Unlike pure technical courses, this one specially packs you with knowledge that you may find yourself face to. The course is really well designed and the content is crystal clear, just Awesome !
Excellent overview of designing real-world ML systems. Some of the labs are daunting, but the emphasis is showing you what can be achieved, rather than achieving mastery within the course.
par Gregory R G J•
par Clement M•
par Hua S•
par Kamlesh C•
par Kim J W•
par Alexander K•
par KAUSHIK G•
par Prasenjit P•
par KEERTHANA T•
par logu s•
par Lee M•
par Atichat P•
par Prof. R M B•
par Carlos V•
This Course has excellent explanations and advice on how to move your models into production and make sure they are reliables and don't lose accuracy over time. The course illustrates how to use the entire ecosystem on GCP that is impressive, quite happy with the explanation and the expert's advice.
par Bhargav D•
Some modules were amazing and deserved more than 5 stars, other were a little too much. Specifically, everything was great until Kubeflow which I felt was not covered well and the demo not one thing was clear. Very bad demo! Please restructure that demo
par Namita D•
The course provides insight into applying Machine Learning system in actual environment, with real-life examples and lab assistance.
par Renato C•
The content and instructors are great. However it shoud not be a two weeks course, as the amount of topics is large.
par Andrei L•
The course is good. but i would appreciate if it would give more details and more coding exercises
par Steven P G•
Es un curso algo confuso que requiere bastante tiempo para comprender las tematicas
par Mahmmoud M•
very very useful topics to improve and deploying machine learning for productions.
par Peng L•
Course is a bit outdated. E.g., KubeFlow section and references to ML Engine.
par Nikhileshkumar I•
Great. Ksonnet is not active. Vdo should talk about it.