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MLOps (Machine Learning Operations) Fundamentals に戻る

Google Cloud による MLOps (Machine Learning Operations) Fundamentals の受講者のレビューおよびフィードバック

4.0
326件の評価
96件のレビュー

コースについて

This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models. This course is primarily intended for the following participants: Data Scientists looking to quickly go from machine learning prototype to production to deliver business impact. Software Engineers looking to develop Machine Learning Engineering skills. ML Engineers who want to adopt Google Cloud for their ML production projects. >>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...

人気のレビュー

AM
2021年3月11日

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
2021年2月1日

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.

フィルター:

MLOps (Machine Learning Operations) Fundamentals: 76 - 96 / 96 レビュー

by Kwodwo G

2021年1月21日

The Labs took a lot of the promise the course had. It was a good time overall. Learnt a lot that requires further attention.

by Efim L

2021年3月10日

Lab infrastructure doesn't work. For example, folders "mlops-on-gcp" was hidden. So, I can't touch labs properly :(

by Alexander R

2021年5月26日

Some of the labs works only with out of course workarounds, the course needs updating.

by Mano M

2021年2月9日

Good but in lastest lab on chapter3 should work with git also.

by Arnaldo M

2021年1月26日

The structure and sequencing of this course is not clear

by simon

2021年7月21日

Hard to follow

Assigment is not actually interesting

by Francisco L M

2021年5月27日

Algunos laboratorios no funcionan adecuadamente

by Abd-El-Rahman A

2021年6月5日

there was a lot of bugs in this course

by Holger H

2021年3月29日

The labs did not make any sense for me

by suppakarn w

2021年7月5日

The last lab has too many error

by Saeed R

2021年8月26日

Good material but buggy labs

by Asha Y L

2021年1月29日

It was gud

by Zach T

2021年2月15日

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.

by shweta k

2021年2月1日

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.

by Hyunkil K

2021年11月2日

so duplicated, poor lab

by Imam S 0

2021年12月21日

ok

by Nils B

2021年1月28日

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.

by Rowen R

2021年1月31日

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.

by Sunilkumar G

2021年1月21日

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.

by cor

2021年1月16日

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.

by Yannick P

2021年9月22日

You should really give simpler examples