A lot of great production examples, labs and reviews but perhaps too many issues for a single course - however I understand that it was perhaps to provide an overview of the possibilities, a kind of "toolbox" for production ML.

It is very good course, gives good overview over large ML systems on cloud, a lot of examples from real implementations gives good understunding about problematics in projects realisations

I did not realize the many aspects to consider implementing a Production ML system. This course presents all of them and provides guidance for evaluating alternative

Very practical which was nice. Thank you for adding the Quicklabs that helped a lot.

It was bit hard course but lab work was great and learn many production level consideration for ml systems.

While most of the content is sufficiently informative for a course, the implementation itself has too many issues: wrong videos in some modules, errors in quizzes, and so on. Once they organize the material properly, this course can definitely be 5 stars.

Subscribing to this course only gives you option to run assignments on Qwik labs, and they're very poor for these kinds of assignments. You won't get any feedback on assignments anyway since there is no grader.

If you want to check out the material it's better to just clone training-data-analyst from github and do these assignments on GCP free tier.

excellent

Rich course, although a little tedious, the info is priceless almost all the time. good for consultation

much meatier of a course.

Very informative on production systems....

Thumbs Up@

very useful for consider data enigerring

This course reveals some practical techniques in Production Machine Learning Systems. I like the real world examples introduced in this course.

wow gcp michael feldman

Good

very good

Great Course

good

Good Job!!!!

아주 좋아요

Perfect for my study ML

ExCellEnT!!!

thank you!

I walk through the whole system for the entire process of ML so that I could get insights on the forest