softcover
Synopsis
The MLOps Blueprint: Build Reliable Machine Learning Systems That Scale, Monitor, and Deliver Real Business Value
Can your machine learning models survive the real world?
Most AI systems never make it past the prototype phase, not because the algorithms fail, but because the infrastructure around them does. From unreliable data pipelines to broken deployments and unseen model drift, the gap between an experiment and a production system is where most ML efforts collapse.
The MLOps Blueprint is your complete, hands-on guide to bridging that gap. Written for engineers, data scientists, and technical leaders, this book delivers a clear, practical framework for designing, automating, and maintaining production-grade machine learning systems. It combines proven industry practices, step-by-step workflows, and real-world architectures that leading organizations use to scale AI safely and efficiently.
Inside, you’ll learn how to:
- Build production-ready ML pipelines with reproducible data, code, and model versioning.
- Automate model training, testing, and deployment using robust CI/CD and continuous training (CT) frameworks.
- Deploy models with confidence using canary releases, blue-green deployments, and automated rollback mechanisms.
- Monitor models in production for performance, data drift, and fairness, all while linking metrics directly to business KPIs.
- Establish MLOps governance through traceability, compliance documentation, and secure access controls.
- Design scalable architectures that balance cost, latency, and reliability across cloud, on-prem, and edge environments.
If you’ve ever struggled to answer questions like “Can we reproduce this model?” or “How do we measure business ROI from our ML system?” this book provides the roadmap you need.
Turn your models into measurable, reliable value. Start building scalable, production-grade AI systems today with The MLOps Blueprint.
"synopsis" may belong to another edition of this title.
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Paperback. Condition: new. Paperback. The MLOps Blueprint: Build Reliable Machine Learning Systems That Scale, Monitor, and Deliver Real Business ValueCan your machine learning models survive the real world?Most AI systems never make it past the prototype phase, not because the algorithms fail, but because the infrastructure around them does. From unreliable data pipelines to broken deployments and unseen model drift, the gap between an experiment and a production system is where most ML efforts collapse.The MLOps Blueprint is your complete, hands-on guide to bridging that gap. Written for engineers, data scientists, and technical leaders, this book delivers a clear, practical framework for designing, automating, and maintaining production-grade machine learning systems. It combines proven industry practices, step-by-step workflows, and real-world architectures that leading organizations use to scale AI safely and efficiently.Inside, you'll learn how to: Build production-ready ML pipelines with reproducible data, code, and model versioning.Automate model training, testing, and deployment using robust CI/CD and continuous training (CT) frameworks.Deploy models with confidence using canary releases, blue-green deployments, and automated rollback mechanisms.Monitor models in production for performance, data drift, and fairness, all while linking metrics directly to business KPIs.Establish MLOps governance through traceability, compliance documentation, and secure access controls.Design scalable architectures that balance cost, latency, and reliability across cloud, on-prem, and edge environments.Whether you're building your first ML platform or optimizing an existing workflow, The MLOps Blueprint gives you the practical tools and patterns to transform experimentation into impact. Each chapter is structured for immediate implementation, complete with runbooks, checklists, and code-driven solutions that minimize risk and accelerate delivery.If you've ever struggled to answer questions like "Can we reproduce this model?" or "How do we measure business ROI from our ML system?" this book provides the roadmap you need.Turn your models into measurable, reliable value. Start building scalable, production-grade AI systems today with The MLOps Blueprint. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798272501400
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The MLOps Blueprint (Paperback)
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Paperback. Condition: new. Paperback. The MLOps Blueprint: Build Reliable Machine Learning Systems That Scale, Monitor, and Deliver Real Business ValueCan your machine learning models survive the real world?Most AI systems never make it past the prototype phase, not because the algorithms fail, but because the infrastructure around them does. From unreliable data pipelines to broken deployments and unseen model drift, the gap between an experiment and a production system is where most ML efforts collapse.The MLOps Blueprint is your complete, hands-on guide to bridging that gap. Written for engineers, data scientists, and technical leaders, this book delivers a clear, practical framework for designing, automating, and maintaining production-grade machine learning systems. It combines proven industry practices, step-by-step workflows, and real-world architectures that leading organizations use to scale AI safely and efficiently.Inside, you'll learn how to: Build production-ready ML pipelines with reproducible data, code, and model versioning.Automate model training, testing, and deployment using robust CI/CD and continuous training (CT) frameworks.Deploy models with confidence using canary releases, blue-green deployments, and automated rollback mechanisms.Monitor models in production for performance, data drift, and fairness, all while linking metrics directly to business KPIs.Establish MLOps governance through traceability, compliance documentation, and secure access controls.Design scalable architectures that balance cost, latency, and reliability across cloud, on-prem, and edge environments.Whether you're building your first ML platform or optimizing an existing workflow, The MLOps Blueprint gives you the practical tools and patterns to transform experimentation into impact. Each chapter is structured for immediate implementation, complete with runbooks, checklists, and code-driven solutions that minimize risk and accelerate delivery.If you've ever struggled to answer questions like "Can we reproduce this model?" or "How do we measure business ROI from our ML system?" this book provides the roadmap you need.Turn your models into measurable, reliable value. Start building scalable, production-grade AI systems today with The MLOps Blueprint. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798272501400
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