Jan 09, 2018
Thank you very much for making this course available on Coursera, I cannot agree more the knowledge of Mr Venkat. This is a great way to help people to get started with Google Machine Learning.
Sep 08, 2018
A very good course on TensorFlow, ML and Google MLE on GCP.\n\nThe Labs are self contained and the problems proposed are very challenging. I learned a lot on this course.\n\nThank you!
por Tim K•
Nov 27, 2019
super exciting topic but there are some issues with the labs. That's super frustrating
por David F•
Feb 22, 2019
Muito complexo para quem não tem bagagem algum com python e machine learning.
por Sudhindra D•
Nov 09, 2019
Data too huge to process within timeline of lab
por Sanjana C•
Feb 03, 2019
The course seemed little superficial to me
por Marcelo G•
Jun 22, 2018
Subtitles with lot of problems.
por Andriy K•
Sep 26, 2018
not practical at all
por Chaz R•
Oct 18, 2017
I was very disappointed by this course. The spoon-feeding, no-skills-required approach was out in full force. After going through this entire course I feel like I still don't have a solid grasp of how any of the serverless machine learning scripts actually worked, because it was just "read this," "run that," "push this button." There was no explanation of what "run this" was actually doing, or how I would write something like that myself.
Most of the actual learning I'll do on this topic won't happen watching the Coursera videos - it'll happen while looking through the training-data-analyst repository and understanding the many moving parts that went unexplained during the course. I don't feel this course is adequate preparation for doing serverless machine learning with the Cloud ML Engine.
On top of all of the frustrations about the content, there's also the fact that every video for the entire course was chopped into 30 second or 1 minute intervals, making it distracting and hard to learn. This was made worse by bugs in Coursera's video playback mechanism, which prevented videos from automatically advancing, and meaning I was getting stuck every minute (for HOURS) clicking on the "Next" button.
por Richard B•
Nov 11, 2019
Its presumably a tough course to teach, but the pace of the videos and the structure of the qwiklabs was very much out of sink. With this course expect to find yourself doing a lot of thumb twiddling while GCP 'thinks about stuff'. 15 minutes just to spin up the datangvm. Unlike many other qwiklabs on the way to GCP mastery, YOU WILL WASTE A LOT OF TIME just waiting.
Huge swathes of RED Error text to wade through wondering if it works at all.
Large numbers of very seriously worded warnings make me think this course is up for imminent decommission or rewrite.
Note that the marking is totally dependent you using the specified region for your compute, not the recommended nearest to you that many of the other courses on the subject recommend. The Qwiklabs are tedious and repetitive, and not in their own right very educational; promoting a point and click approach rather than a real learning experience. Its a good set of material if you can access it all and run through it in a single, much longer lab experience though. Course really feels much more like a few sessions at a free GCP Data Meetup than a real course for home/office learning. Would struggle to recommend.
por Danish S•
Jun 26, 2019
Labs failed with Bad model error and deprecated command warnings. Please update the material to keep pace with changes from GCP
Overall the practical part of the course was not very useful for learning. There is no point in doing shift + enter - without diving into the code I don't think you can learn anything. On top of that errors and down rev material causes more confusion.
You guys need to pick up game. There are other places that are providing much better learning experience and updated course material than Coursera (e.g. Linux Academy). I'm very disappointed
por Guilherme B D J•
Dec 08, 2019
I think the course should be made a two week course so the content could be studied at a slower pace or some more advanced content could have its own course.
I felt like I was ingesting too much information in a too short period.
And most importantly: there were way too much broken labs during this course and the discussion forum is filled with "contact quiklabs for support" messages, but the Coursera should guarantee the quality of the courses and exercises that are provided in its platform.
por Ciprian D•
Feb 02, 2019
This course/specialization is seriously insufficient in order to pass the GCP certification. A lot of knowledge from the Architecture course would still be necessary. The disclaimer about work experience does not cover that.
por Narendra P•
Mar 18, 2018
A really substandard course. Does not do justice to its name or GCP.
This is in no way reflective of the accent or knowledge that instructor has but his teaching abilities.
por Viswanatha S•
Oct 23, 2018
Hey it does not let me access my lab or course, it says, course has not started yet. This is really bad and what ever else you want to call it.
por Ken F•
Nov 16, 2019
Lab 7 is a mess. Whole class was an exercise in running cells in notebooks. Simplify the use case and have students do some actual coding.
por Leo Y•
Jul 10, 2018
The most of the subtitles of this course are either out-sync or totally incorrect. Please fix it ASAP!!
por Thanakorn T•
Jan 06, 2019
Wait too long to even begin this course (wait for 5 minutes for datalab to start)
por vishwanathan r•
Oct 03, 2018
Too many activities in lab which is not clearly outlined in the elearnings.
por Anselme B•
Oct 04, 2018
I DON'T HAVE ACCESS TO ALL THE FUCKING VIDEOS DO SOMETHING PLS
por Gavrilov M•
Oct 10, 2018
Half time of course need for start lab
por Deleted A•
Jul 29, 2019
Can't understand his English accent.
por Dmitry B•
Oct 02, 2019
A lot of labs with small resources.
por Rajat S•
Dec 19, 2019
it was quite hard to understand :(
por cheng y•
Oct 09, 2017
the worst course in the Coursera
por Ajit K•
Dec 08, 2017
This course is very high level