I wish there were more line by line code explanations of what we do in labs. That way it would be easier to experiment and create our own variations.

despite some not-so-convenient use of labs, this materials are designed carefully. fisrt week, you get to know the google flow of machine learning.

A nice helicopter view of Google ML! some of the user interface is different with the one demonstrated in the videos but it's not a big problem.

The course is full of information and excellent content. The trainers are very good. There are certain technical issue with the lab/assignment.

Great intro course, maybe a bit more explanation on google cloud services would have helped more otherwise great course with good hands on labs

The overall course content is amazing. Got to know about few new terms. In my opinion there should be more detailed explanation at few stages.

I could learn ML concepts at my own time and pace. I also learned how to use ML on cloud platform and use Google APIs in ML for real projects

The first part is excellent. The second part is more Google product ads. Labs are not 100% up to date and some things are simply not working.

I think GIT usage for notebooks in Cloud Repositories should have been covered in the course as it is widely mentioned and never explained.

It's a good advertisement for Google products. As the start to a specialization in ML, it seems a little over-the-top with advertisement.

A bit basic! Also I would have wished for more self-work and less copy-paste. However, I now know how to use part of the ML-google cloud

This module was great. My downside was I did not notice the resources tab until I was well into the module, but information was great!

Could have been more elaborative, but very good course as an introductory course. Learnt some common pitfalls in Managing ML projects.

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be more interactive, and hands on. I found too much was spoon-fed in the labs. More exploration should be encouraged.

This course really simplifies how google does ML. It expatiates on Googles ML product and how to utilizes them in Production

It is a great course as an introduction to google cloud services. Mostly theory part is there. Lab sessions are excellent.

It's great experience to start with awesome videos like these. Great organizing, materials and ways to deliver information

the course is well structured with right amount of details ,this course is more google focused and how does what it does

A bit abstract in some areas, but very good in others. And the labs are nice to get some experience with the tooling.

It would have been better if the code was properly explained in module 5. Overall excellent course and fun to learn.

The videos were easy to understand. External tools had proper set of instructions as to how to access various tools

this course is a very helpful one for getting the basic knowledge about how ML is applied in advanced technology.

As a novice machine learning engineer these high level lectures are best viewed in the end of the specialization.

Some of the quizzes seemed to test material that wasn't covered in lecture. I like the section taught by Josh.

Hands on use of tools. lon gwait times an CO2 use to again train a model - pre shared models could heal this