课程概述
热门审阅
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 的 50 个评论(共 74 个)
创建者 Nicole D
•Aug 22, 2024
Great learning resources, concise presentations, and clear explanations of all topics
创建者 Adedoyin
•Nov 14, 2025
One of the best of the best courses out there for beginner's friendly to MLOps!
创建者 Gary S
•Apr 30, 2024
I liked the opportunity to practice and experiment and challenge questions
创建者 K P
•Aug 17, 2024
Very informative however I am having some experinence with Python already
创建者 Oscar C
•Jan 21, 2025
A good course suggested for junior engineers and data scientist
创建者 Jay Y
•Aug 13, 2023
Good intro and refresher, good pace and well presented
创建者 Fathi Z
•Sep 21, 2025
Alfredo Deza was amazing, he is really a good teacher
创建者 Tharun k G
•May 9, 2024
Exactly what I was looking for, Thanks a lot!
创建者 Aditya D
•May 25, 2024
Good course for getting started in ML OPS
创建者 Mary R
•Apr 30, 2025
good an excellent way of learning
创建者 Kasthuriraajan R
•Mar 3, 2023
It is very helpful to me .
创建者 James E V
•Jul 23, 2023
Amazing course! thank you
创建者 Vania G
•Aug 20, 2024
completo y satisfactorio
创建者 Mahesh S
•Jun 8, 2025
It's a good course
创建者 Girish C S
•Dec 10, 2024
Very good content
创建者 Adham E
•Jul 23, 2025
excellent course
创建者 Cristian F
•Oct 30, 2025
Like it a lot
创建者 Abdul J
•Aug 8, 2023
Best n all
创建者 Takahide M
•Feb 10, 2025
very good
创建者 YUQIN L
•Aug 18, 2024
Gracias!
创建者 Pradeep
•Jan 4, 2024
its good
创建者 uuTeam
•Jun 3, 2023
Amazing
创建者 Deepika M S
•Jan 1, 2025
good
创建者 Vaishnavi K
•Apr 21, 2024
good
创建者 Ricardo B P
•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.