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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.
XH
Aug 15, 2024
This course was great and highly applicable to my work. The content was relevant, well-structured, and provided practical skills that I can directly use in my job.
26 - Python Essentials for MLOps ē 50 äøŖčÆč®ŗļ¼å ± 74 äøŖļ¼
å建č Nicole D
ā¢Aug 22, 2024
Great learning resources, concise presentations, and clear explanations of all topics
å建č Adedoyin
ā¢Nov 14, 2025
One of the best of the best courses out there for beginner's friendly to MLOps!
å建č Gary S
ā¢Apr 30, 2024
I liked the opportunity to practice and experiment and challenge questions
å建č K P
ā¢Aug 17, 2024
Very informative however I am having some experinence with Python already
å建č Oscar C
ā¢Jan 21, 2025
A good course suggested for junior engineers and data scientist
å建č Jay Y
ā¢Aug 13, 2023
Good intro and refresher, good pace and well presented
å建č Fathi Z
ā¢Sep 21, 2025
Alfredo Deza was amazing, he is really a good teacher
å建č Tharun k G
ā¢May 9, 2024
Exactly what I was looking for, Thanks a lot!
å建č Aditya D
ā¢May 25, 2024
Good course for getting started in ML OPS
å建č Mary R
ā¢Apr 30, 2025
good an excellent way of learning
å建č Kasthuriraajan R
ā¢Mar 3, 2023
It is very helpful to me .
å建č James E V
ā¢Jul 23, 2023
Amazing course! thank you
å建č Vania G
ā¢Aug 20, 2024
completo y satisfactorio
å建č Mahesh S
ā¢Jun 8, 2025
It's a good course
å建č Girish C S
ā¢Dec 10, 2024
Very good content
å建č Adham E
ā¢Jul 23, 2025
excellent course
å建č Cristian F
ā¢Oct 30, 2025
Like it a lot
å建č Abdul J
ā¢Aug 8, 2023
Best n all
å建č Takahide M
ā¢Feb 10, 2025
very good
å建č YUQIN L
ā¢Aug 18, 2024
Gracias!
å建č Pradeep
ā¢Jan 4, 2024
its good
å建č uuTeam
ā¢Jun 3, 2023
Amazing
å建č Deepika M S
ā¢Jan 1, 2025
good
å建č Vaishnavi K
ā¢Apr 21, 2024
good
å建č Ricardo B P
ā¢Nov 17, 2025
I appreciated the "Python Essentials for MLOps" course overall. However, I found that Module 5 - Applied Python for MLOps did not align well with the content of the previous four modules. Additionally, the Automation with Python assignment seemed disconnected from the lessons taught in the course. I recommend a review of Module 5 to ensure its content is more cohesive with the other modules and to enhance the relevance of the assignments. This adjustment could significantly improve the learning experience for future participants.