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Python Essentials for MLOps

Python Essentials for MLOps (Machine Learning Operations) is a course designed to provide learners with the fundamental Python skills needed to succeed in an...

By Noah Gift on Coursera

About This Course

Python Essentials for MLOps (Machine Learning Operations) is a course designed to provide learners with the fundamental Python skills needed to succeed in an MLOps role. This course covers the basics of the Python programming language, including data types, functions, modules and testing techniques. It also covers how to work effectively with data sets and other data science tasks with Pandas and NumPy. Through a series of hands-on exercises, learners will gain practical experience working with Python in the context of an MLOps workflow. By the end of the course, learners will have the necessary skills to write Python scripts for automating common MLOps tasks. This course is ideal for anyone looking to break into the field of MLOps or for experienced MLOps professionals who want to improve their Python skills.

Topics Covered

Frequently Asked Questions

How much does Python Essentials for MLOps cost?

Visit the Python Essentials for MLOps course page for current pricing and available discounts.

Who teaches Python Essentials for MLOps?

Python Essentials for MLOps is taught by Noah Gift, Duke University.

What skill level is Python Essentials for MLOps for?

This course is designed for beginner learners.

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Students0
Duration6 hours
LevelBeginner
Languageen
PlatformCoursera
InstructorNoah Gift