GCP content is crips and easy to consume as always.

The labs are a little buggy, especially in Safari. Also, they are not particularly challenging, so while you may not retain information because you don't fully engage with them, they are still a useful way to learn actively.

The course is great. I got an excellent introduction to Google Cloud Platform. The only issue is with Quicklab instruction site: no way I can put my instruction site on one side, and cloud console on the other side, so that I can type instructions in stead of copying them.

Very informative course and good introduction to diff products offered on Google Cloud. There are some content issues and video usage issues that can be fixed to make it even better. If you ignore these then this is the best course that you can take to get started on GCP.

Provided a very good intro. I felt that there were too many new tools to remember. But i expect it is the same for anything else. It is challenging for a novice. For someone who is looking for a challenge , it is very easy. For me, it was somewhere in the middle.

Very good overview provides enough details and provides resources to learn more.

it would help if we were given 1 user id and password to do labs again and again and account is valid for say 3 months. it will allow us to get more familiar with google cloud.

The instructor does a really good job and there is a lot of good information. Unfortunately in several places the platform UI has changed since the course material was created, so it was pretty confusing at some points, but I finally figured out what to do.

Nice introduction course and good presenter. The course provides a good overview of main data/ML capabilities of GCP. The labs however can be a bit repetitive and would love a to see them a bit more challenging rather then following a very precise runbook.

Excellent introduction to GCP capabilities! I am a data scientist and clearly see the sheer power and efficiency GCP can bring to organisations, especially ML APIs. It'd be great if all three steps in data science track be added as single specialisation.

The course is very good for beginners and intermediate to know the whole scenerio of machine learning involvement in business and mainly about the great services offered by googel cloud platform making it eligible for anyone to use it for their business

Unusually short one but intensive. Focused on Google products. Has opened my eyes toward GCP offerings and how they can be used within ML area. As outcome you will have GCP account on hand plus bunch of ideas how to use it during 12 month of free trial.

The overall information and understanding of the GCP are delivered comprehensively. But, the exercises for practical work were not very involving for the students, as most of the time majority of steps were pre-completed or written by the instructors.

C'est un excellent cours qui permet d'avoir une idée global de l'architecture de GCP et de l'utilité des services offerts par Google. Les vidéos sont bien faits, les concepts bien explicités, les shémas sont complets et très facile à comprendre.

Was a very fantastic experience and the course manager was really good in delivering the course at a step by step and sometimes he will even repeat steps he has already covered in previous videos and for me this was really good for beginners

The overall course provides a hands-on approach to Google Cloud Platform fundamentals. Although some parts are skipped like Model Training to save compute and overall time allocated by QuickLabs. Overall a bit steep learning but enjoyed it.

would be better if it can be a bit more structured; i'd prefer the GCP core infrastructure course as it's more structured and always mention the big pictures when describing part of the details. But overall it's good learning experience.

I think this course must be transformed and stop using codelabs in favor of quiklabs, which would be better for all students, as there would not be billing constraints on the people's accounts.

Overall, this was a great course.

Thank you.

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