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.

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.

This is a really good course and the labs give a really good hands on experience

I found it to be a very well structured course. Touched upon all of important and fundamental Big Data & ML concepts and corresponding GCP tools. I feel more equipped on Big Data and intend to continue building my knowledge with more GCP courses available on coursera!

This is so valuable contents so that we can learn various services about data like BigQuery, AutoML.

Too abstract. Don't use acronyms without explaining the acronyms or paste lines of code with little to no explanation. K.I.S.S ( keep it simple stupid)

one lab was broken. also, don't use passwords with % symbols in them for any of the pyspark labs.

Nice intro. Broad with data eng and data sci. Am keen to learn more and go deeper

Only had issues with my laptop not working but the instructions are good

Excellent Course

Exceptional course with complete hands-on labs.

this is awesome course iam learn such amazing technoligies in this course

I like so much this course, that gives me a vision of how powerful is GCP and how easy is to implement.

Great overview of the variety of GCP solutions with a practical edge. Instructors presented the materials in their own interesting ways; especially Evan Jones who was very relatable. Looking forward to learn more and apply.

Excellent course content, really very helpful in getting insights of overall Big Data Platform

Great course content...

Great Course. Learned a lot!