Mostly self advertisement of Google

It's not as expected. The teachers try to just roam around the topic instead of explaining the core concept. They try to enact more rather than deliviring quality concepts. And also, the discussion forums are not at all active. There are no mentors and the staff just forwards you to the qwicklab QnA page for each query. So, the overall experience from this Google Specialisation was just irritation at each module.

On my last lab the SSH hung up and I closed the lab and started a new one. I did not get to finish the lab and I got a certificate for completing the course and the lab. Hey, the machine learning should see that I did not get through the lab! This is an instant diploma mill for not finishing the homework and getting certificate. This certificate makes my other completed certificate looks bad.

Apologies for the negative feedback. After wonderful lectures and hands-on series of Deep Learning by Dr Andrew Ng, just coudn't tolerate the training instructor. He literally danced left-and-right in few frames of the video, his expressions were strange and his proniunciations are hard to decipher at times.

Please get a more professional instructor/trainer, Google.

So much potential wasted. There is no clear structure what this is all about. On the one hand it focuses on business problems on the other hand it uses very technical SQL code on unknown databases. I wish this course had more structure and the assignments were a bit more explained (aka what am I doing here?)

The videos are ok, the "Labs" are really bad. You just follow instructions with code to copy into the notebook. Of course, you can play a bit with the code, but you don't really learn how to do it yourself when the correct answer is already filled in. Would not recommend.

Long long advertisement. I followed "don't judge the book by its cover", but I was wrong.

I hope the rest of specialisation courses aren't the same as this one, otherwise this might destroy Coursera's reputation.

This was more onto Google's marketing than being focused on the course contents. Qwiklabs are not working and I ran out of quota time as Qwiklabs was facing problem. Eventually could not complete labs.!

Too bad!

An instructor keeps swaying while talking, which is very distracting. This course does not have much substance. The labs are useless. It's unbelievable that it is a 3-week course.

Pros: Tensorflow is an excellent framework for deep learning

Cons :

1- The way this material is designed is 10 X SHIT

2- Either teach properly or don't teach at all.

Google Qwiklabs had problems at times and steps to troubleshoot such problems were not covered in the tutorials. There was also no primer material on the code.

Felt like I was watching a Google ad. The section on ML in businesses is the only one where I actually learned something. Thoroughly disappointed.

I am not able to complete the course because the lab is not available on qwiklabs and I need to gain certification for the course

Thanks

The google's product promotional videos aligned into one single file has been called a course here.

Please donot fall for this hoax.

Fair product overview, but the labs were very difficult to get going. Last lab failed altogether. Not a very pleasnt experience.

more of google marketing for its outdated cloud tools than useful information about high level ML strategy.

Extremely poor quality of questions in quiz. I assume no one reviews it before releasing this course.

Too slow course..Not a specialisation but tells you ABC of Machine Learning.. Good for beginners

Last lab seems to be broken? Access denied to last two images in the "challenge exercise".

Very bad. The labs are awful and super super super slow. I quit even from the first week

It's very difficult course because it contains more videos to cover in one week.

This course is basically just an advertisement for Google Cloud.

Mainly google party line. Not worth paying a subscription price.

Data Labs not working and Shell timeouts very often

This should have been split into several weeks