Shell Scripting for AI & ML Engineers: Automate, Scale, and Productionize Machine Learning Workloads (Data Science, ML, GenAI & Agentic AI) - Tapa blanda

Sinopsis

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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