This is a good introduction to how cloud services work and what kinds of data storage are available, but it was weak on machine learning. I like Lak, the instructo, because he draws clear connections and makes insightful generalizations.

This is a good introductory course for GCP. This course assumes you are a hands-on engineer, know some level Python and worked some cloud environment. Well, if you are a AWS user, this will give you a quick overview to get you started.

I enjoyed the course especially all the lab exercises. However, I feel this should be course 2; course 1 should be Google Cloud Infrastructure concepts. For beginners in Cloud, like myself, this could be of immense value to start off.

It is what it says: Fundamentals. If you are looking for learning how to use GCP, this is your course. But, if you are hoping to find an inmersed course into how to use GCP, just look out for other, or pack all GCP courses together.

A good overview of Google compute services. It has a bit of sales pitch to it that distracts from learning. The class would give anyone knowledge that such (Big Data) technology exist and where to find more information as needed.

The content was pretty good, the teachers were great and easy to understand. I think that they should have a focus on explaining a bit more about Big data like they did with ML. but overall, great course to learn the basic of GCP

Its a demonstration of some google cloud tools. The tools like to be efficient to work. Big Query is a nice tool.But this courses is too short. Poor pratical exercises for training. Its a kind of demonstration of google tools.

The course is good for beginners. All the sessions are well planned for beginniners. I had issues with qwiklabs. We do not have a help desk where we can raise or consult the issue with Apart, from that it was a good experience!

This course on Big data and Machine Learning Fundamentals was instrumental in arming me with the knowledge I need to truly understand core concepts in the GCP world and inch a step closer to the data engineering certification

The lecture videos are excellent: short & sweet, and comprehensive. The proramming assignments, while most of them are short n sweet as well, aren't well explained and assumed a lot of background (e.g. specialized ML methods)

This hands on Lab experience helps to give a better Understanding of Google ML, Data Pipe Line ,Apache Beam,PUB /SUB ,AutoML like products and how they are being orchestrated in Google Cloud Environment.

Thanks

Google & Team

Very educational course covering a lot of ground. The material was not quite up-to-date but not too bad. On one lab I needed to modify the example code more than just the lines marked for editing to get the code to execute.

slow on easy parts (beginning)

too fast on ml, not that hard but not much information shared

toooo fast on pubs and data flow (but maybe more details in next courses)

Otherwise a good introduction to some of the GCP products

I thought it was great! Interactive, informative. The only thing that was not straight forward was getting the Google Cloud Datalab to work. Other than that it was awesome. If that was fixed, I would say it is 5 stars.

I enjoyed every training so far it was easy to follow and straight to the detail, I'm more confident about GCP and Machine Learning and will love to do more practice and experiments on my own. Thanks for the journey:)

Good high-level introduction to GCP big data tools. Labs and lectures are very good. It would be nice if the labs encouraged more experimentation. This is somewhat repressed by the temporary nature of lab GCP account.

O curso é ótimo, porém o último laboratório possui muitos erros processuais, mesmo executando passo-a-passo o sistema não finalizava com sucesso, mas aprendi os principais conceitos e produtos oferecidos pela Google.

Great content by the Google Team to learn the various products and concepts applied in GCP. I would have preferred some more challenging labs with hands-on practice rather than just copying pasting provided code.

Some of the labs contain repetitive elements, would have been better to combine them I feel as the split make the labs tedious (though for the first couple of labs, repetition helps to get used to the tooling)

Good presentation at a high level. Suitable for people with experience, since it doesn't go into details. I think that people new to the concepts will have to do a lot of reading, or take things at face value.

Good Explanations. I reduced the one star because at some point I feel that the tutorials are not updated as per labs. Content is good but sometimes I lost searching for the next step while doing the labs.

I was not able to perform the last activity fue to a lack of permissions to access the Storage Product.

Despite that, I found all the ocntet very valuable and very precise as to be an introduction for GCP.

This course is mainly an overview of how you can leverage Google's cloud offerings for machine learning. There were a couple of labs that were a little off, but would recommend for a very basic overview.

Without a doubt the best course, I have learned a lot not only from GCP but from many aspects of cloud computing and the skills necessary for a data engineer. Thank you very much for the opportunity.

In general - great course with a good introduction to GCP tools and platform. Some of the materials might need to get updated though as it seems they are a bit behind the new version of the platform.