really a great course. It'll really change your way of thinking ML in production use and will help you better understand how can you leverage the power of ML in a way that I'll really create a value
Excellent course, as always. Very well explain for both Data Sicientist, Software engineer and Manager (with some basics undertsanding of ML). One of these courses that Data Sientist should follow.
by Christian K•
The content is great, but it could be condensed a lot!
by Sudip C M•
Good intro course on machine learning for production
by Timothy G•
Learn some additional information Mlop
Would be great if comes with more labs
It's cool, but it isn't for begginer
by Simon A•
Great, but needs more content !
by Maria E•
use a more hands on approach.
by Mayank A•
build foundations for MLOPs
by Arman S•
Good foundational course
by yeison d•
Amazing intro course
by Javier P O•
light but usefull
by shushanta p•
by Ernesto A•
by Enrique C•
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.
by Diego L•
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.
by jitao f•
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.
by Kenan M•
Consice and Vocational , especial to those working on unstructured data. I enjoyed it. Thanks
by Ravi A•
Good overview of best practises, but still a bit too general and non-technical.
by Matthew A•
It seemed a little too general. I would've liked more labs.
by diego p•
Much more a high level course respect to what i expected
by Kiran R•
very boring and should not be part of specialization
by Leandro K d O•
I wish we had more practical exercises
by SRIKANTH M•
its very good experience