Marketing your products and not actually teaching anything.

Multiple labs had issues loading. In particular, any labs that required me to open ungit in Datalab would hang for extended periods of time or fail altogether. I would have to reload or reopen the Datalab pages multiple times just to be able to click to the next section. These assignments are timed. The amount of time wasted was not critical to my project success, but they were very frustrating to complete.

The last lab (before the final module quiz) simply stopped working. I closed the lab and tried again. I closed Coursera and tried again. I closed my browser and tried again. I restarted the computer. After 4 attempts, this process just became too frustrating to be work fighting with - especially since my employer wants me to compare Google Cloud Platform to Microsoft Azure and choose the one that works.

After working with GCP in this course, I can say that the Google Cloud Platform has exceptional features and API support. However, I have no reason to fight to learn the Google Cloud Platform if the course fails to load key aspects of the Platform in a reliable manner.

This was a great course to understand at a high level how to design and create my data ecosystem and how to do it sustainably. Hopefully, next courses provide more in-depth the technical features.

It felt a bit long in some places but I appreciate the breadth of information being squeezed in a small time frame. The qwik labs and datalab notebooks were great to learn some things by trying them out. I think it would be even better if there was a task to create a simple notebook from scratch - that is something that I will need to do to continue learning.

This course provides the basics of Google Cloud Platform and makes us understand Google Products and services on Cloud. I would love to explore GCP more and will opt for the remaining GCP courses.

Great high level overview.

This course really helped me in understanding exactly 'How the Big data and Machine learning can be used in Cloud' and 'The ease to use it'. Thank you for summing all the fundamentals in this course.

Very Basic course.. But helpful to get started with GCP

disappointing, Lab instructions and Video is not at all matching, and there are numbers of errors in lab instructions

and also Video should be some more informative

Great introduction to GCP. The lab experience was really good and I found the GCP interface very intuitive and easy to use.

Traz de forma simples e objetiva as informações necessárias para aprendermos sobre o poder das ferramentas rpesente no GCP

Such a great intro to the GCP!

Very consist, a good introduction to BigData

Very good training with a lot of topics.

Excellent overview of GCP. We surely need at least 15 focused hours to grasp the content. Thanks for all your support.

very good overview - thanks!

Got a good high level overview of core GCP services especially for big data and ETL which I am most interested in. Apart from the theories, I've learn a lot from the lab exercises where I can interact with GCP's UI and cloud shell. The ETL part was just cut short but looking forward to more detailed lectures about it in the succeeding series of the specialization course.

Awesome!

Excellent

Excelente, dinámico y bien explicado

I set a goal to finish this course in under a week. Although, I did achieve this goal, I didn't see any confirmation.

Very clear explanation, high quality lab and great experience on each modules

good foundation, great lab experience! nicely structured course!

Good

Un curso maravilloso.