Automate Cloud Workflows with Python

Automate Cloud Workflows with Python Scripting is an intermediate course designed for developers, ML engineers, and data scientists seeking to eliminate manual, error-prone cloud tasks. Modern ML workflows often involve multiple complex steps—provisioning a GPU, running a training job, and saving the model—all of which are inefficient to perform by hand. This course teaches you how to automate this entire process from end to end using Python. You will learn to write powerful scripts that programmatically manage cloud resources, execute multi-step computational jobs, and ensure data persistence. Through hands-on labs, you will master using Python’s argparse library to create flexible, reusable scripts configurable from the command line, and you’ll apply Infrastructure as Code (IaC) principles to build scalable, resilient, and cost-effective solutions. By the end of this course, you will be equipped to transform your manual cloud processes into robust, automated pipelines ready for production

• Create Python scripts to automate multi-step cloud workflows
• Write powerful scripts to manage cloud resources and execute computational jobs
• Ensure data persistence in cloud environments
• Master argparse for customizable command-line scripts
• Apply Infrastructure as Code principles for scalable solutions

• Basic programming knowledge and cloud terminology
• Readiness to engage in hands-on exercises