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Learner Reviews & Feedback for Managing Machine Learning Projects with Google Cloud by Google Cloud

4.6
stars
3,604 ratings

About the Course

Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team....

Top reviews

VK

Apr 4, 2020

An excellent course to understand the multiple use cases of Machine learning along with 3 Labs for hands-on training,that too,without any coding :-).

One of the best courses available on Coursera.

AK

Apr 29, 2020

Apt level of coverage for business professionals and project managers. There were few advertisements for the google training which can be minimised by just referring and not going too much in detail.

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851 - 875 of 939 Reviews for Managing Machine Learning Projects with Google Cloud

By Kim C M

•

Aug 5, 2020

A bit hard

By Neel K G

•

May 30, 2020

satisfied.

By Patcharin S

•

May 12, 2020

No comment

By Murali N

•

Sep 25, 2020

very good

By Tejas M T

•

May 16, 2020

satisfied

By Mangesh S p

•

May 16, 2020

satisfied

By SARAVANAN.V

•

Jun 24, 2020

nice one

By Fauziah N A

•

Jul 31, 2020

Cool!

By Oshani W

•

May 29, 2020

Good!

By PREM K N

•

Oct 21, 2020

good

By Karan C

•

Aug 16, 2020

Done

By Arzoo P

•

Jun 30, 2020

Nice

By I l U

•

Jun 21, 2020

nice

By Kushimithaa T

•

Jun 14, 2020

good

By Widi D S

•

Jun 3, 2020

Nice

By Neha G

•

Jun 2, 2020

good

By Akhilesh G

•

May 27, 2020

nice

By aryan k

•

May 7, 2020

good

By Chandrashekhar R

•

Apr 12, 2020

good

By Ajay S

•

May 20, 2020

ok

By Michael H

•

May 28, 2020

This was overall a helpful course but could be improved. It was nice to get some hands-on work with the Google Cloud tools but I felt that the instructions were confusing that that the video of the lab should have been shown before the lab rather than after. The presenters were somewhat uneven, it seemed for them this was a training course in how to make presentations. There was a high focus on doing what was ethical in terms of analyzing data. This seemed to constitute 30-40% of the materials. I agree that understanding bias is important in the analysis. Still, until I know how the tools work, it seems hard to know how to anticipate the potential biases. Seems that Google was trying to play to a different audience than the people taking the course in this regard.

By FENIL S

•

Jul 9, 2020

The course was good in its contents.I learned some parts & APIs of the Google Cloud Platform which helps to create ML and AI enabled products for businesses. The course helped me to understand how can we implement the AI & ML for any business and get insights from the business data and eventually help the business to transcend. The Course explains various products and APIs offered by Google Cloud Platform which we can use to implement ML and also provides the Hand-on lab to practice some of the GCP APIs.

But in my thoughts, the course lack in explaining the basics of the GCP APIs used and someone who is new to GCP might find it difficult to understand how GCP APIs work from the backend (but nevermind, as it is the out of the scope of this course).

By Walter H

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Apr 29, 2021

Some useful parts, but this course doesn't know if it's for project managers or programmers (evidence: the part where they expect you to write tensorflow code). I would advice the team behind this course to split it into 2 separate tracks, and to do deeper on the project management side. Unrelated to my given review score, I find it hypocritical that Google are teaching people about ethical AI practices, while at the same time (e.g. by firing their own AI researchers Margaret Mitchell and Timnit Gebru following critical publications related to ethical AI).

By Lekhraj S

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Jun 17, 2019

Overall liked the flow.

-May be some more examples/labs as well as a case study of a company went through their business transformation with ML would be helpful.

-Some interviews with leading practitioners of ML as well as business leaders would be great.

A module with specific advice for product managers, designers, C-executives, etc would be helpful.

-Bringing in few solutions from non-Google would make course more complete.

-Resources to follow-up would be superb.

By Joseph A

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Apr 26, 2020

Although the videos include very usefull information, sometimes a felt a lot of advertisement of google cloud products (which maybe I should have expected)

The first graded assignment was excelent learning experience with dialogflow but with the others I felt just like following a bunch of instructions.