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 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.

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

Marketing your products and not actually teaching anything.

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 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.

solid into level course for data engineering

excellent project

nice uses cases and labs are quite good.

Great!!!

Ótimo curso para iniciar na área de Data Science. Vídeoaulas bem didáticas e com laboratórios práticos.

Overall, very detailed course with lot of information around Data Science and how we can apply the concepts at cloud level.

Very step by step training with relevant labs. Excellent

A very basic hands-off course just introducing to some GCP products.

Good

The notebook based demos are unfortunately pretty useless as labs. All of these courses would be much improved with real labs that require the student to build the system.

Amazing, this course is very complete, show multiple applications using Big Data and ML on GCP!!!

My only problem was with the last lab, there's a really confusing section there, right in the last part of Vision API lab

Muito bom

Very good course. It's easy to inderstand and many tips and tricks provided to optimize the usage of Google Cloud Platform tools. But, some of the lab tutorial are incorrect or not updated. For example, the file name for predict cloud image is cirrus.jpg, but it was showed as cirrus.png instead.

Ótimo curso, precisa só da legenda em português

gratuiti

really nice course, we get a huge overview of google data and AI arqchitecture

Nice complement to google Cloud Onbord 2019

Gained an overview of GCP services such as Cloud Storage, BigQuery, etc and using ML APIs such as AutoML, Vision API, etc.