学生对 Google 云端平台 提供的 End-to-End Machine Learning with TensorFlow on GCP 的评价和反馈

the course is helpful for any learner initial to touch GCP learning

Deployment was not successful. Was not able to debug

The labs could have been a bit more useful.

Some codes of yours notebooks doesnt work

Some labs have to be reviewed and updated

QuickLabs has error in many labs

thank you

well

nice

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.

A​ctually one of the worst courses I did on Coursera.

1) The videos don't match with the lab material and the instructions seem to refer to older versions of GCP or are however not clear.

2) The graduation system is poor, since there are no true tasks to be done and no peer reviews.

3) F​inally, there are some important parts of the code that aren't explained at all.

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.

Videos were helpful to get to know Google Cloud services, but the labs were a mess with different versions (deepdive vs deepdive2) that were not a pleasant experience.

Most of this course lack the actual coding so I dont think I get much actual experience from this course

The labs were completed, I need to only run them. which I think I couldn't engage myself

The Lab tests could be more interactive, and the tests could have more questions.

The labs are not good. The labs can not evaluate a student.

Labs should be more interactive and challenging.

errors...

Not one of the better courses. Many of the labs were simply run all cells and read the code. The ones that did require you to write code were very convoluted and the instructions and expectations were not clear. Additionally, one of the final labs required data from previous labs, which existed in a different quicklabs environment. So instead of building on each other, the last lab required you to recreate ALL previous labs, including the writing of code with limited instructions.

Very weak course. There are no assignments, only 'labs' for which there are walkthrough videos that tell what happens in code, but they don't actually ask to implement or test anything.

The qwiklabs platform is also very unwieldy - even for labs that take 10 minutes you have to go through set up that takes at least 5 minutes...

If you want to take whole specialization the course might be useful, but otherwise DO NOT DO THIS COURSE

C​ompared to other courses that I took at Coursera, this one is of very poor quality. No peer-to-peer evaluations, extremely simple and short quizes, no reason for discussions, the labs can be finished without solving any task, but you still get full marks for them. I could have just clicked trough the videos without learning anything and still get the certificate.

Quite some labs did not work. It shows how several components of GCP can be used. Then there are implementation labs that are really abacadabra. I was really disappointing.

Looks like this class could be very useful, but you have to pay up front before you can try any labs. Don't bother auditing.

Notebooks are foll of mistakes, and nothing is about what u need to do. All explonations about what u coud do was in videos.