Great course. It is a great introduction to the basics of GCP as a foundation to ML. However, the last lab was not working well which, I believe, was only a temporary issue.

A bit too basic course, but cover most of the fundamentals of GCP Big Data and Machine Learning. Would be actually much nicer if the course is a bit longer with more detail

Could have presented better, giving overview of the architecture of all modules would have given us(students) better insight. We could co-relate things in much better way.

Great course! Would have given a 5 star if videos were edited better (I feel you may have forgot to edit out some parts of a few videos - where errors occur for example)

Good course. Needs some updating as it would seem that some of Google's internal code is not provisioning correctly. Can be completed with a minimal amount of IT skills.

It was a good experience while learning with Google, but with this course they can go with much more basics like in the Practice session for more better understanding.

some of the lab steps were missing. were able to figure out quite many by exploring but still some could not be located especially how to import already trained model

Basic understanding of all the tools available from Google Cloud for Big data and machine learning. Really informative for knowing the right tools for the right jobs.

Great introduction course! Please be more explicit in the Quiklabs integration in Coursera since is not easy to know how we need to "Run the Steps" and pass the labs

The course was great, except for the issue with lab completion - had to do two labs twice. Well, at least I will remember the steps better - practice makes perfect.

The course gives a complete overview of different GCP offering for managing and analyzing data at scale but doesn't go into much details of any of the component.

The labs were inconsequential to the subject matter, since these are fundamentals. I recommend adding more questions to the quizzes in lieu of the lab exercises.

Very learning platform and nicely design the lab. But learner or student has to concentrate on this Detailed topics which they provided Resources. Thanks to GCP.

The data begins to be a bit outdated. I wish the course could cover some CLI commands instead of doing everything through the console. Still a nice introduction.

Great course with real projects and examples. and easy to follow. It would be better if you also provide the slides of this course so i could read again. Thanks.

The course is good for basic overview and understanding to GCP and ML fundamentals. But to get a better and deep understanding more practice would be required.

This course has helped me to get an idea about the fundamentals of cloud environment and its working or more specifically google cloud and it various services.

Good Course for Fundamentals on Big data Platform and Big Query capabilities. Great Insights on ML and it gave a focus on how ML works and benefits on Auto ML

This is an excellent training material for beginners in Google Cloud platform. Some of the course contents may be more helpful if the steps are well defined.

great, i enjoyed laboratorys and could try for free how to use the solution from gcp. I had some issues at laboratory that I reported for improvment. Thanks.

Excellent overview of the cloud ecosystem in the Google cloud. It moves rather fast across complex topics, but in a very careful way of connecting the tread.

The course is beginner friendly, helps new students with basic fundamentals of Google Cloud Platform Analytics and Machine Learning concepts and workflows.

Solid. The AutoML part is a bit too easy. Ideally, you would provide a link to the repository containing all code used. Specifically, for the Keras section.

Content is fantastic, coursera is a bit flaky in terms of how it tracks content, labs can be a bit tough to follow and I couldn't get one lab to work at all

Quite nice overview about Google cloud. It could have a better overview about the availible features in GCP main UI and how to start the Google Cloud Shell