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

The content is great, but it could be condensed a lot!

G​ood intro course on machine learning for production

Learn some additional information Mlop

Would be great if comes with more labs

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

Great, but needs more content !

use a more hands on approach.

build foundations for MLOPs

Good foundational course

Amazing intro course

Great introduction!

light but usefull

Excellent course

Ernesto Anaya

Good intro but it looks like in other courses from deeplearning.ai, while they teach you something, they also try to "sell" people a specific framework. In this case, they seem to be selling TFX. I still recall how they sold people the Trax library in the NLP specialization which has replaced Trax with huggingface. I take what is useful from these courses but I distrust their agenda.

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.

boring and kind of wasting time. I mean, learning course 2-4 is enough ,why there is an extra "outline" course here? Also, the content is a duplication with Andrew's other courses in coursara.