Nov 18, 2019
awesome learning experience fro the teacher from google. thanks to coursera and google for providing me such a good lesson which will be beneficial for my upcoming future and research work
Mar 03, 2019
Definitely adds a unique perspective on thinking about machine learning systems at scale. This course is suitable for Data Scientists, Data Engineers and Machine Learning Engineers.
автор: Siddharth P•
Apr 04, 2020
автор: Micael F•
Mar 28, 2020
автор: Raghavrndra P•
Jul 10, 2020
Jul 02, 2019
автор: Karl J•
Apr 11, 2020
It has great content for the lectures and a great introduction to GCP to make a production machine learning service. The labs are helpful to an extent, but you're on your own to troubleshoot or explore for labs because there is no help on discussion boards. They say to email tech support, but tech support's reponse was to do the lab as written, despite being told that's what was done. It's hard to get through a lab searching StackOverflow or Google because of the time limits.
автор: David K•
Mar 12, 2019
Good: Course structure = great, content is relevant and interesting
Bad: Labs do not always work (e.g. deprecated GCP modules incompatible with apache-beam), code for labs already contains answers... would be nice to have "lab" file and "answer" file to make learning more explicit, also, the white guy with the mustache should rerecord his videos.... the cadence is distracting and he does not go into as much depth as Lak
автор: Mustafa H K•
Apr 19, 2020
- the lectures are not easy to follow sometimes, might be better if the code is shown more step by step rather than being shown all at once and then the instructor arbitrarily starts explaining from a particular location.
the labs are either too easy or such that there isn't enough information to find out the answers unless you really do arbitrary try and error. Either way you don't come out learning much.
автор: Ian Q T C•
Jan 19, 2019
Exactly what it says. Labs are trivial and I felt like I didn't learn much other than how to use the interface for serving and taking a model from start to finish. The core concepts are useful both in GCP and if you decide to roll your own stack
Oct 21, 2019
Good to work in a real world environment, though not much hands-on work (most code has already been provided). Still not familiar with API's details.
автор: Pablo M P•
Aug 25, 2019
This course is not very practical nor very well explained. The topic is very interesting but it is not delivered clear enough.
Jun 29, 2019
I am satisfied with GCP training except for some errors.
I think I need the latest update.
автор: Jitesh B C•
Apr 30, 2020
more explanation about labs were needed for help to understand the code
Nov 02, 2018
the course is helpful for any learner initial to touch GCP learning
автор: AMAN V•
Dec 15, 2019
The labs could have been a bit more useful.
автор: Marian P•
May 23, 2020
Some labs have to be reviewed and updated
автор: Rahul D G•
Jul 13, 2019
QuickLabs has error in many labs
Jun 12, 2019
Jun 30, 2019
автор: Mark Y•
Jun 22, 2019
автор: Nikhileshkumar I•
Nov 08, 2019
Course content is good. But Coursera policy is bad. After completion of the course, only a 1-month extension is given to revise it after that. You cant see the content. This is very bad. It would be better to download the videos.
How are you supposed to revise the contents?
After that, you have to pay again. I will think twice before going for any course with coursera.
автор: Han L•
Nov 23, 2019
Good content, but flawed lab design. The labs are designed to run in sequence and have dependencies from previous labs. Those dependencies break with different sessions of Qwiklabs.
автор: Nattachai T•
Oct 07, 2019
Most of this course lack the actual coding so I dont think I get much actual experience from this course
автор: Alireza K•
Jul 27, 2019
The labs were completed, I need to only run them. which I think I couldn't engage myself
автор: Wanqiong P•
Feb 25, 2020
The Lab tests could be more interactive, and the tests could have more questions.
автор: Ahmed Y•
May 16, 2020
The labs are not good. The labs can not evaluate a student.