Machine Learning in Production: 10 End-to-End Projects with MLOps and DevOps

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Language

English

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Textbook

Published

June 23, 2025

Synopsis

"Machine Learning in Production: 10 End-to-End Projects with MLOps and DevOps" by Vikram Singh Sankhala offers a comprehensive, hands-on guide for anyone looking to master the complexities of deploying and managing machine learning models in real-world environments. Moving beyond theoretical concepts, this book presents ten diverse, practical projects across various domains—from e-commerce and healthcare to IoT and finance—each meticulously detailed with step-by-step implementation guides. Readers will learn to build complete ML pipelines, encompassing data versioning, model training, containerization, deployment, monitoring, and automation, using industry-standard tools and best practices.

About the Author

VSS

Vikram Singh Sankhala

Vikram Singh Sankhala is a seasoned practitioner and educator with extensive experience in designing, building, and deploying robust machine learning systems. He specializes in integrating cutting-edge MLOps, DevOps, and CI/CD practices to bridge the gap between model development and scalable production environments. With a passion for hands-on learning and empowering the next generation of AI professionals, Vikram focuses on practical, project-based approaches that equip readers with the real-world skills needed to succeed in the dynamic field of machine learning operations.

Machine Learning in Production: 10 End-to-End Projects with MLOps and DevOps

Synopsis

About the Author

Vikram Singh Sankhala

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