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

131 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


Jan 9, 2024

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


Apr 29, 2024

I liked the opportunity to practice and experiment and challenge questions

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1 - 25 of 30 Reviews for Python Essentials for MLOps

By Georgi K

Oct 29, 2023

As someone who has subscribed to the entire specialization on “MLOps” marked at “Advanced level” I think it is ridiculous to begin with an explanation of python variables, loops, conditions, functions and classes. This whole course feels like a reach for content for the entire specialization. Easy topics like creating a venv are explained multiple times, but there was not even a sentence on the max_length argument for one of the tokenizers used later on in the course. Week 5 was a complete mess with different topics explained seemingly out of nowhere with no clear connection to each other. The flask and fastapi videos were good but very shallow. Even worse, week 5 sections 2 and 3 use the exact same video as introduction and recap which is just lazy work in my book. I am hopeful the remaining 3 courses will be better but unless required to take this course for the entire specialization, don’t waste your time with it.

By Biju K

May 26, 2023

Well structured course and nicely presented by Alfredo. Some suggestions for improvement -> The labs could be made into small tasks which participants will try to fulfill followed by a lecture on the solution. Zooming the video while explaining some of the code examples would enhance the experience.

By Sourabh Z

Aug 13, 2023

Was very unclear what is being done, how is it being done and why. The resources such as the notebooks that the instructors were using are not available or pointed to. Could not follow the course properly.

By Mohammed S

Jun 18, 2023

It shows a variety of tools to build useful things like CLI applications, APIs and some Azure cloud

however none of things in this course was explained in detail

Overall, with some googling it was a great course.

By ArSlan M

Sep 13, 2023

It is very good for those getting into the field of MLOps

By Eduardo A C N

Jan 30, 2024

Quick review of important libraries. Great explanations.

By Jesse R

Jul 7, 2023

The course gives you a good direction. But sometimes is complicated to get in the flow, let's say. The teacher has great intention, but he gets lost sometimes.

By Mark A

May 1, 2023

not in depth enough.

By Ricardo V H

Sep 18, 2023

It is an excellent and well-explained course in most topics; the last week could dive a little more into the topics it explained but is ok for an overall explanation.

By Robin K

Jan 10, 2024

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

By Gary S

Apr 30, 2024

I liked the opportunity to practice and experiment and challenge questions

By Jay Y

Aug 13, 2023

Good intro and refresher, good pace and well presented

By Tharun k G

May 9, 2024

Exactly what I was looking for, Thanks a lot!

By Kasthuriraajan R

Mar 4, 2023

It is very helpful to me .

By James E V

Jul 23, 2023

Amazing course! thank you

By Hadir A G C

Nov 12, 2023

It's a basic course

By Abdul J

Aug 8, 2023

Best n all

By Pradeep

Jan 4, 2024

its good

By uuTeam

Jun 3, 2023


By Vaishnavi K

Apr 21, 2024


By Claudius S

Oct 20, 2023

A fast-paced overview over Python fundamentals with ML in mind. Hardly anything practical, so most suited for people who want to get a refresher or already know the core principles and want to transfer their knowledge to how it is done in the Python world.

By Marcela H B

Jun 9, 2023

One of the best Python courses that I had done, my background is in Data Science not in Engineering. I think that is an advance course since a vast number of concepts are well explained so quickly.

By Julian G C M

Apr 2, 2024

It is a good introductory course to the topic of mlops, although in the last week it is a bit dense since there are topics such as FASTAPI or FLASK or DOCKER, which require prior knowledge


Jun 13, 2023

Some more advanced Python (Flask, FastAPI, Azure, etc.) could have been explained in more depth and detail with practical labs.

By Victoria R M C

Mar 31, 2024

Me parecio super enriquecedor el contenido del curso.