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.
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.
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
•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
•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
•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.