Overview

Master the complete lifecycle of Machine Learning operations with practical MLOps techniques and modern AI deployment strategies. MLOps is a comprehensive guide designed for students, developers, researchers, and AI enthusiasts who want to understand how machine learning models are developed, deployed, monitored, and maintained in real-world environments. This book explains the integration of Machine Learning, DevOps, and Data Engineering practices to build scalable, reliable, and production-ready AI systems. Readers will explore the complete MLOps pipeline, from data preparation and model training to deployment, automation, monitoring, and continuous improvement. Inside This Book: Perfect For: This book provides a practical and industry-oriented approach to understanding MLOps, helping readers build modern, scalable, and efficient machine learning solutions for real-world applications.

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