Course was good but to expensive..Could not pay for it because I lost my Job as a Solution Architect in one of the leading Global IT company ..Not Google

Labs a bit hit and miss - mainly due to settings and permissions

A very good introduction to ML as Google sees it. A lot of focus on using Google products to solve ML problems and the various options Data Scientists have on Google cloud Platforms. Overall Good content but certainly room for improvement, to deliver a coherent story across the course and focus on the Why's (ML principles & logic) of doing things vs. the How's (Google's platform) of doing things.

You have put a lot of information about your product rather than teaching anything.

Qwiklabs did not connect to all services on GCP properly. I had to setup my own environment. This should be fixed to ensure a better learning environment. Apart from this it provides a good intro to Google´s ML approach & strategy.

Very Basic...

Company advertising and not machine learning experience.

More exercises, pls.

was a bit boring

Spent hard earned 50 bucks to get sucked into a week's worth of glorified commercial of black box services provided by the black hole that is Google. The only thing that is missing from these ads is the pricing. Helplessly hoping they tone it down in the subsequent courses of this specialization. Would really like to blame it on these companies that won't even check you out unless you've done stuff on Google's or Amazon's money maker boxes. And to the brother in the video about ML bias, the least you could do for your people is be Google'ly incorrect and talk about a "hypothetical" ML model that labels a black male in a sedan as a threat to a racist cop's life, rather than settling for the mild, plain old credit history example.

Beginner level. This teaches how to access the Google cloud and setup a vm instance.

contains many not updated parts

more background to what machine learning is and what it is not would have been helpful.

Some labs need to be updated (since GCP has been updated), but overall the course was informative. Also there is a quiz with formatting that makes it impossible to know how to answer. Please fix this.

It was way too clumsy. Google could have put it in simpler and not so boring way. People expect a lot more from google than this.

This course is good if you want to learn google cloud but there is not much related to machine learning. Mainly presenting google tools

thank you

There were many places where the downloaded libraries in the qwicklabs that didn't match with the code given in the course

too much theory instead of practice((

not clearly explained

I guess it wasn't what I really expected. Mostly a showcase of Google technologies and not a course where you get to learn much.

completely understood within a week. one of the best certifications i have had on coursera. recieved no certification whatsoever. utterly disappointed.

Feels a lot more like marketing, more than learning any actual ML. This is followed by some _very_ brief code tutorials for using Google's own well established ML models via REST API, which still feels more like a product demo than actually learning anything. Hitting a rest API isn't hard - although I feel like it's harder using the Python libraries you've chosen than making HTTP requests directly.

Either way, this doesn't teach any actual ML skills.

Good instructors but very basic course. Can't believe this is marked for intermediate level.

Should've seen it coming. WAY to focused on Google's product offering and political agenda. Nothing wrong with neither but when I'm learning something I don't like the feeling of being force fed something.