Overview

In today's fast-evolving AI landscape, automation is no longer optional-it is essential. Shell Scripting for MLOps & AI Platforms equips engineers, architects, and DevOps professionals with the practical skills needed to automate, manage, and scale modern AI/ML systems with confidence. This book bridges the gap between traditional scripting and cutting-edge MLOps practices. It demonstrates how simple yet powerful shell scripts can orchestrate complex workflows-from data ingestion and model training to deployment, monitoring, and lifecycle management. Through hands-on examples and real-world use cases, you will learn how to streamline AI pipelines across cloud platforms such as AWS, Azure, and Google Cloud. The book emphasizes reproducibility, efficiency, and reliability-key principles for building production-grade AI systems. What You Will Learn: Automate end-to-end MLOps workflows using shell scripting Build and manage data pipelines for scalable AI solutions Integrate shell scripts with cloud services and DevOps tools Implement CI/CD pipelines for machine learning models Monitor, debug, and optimize AI workloads in production Apply security and governance best practices in MLOps Who This Book Is For: This book is ideal for DevOps engineers, cloud architects, SREs, ML engineers, and anyone looking to simplify and accelerate AI platform operations through scripting.

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