The whole process of building the Kubeflow pipelines for MLOPs including the configuration part (what does into the Dockerfile, cloud build) has been explained fully.
Thank You , Coursera & Google, It was great session & learn some practical Aspects & fundamentals of ML. I hope it will help me in the future. Thank You.
автор: Kwodwo G•
The Labs took a lot of the promise the course had. It was a good time overall. Learnt a lot that requires further attention.
автор: Ефим Л•
Lab infrastructure doesn't work. For example, folders "mlops-on-gcp" was hidden. So, I can't touch labs properly :(
автор: Alexander R•
Some of the labs works only with out of course workarounds, the course needs updating.
автор: Mano M•
Good but in lastest lab on chapter3 should work with git also.
автор: Arnaldo M•
The structure and sequencing of this course is not clear
Hard to follow
Assigment is not actually interesting
автор: Francisco L M•
Algunos laboratorios no funcionan adecuadamente
автор: Abd-El-Rahman A•
there was a lot of bugs in this course
автор: Holger H•
The labs did not make any sense for me
автор: suppakarn w•
The last lab has too many error
автор: Saeed R•
Good material but buggy labs
автор: Asha Y L•
It was gud
автор: Zach T•
Course focuses entirely too much on Google's managed offerings, many of which are still in Beta. The course could significantly be improved by focusing on foundational knowledge such as deeper dives into containers, CI/CD processes, and should add a DataOps component which is completely skipped over.
автор: shweta k•
Lectures about theory concepts were good but should have also explained hands-on part. And qwicklabs sucked. Had high expectations from this course but it turned out to be very disappointing.
автор: Hyunkil K•
so duplicated, poor lab
автор: Imam S 0•
автор: Nils B•
Cannot complete the course because the last lab requires you to create a git fork using the qwiklab account, but there is no way to receive the verification email on the account, which results in in inability to complete the course.
Also, every lab takes 15 minutes of loading time to even start which wastes a lot of time.
автор: Rowen R•
When you have issues working out instructions and need help, The Tech Support is slow getting back to you, there's too many of them messaging you asking the same question about your problems. Plus the Instructions are poorly delivered which sets in a lot of confusion.
автор: Sunilkumar G•
Bad lab experience needs to give more precise information as it is taking too long to find small details and improper explanation of what is expected from the Learners. Hope that the improvements are made to ease the learning experience of future learners.
Certain qwiklabs are not working and response from help desk states the problem is being addressed which has been over 3 weeks ago; no status as of yet.
автор: Yannick P•
You should really give simpler examples