AP
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Thank you so much for gave this chance. I'm so happy with learning here. And it's more important learning this for me. Very clearly and cool course. Lerned more things. Thank you very much again.
BK
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Excellent overview of big data and machine learning using GCP, but would have been better if there had been notes similar to the "Google Cloud Platform Fundamentals - Core Infrastructure" course.
By Subhrendu B
•Jun 30, 2019
good
By Pravin S
•Jun 22, 2019
Good
By Ashwin S
•May 28, 2019
good
By Mohan T R M
•Feb 27, 2019
good
By Arun K
•Feb 9, 2019
good
By Krishnam R
•Jun 20, 2018
Good
By Imam S
•Dec 19, 2021
ok
By eoa
•Nov 16, 2020
;)
By Simon P
•Nov 25, 2019
ok
By Marcin Z
•May 19, 2019
ok
By Narendra B O
•Aug 25, 2019
.
By Ievgen B
•Nov 23, 2018
.
By Ruba
•Dec 25, 2017
V
By Matthias H
•Mar 6, 2018
Very nice and fast-paced introduction into the components of the Google Cloud Platform giving a first hands-on experience. It nicely explains the concepts of local computing, cloud and elastic cloud concepts. But what it is missing is a) explaining which and why those components are behind PubSub and others (Apache Beam, Kafka, etc.) and b) the pricing model and finally c) how to deal with frequent changes on the API. Google says it's cool that everything is moving so fast, but for a real enterprise that might be a problem.
By mikesalgo
•Dec 24, 2017
It's a good intro to different google cloud products,
but lecturer spent quite a lot of time on explaining the advantage of using each google cloud products.
And since this course is too short, so I can only get a rough idea of each cloud products.
I am interested to know more about tensor flow and I have no knowledge of tensor flow before, this course is not a good learning resources on this aspect.
By Gnana P D
•Nov 23, 2019
This is more like an advertisement for google cloud more than teaching it. There should be a provision to explore the Google cloud to learn more rather than putting so many restriction at least for educational purpose. Removing restriction will let people understand and experiment more, which in turn attracts talents to use GCP while they work for enterprises.
By Kristoffer L
•Nov 14, 2020
Overall, the course is good as it gives a good introduction to all GCP services related to Big Data and Machine Learning.
However, what I was eager to experience in taking the course is more hands-on practice of the tools within GCP. Also, there could be more explanations in the labs, especially the codes (not just them being copied and pasted).
By yating l
•May 6, 2019
1.The accent of one instructor is hard to tell, not friendly to non-native English speaker.
2.Some pauses and interruptions during the lectures. I'm not sure if the instructor(s) is well prepared but at lease they should have had script for what is going to talk.
3.The review section of each lab is not necessary. The instructions is clear enough.
By Yakov F
•Apr 20, 2022
Overall a good foundation course. Unfortunately, the shared lecture slides are from the older version of this course and utterly do not match the current video lectures; moderators do not respond to the request to upload the current slide decks. The instructions for the last lab (Vertex AI) are buggy or incomplete in several places.
By Rohan A
•Sep 10, 2019
it was good to plug and play data on the labs and see results. I am quite impressed by the scope of ML in our world. listening about different applications of all GCP software is very intriguing. I am from non CS background, and i find programming challenging. I really do look forward to change my field and move in data analytics
By Morgan S
•Sep 6, 2020
The course was not as hands-on as I would've liked it to be. The exercises are not problems to be solved. They are recipes/instructions to be followed. The instructors spend a lot of time pitching GCP. On the bridge side, GCP is an impressive tool. I feel now comfortable using some of its key features.
By Roman G
•Jun 14, 2018
I liked the details in the explanations and the huge knowledge the trainer has.The labs were a little disappointing at times. Lots of configuration and then you didn't really do much with it. Would have been great to have some more practice included using the data once the infra is up and running.
By Rendy B J
•Sep 10, 2017
scratch very basic of gcp. overall great course. but i got difficulties on following when i need to execute datalab python which the notebook is available on github. i thought i followed every step told by the instructor but I couldn't find how I could git clone to my datalab like the video did.
By KKWANH
•Sep 18, 2021
I simply satisfied with this lecture, but i had just a little point that i've disapointed.
First, There isn't any subtitle for Korean.
Second, It's difficulty has grown up too fastly to compare start and the end.
Anyway, Thanks for such a good lecture. Thx :D
By Aarti K
•Apr 8, 2019
The Labs and Course Assignments can be better. Fundamentals of GCP was a good course with tough assignments and a lot more learning. In this one the videos are too long and sometimes repetitive like Lab and Leab Review.