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

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.

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.

Very informative

You will have good general knowledge about ML on Google Cloud and also have experimented through Lab course

The course was good for the data engineers beginning with GCP, a bit more syntactical information can be added in the notebooks, it will this course even better.

Awesome course, but some of the technical aspect related to machine learning is still a bit confusing for me.

Excellent course.

Great tools.

Many challenges for a data engineer.

Got a good exposure

Interesting contents!! I learn a few new tricks.

I'd like the updated version of the course and lab with the new Tensorflow.org tutorials with Keras etc. Sorry about the 2 stars, apart of that I learned important things in the lab and course. I'll give a 5 stars with the updated version. Thanks.

good

This course was really good, too much informative and had a good learning curve

Easy way

Course is very good and detailed. It is really helpful.

A very detailed course for introduction to Tensor flow for Data engineers.

Just a introduction of deep learning tensorflow APIs using Google cloud. Could have explained in more detail about the functionality of Estimators and how Cloud ML Engine can be used. Outside this course there are not many documentation provided on these topics. It is a difficult task for beginners to use GCP for running high level APIs for machine learning.

Able to concentrate and stay focused for periods of several hours, even when tasks are relatively mundane, and doesn't make mistakes. He has a high boredom threshold. Always assured and confident in demeanour and presentation of ideas without being aggressively over-confident. No absences without valid reason in 6 months. Reaches a decision rapidly after taking account of all likely outcomes and estimating the route most likely to bring success. The decisions almost always turn out to be good ones.

This Course always completes any assignment on time and to a high standard. This Course has outstanding artistic or craft skills, bringing creativity and originality to the task. Aiming for a top job in the organization. He sets very high standards, aware that this will bring attention and promotion. This Course pays great attention to detail. He always presented work properly checked and completely free of error.

Good Course For Beginners on GCP.

A very complete course.

Excellent content .Great instructiors . BUt the lab sessions were very slow to run . Need more time for these may be 2 hrs .

I understand the complexity, this is why I rate 3 stars

the lab is outdated but features engineering is suitable for Data Engineer to implement on works