It was rather confusing than helpful. A great overhead of doing the same configuration stuff for the first 4 labs: They could be combined to one greater Lab. The last 7th Lab was too complicated, I lost connection to the notebook all the time and had not enough time for understanding where and how I should run the predefined commands. I rather submitted the commands without thinking how, where and why, because I did not have time to think: The lab is too big for the short period of time. I would appreciate to have more time for understanding the commands (for example for ml engine and dataflow).

To be honest this whole specialization is a scam. There is promise of preparing to Data Engineer Cert, but the course just skims most of the topics, missing a lot others entirely. Please, at least have decency not to advertise it like this and remove it from official google certification page.

I was a bit disappointed at this course. It is after all data engineering track course but it seems like it's data science for those with ample data engineering skills. The course focuses more on basic ML concepts and less on the Google Cloud Platform specific boilerplate code. The things that are specific to Google Cloud are just viewed cursorily and I didn't really get much insight to them. Other issues with the course are that it's basically one big deprecation warning. Apache Beam cannot be run on Python 3 but Python 2 is about to deprecate. Furthermore, ML Engine is renamed to AI Platform but the course material hasn't applied that change yet. Instead it speaks about ML Engine. Additionally, distributed training isn't covered very well but it's marketed that Google Cloud does distributed training on its own. So basically after this course I learned that the services used in this course are probably not used by Google because everything is deprecated and about to become obsolete and the services are quite cumbersome to use.

I wasted to much time every lab setting up the environment with not enough time to go through and actually understand complicated code.

lab 7 is rubish

Lax is horrible. He's going around and around and around and around and around... and repeats and repeats and repeats.. mostly useless stuff. The course is Boooring... Not much about the GCP. Mostly 'intro to machine learning'

Very useful!

a powerful tool in a practical and simple way to empower data engineers with this tool possibilities

Very good class. Definitely the hardest of the 5 for me because I had no experience with ML before this course. I will probably go through this class again to gain deeper insights.

Excellent course. A very good introduction to Tensorflow. Teaches basic ML as well as more advanced topics. I liked the Cloud ML engine and feature engineering parts. Must be valuable in real world applications

ok

good

Thanks Google, you are doing great work and producing great quality contents

Quite knowledgeable. It touches all the aspects of Model building along with the Google Cloud implementation . Learned a lot out of it. Thanks a lot to Lak and team for the course

Lot of information are contained in this short course. It's a perfect approach to ML even if it's a bit confusing if you don't have previous experience. Great course learned lot of things.

Good course on Serverless Machine Learning with Tensorflow on Google Cloud Platform

Very good course, plan to take the 10 day course.

This is a great introductory course to Tensorflow. I prefer if you can explain some of the concepts using animation but that may be just my preference. However, I would love if you can think about it every time you explain a more complex concepts.

g

Very good introduction to the concepts of ML in GCP

Good Course

Detailed and incredibly useful for DE's

Good stuff...

Very good and interesting course. Not easy and very complex at the end

Super useful and it's showing the power of ML and how GCP can unleash the power of AI