It was a good introduction to how Google thinks about Machine Learning. Nice introduction to the tools (Google Cloud Platform, Big Query, Python Notebooks, and Google's pre-built APIs).

A great learning experience and importantly those practical classes were very helpful.

I would like to thank Google and Coursera for collaborating and bringing out this amazing course.

The course covers lots of best practices when transferring an organization into a ML organization. It's not too technical but covers high-level concepts and know-how. I really like it

Interesting course well graded to give us an introduction of Google AI perspective and his amazing tools, humans can achieve everything with clear goals. Thanks Coursera and Google.

Machine Learning API's were really cool stuff to learn and see the examples running.

Though a little more emphasis is needed to understand the codes used in the final lab session :)

Excellent course -- I was a little concerned that the last lab wasn't working properly today... I could never complete it due to issues with creating a notebook within the datalab.

Thank you so much for everything! great course, great content and great production!

One area of improvement though , would be to make sure that the code actually updated/working

I enjoy this course a lot. It's a great introduction for how Google does Machine Learning. I learned so much material throughout the course. Five star course. Thank you, Google!

Excellent start point of this well designed course. It gave a fair idea about Google's way of thinking about ML. It's really intriguing me to go through the rest of the modules.

Great introduction and hands-on labs that give a quick preview of what to expect the power of ML and the strategies and processes one must consider for a project of this nature.

very good resources and good knowledge in the field of instructor, specially ms, sara robinson. I like her lectures. i am willing to pursue more courses in this specialization.

This is an Amazing course which gives introduction to Machine learning with a decent hands on experience using Quicklabs. Excellent documentation and the code works seamlessly.

It is a great opportunity given by Coursera to learn on such a high platform with a great environment and earn the certificate and to boast confidence to do better in life.

Extremely useful! And a beautifully crafted course for a beginner to Google Cloud Platform. Very practical approach that suits the practical needs of to-be practitioners.

This course opens eyes to real world data science projects' workflow. It is important to understand big picture and see dependencies general parts of DS from each other.

Its wonderful, one to experience the really how Google does machine Learning ...big kudos to team Google for creating this plat form, it really help research community.

The Best Course on Giving a Basic Idea of How to Get into Machine Learning Over GCP and Use Pretrained Modules etc Thanks Google and Coursera For this Wonderful Course

Very well structured course to get started into ML. Takes the barriers to learning by making things really simple to understand. The instructors were really great too!

An amazing course which provides real world perspective on Machine learning from conceptualization to deployment. I hope to see more exercises as part of the course.

Practical overview with much needed non-technical context! Very much enjoyed this course! ML surprise, path to ML and ML strategy sections are particularly good.

At the end it was very entertaining to use various images to detect test and sentiment. Even tried some watermarks, alas the vision API doesn't detect watermarks.

A surprisingly comprehensive introduction to Google's approach to ML. Th course is pragmatic to how projects develop as well as current GCP offerings around ML.

I am very impressed with the course. Very practical. How to communicate with API seamlessly. Working on cloud. I was impressed. Thank you Google for this course.

It was very useful to spend some time confirming the fact that actual ML is a small part of Machine Learning. Other high level concepts were also interesting.

Examples in contents are timely and engaging. It would be great if there is some food for thought for advanced users/students after each learning objectives.