Good for an introduction.Some topics about Datalab need an extra introduction, because are not easy to understand for a person with not knowledge

This is an awesome course for all of those who are new for ML. It gives a good idea in application side and also a basic idea of GCP environment

Great to start with GCP advance analytics and AI. It's really cool to do the hands-on labs with a real gcp free account, but they're a bit basic

Very good course. Got a lot of useful insights. - Quizzes are fine and just right amount. But needs more challenging lab exercises for practice.

Very good content but the categorization could be improved as the content is stuffed into week 1. There could be segregation of more sections..

Overall this is a good introduction course. However, I did not come across any topics that cover on premise to cloud data migration strategies.

This is one of the course i really enjoyed . and get to know about BigQuery ,GCP platform . Building model .and many more exciting materials.

Very well designed course. Love the walk through of the concepts followed by hands-on exercises. The end of week 2 felt a bit rushed though.

A great course for getting an overview of applied machine learning and big data solutions provided as products of the Google Cloud Platform.

Good introduction to GCP. The labs are mostly follow the instructions step by step. It'd be more helpful to have some more challenging labs.

Ignoring the various hiccups that happened along the way with QwikLabs, this course is very helpful for establishing your GCP Fundamentals!!

Nice introduction to the GCP infrastructure. The main features of GSP are discovedered, ad high level, without going deeply on the details.

Great course. I'm not that familiar with data, so a crash course on SQL might be helpful as reference to understand better some concepts.

very good course, some of the labs have problems in the completion, and not 100% updated on the tutorial. Great content and very didactic

The course is very good, but which is only an introduce course. I hope the followed courses cloud be teach some knowledge of application.

good general overview of ML on GCP. Much of the material is covered in the free tutorials on cloud.google.com, but videos are a big help.

The course is a good intro to the GCP ecosystem. If you are not aiming for a Specialization (5 or 6 courses) do not pay for this course.

Very informative, yet frustrating at times with how the labs are set-up. I am excited to continue down the Data Engineer specialization.

Very good! I think more exercises would help solidify some of the steps and processes in configuring pub/sub, bq, dataflow, and autoML.

I couldn't complete to the end of some labs due to some error which I wasn't sure how to fix it. But most of the labs are very helpful.

A very good overview of the GCP and its Big Data products. It's easy to follow and the labs reinforce the key messages in each module.

Third party tool is not always working well, that can create a lot of frustration

Apart from that, I think its a good overview of GCP

The course content consists of some advanced concepts of python like graph plotting. This will be a difficult for newbies to grasp.

A few of the instructions are outdated. Otherwise, generally a good overview to get started with some of the Cloud Platform tools.

This course should not be paid or include other courses as well for value of the course, overall satisfied.

qwiklabs are excellent.