Learner Reviews & Feedback for Python Essentials for MLOps by Duke University
About the Course
Top reviews
VK
Aug 28, 2025
Overall a very good course. I had some prior experience with the subject, but this course helped me organize my knowledge better and approach the topics from a fresh perspective.
EN
Jan 29, 2024
Quick review of important libraries. Great explanations.
26 - 50 of 69 Reviews for Python Essentials for MLOps
By Nicole D
•Aug 22, 2024
Great learning resources, concise presentations, and clear explanations of all topics
By Gary S
•Apr 30, 2024
I liked the opportunity to practice and experiment and challenge questions
By K P
•Aug 17, 2024
Very informative however I am having some experinence with Python already
By Oscar C
•Jan 21, 2025
A good course suggested for junior engineers and data scientist
By Jay Y
•Aug 13, 2023
Good intro and refresher, good pace and well presented
By Fathi Z
•Sep 21, 2025
Alfredo Deza was amazing, he is really a good teacher
By Tharun k G
•May 9, 2024
Exactly what I was looking for, Thanks a lot!
By Aditya D
•May 25, 2024
Good course for getting started in ML OPS
By Mary R
•Apr 30, 2025
good an excellent way of learning
By Kasthuriraajan R
•Mar 4, 2023
It is very helpful to me .
By James E V
•Jul 23, 2023
Amazing course! thank you
By Vania G
•Aug 20, 2024
completo y satisfactorio
By Mahesh S
•Jun 8, 2025
It's a good course
By Girish C S
•Dec 10, 2024
Very good content
By Adham E
•Jul 23, 2025
excellent course
By Abdul J
•Aug 8, 2023
Best n all
By Takahide M
•Feb 10, 2025
very good
By YUQIN L
•Aug 18, 2024
Gracias!
By Pradeep
•Jan 4, 2024
its good
By uuTeam
•Jun 3, 2023
Amazing
By Deepika M S
•Jan 2, 2025
good
By Vaishnavi K
•Apr 21, 2024
good
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 Jesse R
•Jan 21, 2025
I really enjoyed the technical depth this course. However, the labs at the end are too vague and I need concrete examples to work with. Perhaps use the examples introduced through each module and have students access sandboxes earlier on.
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.