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Automate Cloud Workflows with Python Scripting

本课程是 LLM Optimization & Evaluation 专项课程的一部分

位教师：LearningMate

包含在中

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1个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

1 小时完成

灵活的计划

自行安排学习进度

1个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

1 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Create automated Python scripts to manage multi-step cloud workflows, from provisioning resources to persisting data.

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 LLM Optimization & Evaluation 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

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该课程共有1个模块

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.

单元详情

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.