It was ok, enjoyed the first lectures but not really the last. Maybe because my expectations were different.

I felt from Pub/Sub and Dataproc should have been much clear.

I got bounced from that module in Week-2.

Not really sure it was the best course for Analyst. Hope the next recommendation is a better option.

Good overview, but too much spoonfeeding. Too easy to get through the course without using your brain

This trainning is very good, but it's necessary more time to do exercises to fix better the contents

Some parts in the final chapters could be either better or slowly explained, but the overall is ok.,

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

I expected to get a completion certificate at the end of this course for my hard work and pace.

Not as structured as the other Google Fundamentals course. I got a little confused at times.

It is very slow at the beginning, too much small talk, it is hard to stay focused that way.

LOVED but wish it would have been more in depth and less of an overview of other services

Entry Level users. It has a very professional and defined overview about main GCP tools.

Not really helpful for learning specific skills, more like an advertisement of GCP.

Decent introduction, I was expecting more content and more hands-on practice though

Almost all are okay. But some instructions in Japanese are wrong. So I wasted time.

Too beginner level, lot of waiting for recreating the Compute Engine instances...

The course is theoretical and most of labs are just running pre-built solutions.

Course was good but an error on dataproc custed me 3 days wainting to finish it.

A little toaster science. Went through exercises, but didn't absorb materials.

There was an unnecessary amount of technicalities that were poorly explained.

Module review should contains more question, so that student can study more.

Lab is a bit scratchy and i was facing trouble in submitting the assignments

Achei muito comercial e muitas coisas já estavam prontas sen ter q pensar

Class is outdated. Labs instructions do not match exactly GCP interface.

花了2天过了一遍, 无脑跟着流程走就行了, 本来期待介绍怎么用cloud ml, 结果居然是用datalab(notebook)来讲的...