I would like to thank Lak and Chris for their wonderful presentation of the deployment of ML models on the Google Cloud Platform. The case study problem chosen for the course is also unique.
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
创建者 Shiva P•
Lucky to learn in easy way
创建者 Vijay M D•
This is an awesome course.
创建者 Utkarsh S•
Assignments are hectic
创建者 ABBAD S•
It was a pleasure
创建者 Hemant D K•
Its good one.
创建者 Jose J A S•
创建者 Luis E O•
创建者 Prasenjit P•
创建者 George V•
创建者 Siddharth P•
创建者 Micael F•
创建者 Raghavendra P•
创建者 Karl J•
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.
创建者 David K•
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
创建者 Mustafa H K•
- 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.
创建者 Antony J•
Very difficult course to follow, as most of the visuals are out of date and seem to refer to TF1, whereas some (but not all) of the QwikLabs have migrated to TF2. There's even a set of videos referring to Big Query ML, but no lab. Very interesting, but the course needs a good polish.
创建者 Mateo V A•
Lectures are good but the labs are just tapping shift +enter on jupyter notebooks (There is no really hands-on). Some intermediate steps on notebooks are not well explained. For learning is ok , but having to pay for a certificate on this , I wouldn't recommend it
创建者 Ian Q T C•
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
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.
创建者 Philip G•
The demonstrations have code that does not work. It gives some explanations for why you would do various steps, but the workflow is not clear.
This course is not very practical nor very well explained. The topic is very interesting but it is not delivered clear enough.
创建者 Eun S J•
I am satisfied with GCP training except for some errors.
I think I need the latest update.