Shell Scripting for AI & ML Engineers: Automate, Scale, and Productionize Machine Learning Workloads

By DILIP KUMAR MONDAL

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 scriptingBuild and manage data pipelines for scalable AI solutionsIntegrate shell scripts with cloud services and DevOps toolsImplement CI/CD pipelines for machine learning modelsMonitor, debug, and optimize AI workloads in productionApply 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.

• Format: Paperback
• Language: English
• ISBN: B0GZDH46PM
• ISBN13: 9798195187453
• Release Date: May 2026
• Publisher: Independently Published
• Length: 180 Pages
• Weight: 0.95 lbs.
• Dimensions: 0.4" x 8.5" x 11.0"