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.

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.

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.

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.

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

G​ood overview of best practises, but still a bit too general and non-technical.

It seemed a little too general. I would've liked more labs.

Much more a high level course respect to what i expected