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 21, 2017
Great course! I've learnt a lot. The concepts where super clear. The coding part was a little difficult, I didn't understand all af it, but it's good to have a complete example to use.
por cheng y•
Oct 09, 2017
the worst course in the Coursera
por Mark D•
Aug 12, 2017
Should be a much longer course with more hands on programming instead of just reviewing what is written. So many videos are 30s or less, videos are cut off, or following video is incorrect. In at least one instance a video was duplicated out of order.
por Ajit K•
Dec 08, 2017
This course is very high level
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 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 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 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 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 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.