AM
11. März 2021
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.
DM
1. Feb. 2021
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.
von Serhiy P
•23. Feb. 2021
Even though class was taught by instructors from Google, the quality of tech around it was not Google-like. The labs in two week have serious issues once the pre-requisite steps are complete and experimental/fun//learning part of the lab begins.
von thibault b
•9. Feb. 2021
Donne une bonne vue théorique du MLOps sur GCP mais la pratique est moyenne. Il manque un réel cas d'étude pour solidifier les acquis.
von Abo Y
•11. Juni 2021
good content, but labs tend. To fail and debugging/support is not fantastic, forums dont have so. Many posts to support Either.
von Kwodwo G
•21. Jan. 2021
The Labs took a lot of the promise the course had. It was a good time overall. Learnt a lot that requires further attention.
von Efim L
•10. März 2021
Lab infrastructure doesn't work. For example, folders "mlops-on-gcp" was hidden. So, I can't touch labs properly :(
von Alexander R
•26. Mai 2021
Some of the labs works only with out of course workarounds, the course needs updating.
von Mano M
•9. Feb. 2021
Good but in lastest lab on chapter3 should work with git also.
von Arnaldo M
•26. Jan. 2021
The structure and sequencing of this course is not clear
von simon
•21. Juli 2021
Hard to follow
Assigment is not actually interesting
von Francisco L M
•27. Mai 2021
Algunos laboratorios no funcionan adecuadamente
von Abd-El-Rahman A
•5. Juni 2021
there was a lot of bugs in this course
von Holger H
•29. März 2021
The labs did not make any sense for me
von suppakarn w
•5. Juli 2021
The last lab has too many error
von Saeed R
•26. Aug. 2021
Good material but buggy labs
von Asha Y L
•29. Jan. 2021
It was gud
von SULABHA J P
•21. Juli 2022
good
von Yağızhan A A
•7. Feb. 2022
Videos are nice and good for learning new perspectives but there is a huge problem in this course. Labs (required to complete if you want certificate) are bugy and for example i need to wait for one lab problem to be solved if i want my certificate (which is going on for more than 2 weeks as i can see in forums). Overall, good quality videos but unexpectedly very poor technical management.
von Zach T
•15. Feb. 2021
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.
von shweta k
•1. Feb. 2021
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.
von Hyunkil K
•2. Nov. 2021
so duplicated, poor lab
von Imam S 0
•21. Dez. 2021
ok
von Nils B
•28. Jan. 2021
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.
von Rowen R
•31. Jan. 2021
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.
von Sunilkumar G
•21. Jan. 2021
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.
von Joaquin S
•2. Aug. 2022
Some labs are "unavaibale" in the Quicklabs portal. For example, in one Lab the portal says "Sorry, Using custom containers with AI Platform Training is currently unavailable"