学生对 Google Cloud 提供的 Machine Learning Operations (MLOps): Getting Started 的评价和反馈
课程概述
热门审阅
AM
Mar 11, 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
Feb 1, 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.
101 - Machine Learning Operations (MLOps): Getting Started 的 125 个评论（共 127 个）
创建者 Efim L
•Mar 10, 2021
Lab infrastructure doesn't work. For example, folders "mlops-on-gcp" was hidden. So, I can't touch labs properly :(
创建者 Alexander R
•May 26, 2021
Some of the labs works only with out of course workarounds, the course needs updating.
创建者 Ning L
•Jan 5, 2023
Good intro level course overall but lots of the hands on labs are out of date
创建者 Mano
•Feb 9, 2021
Good but in lastest lab on chapter3 should work with git also.
创建者 Arnaldo M
•Jan 26, 2021
The structure and sequencing of this course is not clear
创建者 simon
•Jul 20, 2021
Hard to follow
Assigment is not actually interesting
创建者 Francisco L M
•May 27, 2021
Algunos laboratorios no funcionan adecuadamente
创建者 Abd-El-Rahman A
•Jun 5, 2021
there was a lot of bugs in this course
创建者 Holger H
•Mar 29, 2021
The labs did not make any sense for me
创建者 suppakarn w
•Jul 5, 2021
The last lab has too many error
创建者 Saeed R
•Aug 26, 2021
Good material but buggy labs
创建者 Sougata C
•Apr 24, 2025
Lab was not functional
创建者 Asha Y L
•Jan 28, 2021
It was gud
创建者 khushal p
•Aug 6, 2024
done
创建者 SULABHA J P
•Jul 21, 2022
good
创建者 Zach T
•Feb 15, 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.
创建者 Shweta
•Jan 31, 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.
创建者 Hyunkil K
•Nov 2, 2021
so duplicated, poor lab
创建者 Imam S
•Dec 20, 2021
ok
创建者 Nils B
•Jan 28, 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.
创建者 Rowen R
•Jan 31, 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.
创建者 Sunilkumar G
•Jan 21, 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.
创建者 dwight b
•Jan 16, 2021
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.
创建者 Claudio G
•Jul 20, 2025
One of the labs is no longer available and I got stuck at 95% of the course. It should be REMOVED!!!!
创建者 Shubham P
•Oct 10, 2025
Couldn't even use lab by following the guidelines