Chevron Left
Back to Python Essentials for MLOps

Learner Reviews & Feedback for Python Essentials for MLOps by Duke University

4.2
stars
354 ratings

About the 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....

Top reviews

VG

Sep 23, 2025

This was a nice course. As it was a Python Course, hopefully I will learn more about MLOps in next course. Thank you sir for great teaching.

KC

Aug 21, 2024

The Courser covered a lot of things with keeping the number of videos low, but python environments in some of the labs were not already created.

Filter by:

76 - 82 of 82 Reviews for Python Essentials for MLOps

By Maximiliano e p

•

Mar 16, 2026

Lots of summary readings + summary videos which cannot be skipped. Unnecessary basic concepts. Chapters 1, 2 and 3 shouldn't have been included. A course of 3hs would've been ok.

By Xindong W

•

Jan 3, 2026

Each module is too broad and therefore seems like unproductive

By Geronimo D

•

Dec 3, 2025

Course content is way too superficial to be of any use in a professional setting. Practice labs tend to repeat exactly what is showed during the videos and a great opportunity for "hands-on" learning is missed. Some of the quizzes question have weird options and they do not always address critical concepts learned during the course.

By Arun G

•

Jan 31, 2025

Very poor way of explaining the topics, and half the time the person is confused. It looks like the course was made in a hurry and just uploaded, lacks quality in teaching. No proper labs to practice.

By Anna P

•

Oct 27, 2024

total waste of time/money. no labs, no hands work, quizzes "ahaha guess what is in my mind" learning materials are just reading out loud some basics from documentation. do not take this course!

By Dan H

•

Dec 17, 2024

One of the worst python courses I've taken

By Himansu s p

•

Mar 9, 2026

great