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.
Automate Cloud Workflows with Python Scripting
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Automate Cloud Workflows with Python Scripting
This course is part of LLM Optimization & Evaluation Specialization
Instructor: LearningMate
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Intermediate level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Create automated Python scripts to manage multi-step cloud workflows, from provisioning resources to persisting data.
Skills you'll gain
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Recently updated!
December 2025
Taught in English
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This course is part of the LLM Optimization & Evaluation Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There is 1 module in this course
In this module, you will learn the essential skills to automate cloud tasks using Python. We will cover the entire automation lifecycle, from understanding the high cost of manual work to writing a configurable, end-to-end script that can provision resources, execute a task, and reliably manage data by saving it to persistent storage.
What's included
3 videos2 readings2 assignments1 ungraded lab
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