Good general info but a bit basic for anyone who has already worked within the modelling pipeline. Nevertheless, Andrew is a great teacher and I did learn some new concepts and things to think about.

I like the acknowledgement of the importance of data quality. Machine learning is much more than just training models. Real benefits can only be achieved when moving to real life data

Very well explained. However, I feel that problems related to structured data are underrepresented though being extremely relevant for business in an enterprise context.

Theoretically worth watching... but lack off hands-on excercises.... It would be more helpfull if there were any open sourse tools thought in the course...

The methods are generally helpful. I would have liked more overview of available paid and open source tools, even if no specific recommendations are made.

Ecellent course. Although very focused on unstructured data and deep learning, so if you are from a structured data background, you might feel left out.

I​ntroduction to MLOps of deeplearning.ai, the course is a very good introduction and overview (even though no IT skills are learned at this point)

T​he course was very nice though for a Course that is part of a Specialization Course I found it to be too basic, even for an introduction.

T​he concepts covered were really usefull and informative. But it could have been a chapter in a course rather than course in itself.

It's great course for you learning about the process build model and problem that your model was created for its.

Too much story. It would be really great to see some codes and practical visual examples on real world issues.

It's better the course has some coding assignments to comprehend the ideas which is shared by Prof. Ng.

The quizzes are meaningless, often ambiguous and the answers sometimes wrong. The videos are useful.

Some project plan / exercise / case study to be solved would have added more to the experience

Maybe too basics for experienced folks. If you are the beginer this is a good class to take :)

Worked well in shifting the view from modelling into data. Worthwhile for that reason along.

S​o far this course has been pretty great. Nifty Labs with a lot of useful info and methods.

Quite basic, but still useful introduction to following courses of the specialization

Useful course for understanding how ML works in production in an iterative approach.

Very comprenshive course summarizes the concept of Data-centric approach in MLOps

T​his course was very useful on planning ml model deployment lifecycle!

Very interesting, a lot of new little concepts. I enjoy Andrew's tips.

Really clear explanation about foundamentals of ML in real world

Great course for establishing real Machine Learning projects

It's a great introduction course. But excessively easy.