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

4.2
stars
228 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 ide...
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Top reviews

HH

Feb 4, 2025

Python best practices across development, testing & wrapping using API was well covered. Lectures on Python API frameworks can be more in detail.

RK

Jan 9, 2024

Amazing, if you have some python basics, but even if you don´t it gives a great overview. Well done :)

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51 - 60 of 60 Reviews for Python Essentials for MLOps

By marco m y p

Oct 4, 2023

This course provides a good overview of toolset and techniques involved for building machine learning applications. I enjoyed the most, when several methods where presented for the same goal. It is up to the engineer to decide for the approach that works best for him.

By Perikles R

May 30, 2024

A rich enough course, but a bit unpolished. The labs are often either missing or not connected to the syllabus, there are topics assumed known (e.g. Containers and Docker) and there are minimal instructions for the labs. A lot of potential, but some polishing needed.

By Siarhei Z

Jan 31, 2025

A poorly designed course. All information is very brief and not a lot of well-guided hands-on exercises. It would be much better to provide coding assignments instead of quizzes.

By Andreas J

Sep 20, 2024

Module 5 feels random and out of structure. Weak instructor without teaching experience.

By Aku K

May 24, 2024

More exercises involving coding would be nice

By John C

Jan 8, 2025

While there is some useful information in this course, it is buried in a huge amount of noise. The whole thing is poorly organized. Some material of marginal relevance is covered multiple times. (OK, I get how a makefile works. Again.) Other things are laughably out-of-scope or out-of-sequence. I don' think somebody half way through a course on machine learning operations needs to spend five minutes learning what a variable is. And many of the "lessons" literally consist of the instructor recording himself while hacking his way through improvised programming projects. For hours. My advice: don't waste your time. Maybe glean what topics are covered, and then try to learn them on your own. Virtually any technology mentioned in this course provides free tutorials that are better organized and more informative than what you will find here.

By Haendel M

Nov 29, 2024

Weeks 1, 2 and 4 are very basic topics and weeks 3 and 5 are explained with very little detail. Week 5 is very unorganised and such important topics are reduced to short videos without many examples and no labs to follow.

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