Most of the labs need to be review to make sure the instructions are still correct. I spent a substanial part of my time in the labs finding work arounds because of poor instructions.

It covered mostly a basic stuff. Data Engineers need in depth knowledge. Qwiklabs need to modify as real time scenarios instead of working on gcloud commands.

this course is OK, the information is good but the labs are messed up 90% of the time, and like always to much sales pitch

It is helpful as a first step, but it does not make learners who can develop architecture on the google cloud.

There is very good material, but it should be a thorough examination of the different tools and its code

This course was extremely confusing. I will most likely need to go through it again.

Good materials, but poor quality of the labs

The exercises and quizzes are too simple.

I expected more details, more deepness

Could elaborate more on dataflow

Got an overview of GCP pipeline

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The course at a very high level, students with no prior exposure to HDFS, SPARK and Apache beam will have hard time understanding any concepts. Labs are not productive enough, you just follow instructions, labs should be more challenging

I think the examples in the lab could be more interesting with examples using data set closer to business reality.

Also, some tutorials contain wrong steps and references to old tools

DataFlow part is really bad, no explanation in the lab excercises. Anyone could run them blindly and go through them. No way to verify if the lab understanding was good.

Some slides are missing in the resources, doing difficult to follow the video and take note. I would prefer to have material to read instead to follow videos

The labs had many errors. I spent most of the time solving errors and getting help from support team.

creating cloud composer environment took too long for about 45 minutes

Least favourite one so far from the course series

Poorly designed course

I didn't feel that I learned very much. I also ran into a lot of trouble with the labs. The Cloud Shell Editor was giving me issues. Fortunately, the support team was able to find a loop hole for getting around the error.

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Most labs are not working

Not engaging