At some points it was a bit confusing. Especially the labs, where some instruction were not at easy to understand as the could be. But overall I found this course very helpful in understanding what ML meant and how we should approach it.

Overall the course is good. IMHO the quiz needs to be improved. It should have more questions and the questions should be more directly related to the lecture or the contents. And I think the course should add some case studies.

The information which is potrayed very beautifully.Lecturers are quite clear and gave very isolated information.Finally it is one of my best course on online platform with a lot of basic knowledge on ML with clarifications.

Good introduction into Machine learning. Does not tax you with the jargon and deep concepts but more like an outline to how Machine Learning is implemented. Has Qwiklab exercises which helps you get familiar with the tools.

Very business-oriented

Large view on state of the art of Machine learning

good support on the Labs

Google culture-oriented

Sometimes difficult to understand for a non-American native (eg : I had no idea of what a slushie was)

The introduction course by google address the practical difficulties that we come across while developing and deploying ML model . Necessary for any one who would like to put their model in production in scale.

This is a good introductory course on how actually Machine Learning is being developed in Companies like Google. It covers the basic aspects of how ML is done using Cloud Platform using Cloud APIs.

An excellent overview providing a birds-eye view of where ML fits in the larger scheme of a software project and how it evolves. It also provides a good introduction to leveraging Google's ML APIs.

Great course for introduction. Very clean where you get a good first idea of which are the tools used by google to implement ML. Specially loved the Notebooks with the pre-installed programmings.

It was a great experience, learned new methods and ways in which ml is being applied in various technologies which we are currently using. How google applies ml models in its various products.

Some of the technical task were a little dated and took some troubleshooting but being able to do the labs multiple times especially after reviewing the wrap up videos added to the experience.

While this course is a bit outside of my specific work, it was very interesting to see the "why and how" from the very people who have created Google Cloud. Very interesting and worthwhile.

Maybe you could require students to make some changes to the code to make it work, in order to incorporate more student interaction, and thereby more robust learning, into the tasks.

Nice course and very good explanations of how the google does machine learning, how we use GCP available API and so on thank you Google Cloud for sharing your some experience to us.

The course gives insights into business plans and strategies that the google team have put into practice in their products.The examples used to explain concepts were really good.

Very well structured and presented. Relevant content. Provides a great overview.

Labs are good but quite lengthy, due to processing time that is required for some of the steps.

Nice introduction to ML logic and the capabilities of GCP, which are really impressive. However, I would prefer some more 'hands-on' tasks and not so ready to execute code.

Great and thoughtful course content. Labs could be better as they currently don't challenge the student to think. If the labs were improved, this would be a 5 star course.

Pros:

Great overview of tools that may be useful for app developers.

Cons:

Some details were not clear. Too many things to take care of, gcp, datalab, and a myriad of apis.

This course is very good. However, before attempting this course you should have taken some basics of maths (Probability) and ML from some other entry level courses.

the course is really great!!!

It provides an introduction to the google cloud console and the APIs and also how google performs machine learning using cloud

Nice introduction; however, it felt like some presenters were attempting to demonstrate their technical prowess. No need for this detail at the early stage.

Course is pretty basic and gives overview of the google cloud products. Overall i am happy with it. But at times i feel they made it lengthy with no reason

It was nice learning this. But some options are not working as mentioned in the content. Like creating Credentials was not always possible in the cloud

I wish there were more line by line code explanations of what we do in labs. That way it would be easier to experiment and create our own variations.