It's cool, but it isn't for begginer

A lot of theory makes it boring :(.

Great, but needs more content !

use a more hands on approach.

Could've been more concise.

build foundations for MLOPs

Good foundational course

Amazing intro course

Great introduction!

light but usefull

Excellent course

Ernesto Anaya

...

It teaches a lot about the basics of ML in industrial production. I find there is a lack of lab work and real-world examples. The provided lab works do not go in-depth teaching the concepts discussed in the course. They seemed superficial. More graded quizzes are needed to test the pupils and make the courses more interactive.

The content of the course is really good and gives a great brief about MLOps. However, there are very few lab exercises and all of them are ungraded. Moreover, all the lab exercises are in Jupyter Notebook. This is still a good introductory course to MLOps

It is really a nice conversation with Andrew Ng over some problems that you face when you try to put model on production, define projects and manage it. But, the frameworks that he proposes are totally general and this course has technical debts.

I have worked in AI powered healthcare imaging industry for some years. Most of concept mentioned are our daily routaine. It is good to catch them up with constructed courses but I was expecting more juciy.

Consice and Vocational , especial to those working on unstructured data. I enjoyed it. Thanks

Prof. Ng is great as always, but the course is too shallow and the assessments too simple.

Weeks 2 and 3 were too much into theory. There wasn't much practice and application.

1) too shallow. 2) too many repeating content. Overall I don't feel very helpful

Much more a high level course respect to what i expected

very boring and should not be part of specialization

the course was full of videos without practice

I wish we had more practical exercises