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Learner Reviews & Feedback for How Google does Machine Learning by Google Cloud

4,818 ratings
744 reviews

About the Course

What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data. We talk about why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models. Then, we discuss the five phases of converting a candidate use case to be driven by machine learning, and consider why it is important the phases not be skipped. We end with a recognition of the biases that machine learning can amplify and how to recognize this. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: <<<...

Top reviews


Nov 06, 2018

Great to know how to do machine learning in scale and to know the common pitfalls people may fall into while doing ML. Provides great hands-on training on GCP and get to know various API's GCP offers.


Mar 21, 2019

Really easy with all instruction.I didnt feel bored at any point gave me the basic idea of what is machine learning and how easy google made API's and cloud platform for machine learning\n\nThank you

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26 - 50 of 737 Reviews for How Google does Machine Learning

By Fazeel H U

Jan 06, 2020

A must-take course for the young engineers, entrepreneurs to build their projects easily quite efficiently. Don't waste time in training already built models just use them, make efforts in developing models which don't exist. Thank you, Google for creating such an amazing, engaging course.

By Ahmed S

Aug 12, 2018

I took several machine learning courses in my university. This course is much easier to follow and covers many aspects which were ignored in all the courses I've attended till now. The video explaining the ML surprise, ML pitfalls and ML and Business Processes are exceptionally useful.

By Francesco R

Nov 15, 2019

The course provided an interesting overview of the strategic aspects of a ML application and an introduction to Google tools for ML and data analysis. I would have liked a more hands-on approach but I have to admit that the contents were nicely presented and very interesting.

By Asam S

Jul 10, 2019

Great course. As a non data scientist, I found the lectures easy to follow and was able to take away some of the key messages that I could take to my clients. I will however need to revisit some of the sections on APIs and the codes, but the steps presented seemed logical!

By Soham M

Oct 10, 2018

A really great course for ML practitioners to get the broad picture of end-to-end ML design process with in-depth insights into the scalability issues in production systems and real life business decisions that have shaped the Google ideology of being a AI first company.

By Kevin

Jun 12, 2018

Definitely not a technically intense course, but definitely serves as a great introduction to the Google Cloud Platform and the functionality within. It is great to see Google think of so many niche parts of data science and put them into a standard spot, which is GCP.

By Om D

Dec 08, 2019

Awesome Course !!!

Got to know How Google Does Machine Learning. This course changed my perspective of looking the machine learning from a different perspective. I got to know about only building the model is not important but other stuff is also important. Thanks :)

By Amir Y

Aug 21, 2018

My first online course. I am not a programmer, more of a data guy and idea person. Been away (3 years) from working closely with developers using new technologies. So if you'd like to get back into more tech and AI is of interest to you this course is a great start.

By afonso o l

Feb 12, 2020

Introdução ao jeito do Google pensar ML, Fluxo para uso de ML e como chamar as principais classes no jupyter Lab dentro do GCP para projetos de Machine Learning.O exercício de conclusão é um exercício com a classe FACE_DETECTION, simples mas bem interessante.

By Ohiri E

Dec 12, 2019

I am grateful to Google Cloud Africa for making this course free. I must say, I have learnt much. I never took BigQuery SQL course i had serious but now, am studying and practicing daily. Thank you to the team members for finding time to demystify this course.

By Alaso L K

Oct 20, 2018

What can I say... The course is deep, teachings are profound, and it makes you realize how huge and powerful ML field is and the awesome and myriad solutions this technology can solve... Plus you get hands on labs with GCP and its suite of world class APIs

By Monsij B

Dec 28, 2019

Prior to taking this course, I was completely unaware of how to get started using vast features developed by Google AI. This course has provided me a strong foundation to build upon. Highly recommended course!!.Thanks Coursera and of course Google :-)

By Luftwaffe

Sep 30, 2019

Amazing beginner-level tutorial for ML and some important mind set-ups! I started to gain more curiosity and passion to dive more into these fabulous science! Thanks to Google Cloud Platform team which build all these materials up and offering to us.

By Dana H

Aug 18, 2018

Great introduction to Google Cloud and how Google approaches machine learning. Using Google Cloud, Datalab and the other technologies in this course truly allow you to stand on the shoulders of giants to make challenging things relatively simple.


Mar 19, 2019

I learnt the basic of Google Mchine learning but I have to watch the lectures again and again as I don't understand it completely. I think the course need some improvement for the students like us who don't know anything about Machine learning.

By Sergio B S

May 02, 2018

As usually the Google Courses to learn Data Engineering and Machine Learning are the best entry point to get practical knowledgde about how to put your data products in Production. Great intro to motivate diving on the rest of specialization.

By Ioana P

May 25, 2018

I' wanted to try the GCP for a few months now, but when I took a quick look at the API, it was overwhelming. This course helped me shed some light into how to use Google Cloud services and taught me how to run python code in the cloud.

By Jafed E

Jul 06, 2019

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

By Shivam M

Aug 04, 2018

The course is totally practical based, i learned a lot including how to use google cloud servers. This course teaches how google and other companies are using machine learning for improving their services and overall user experience

By Enrico A

Aug 26, 2018

Good introduction to Google's approach to Machine Learning relying on cloud services. As a result, the course will be focused on their technology, but access is free. There are some browser-related problems with the labs, tough.

By Chee L L

Dec 09, 2018

Truly open my eyes on how Google can help lead businesses transform their core business process/task with data. Also learnt a lot about Google Cloud Platform and its services, highly recommend to people in the analytics field.


May 26, 2018

Its not just about ML and Tricks. This course has got everything, starting with raw dataset, process and pitfalls. Anybody interest to learn ML in best way, this is the best possible course with offered-able price.

By Kara d l M

May 13, 2018

This course was an excellent introduction to ML and made ML on GCP accessible. I really appreciated and enjoyed the lessons which addressed bias in ML models, including techniques to detect and surface that bias.

By Kaustubh M H

Jan 29, 2019

I got to learn a lot of new things from this course. Especially, I was able to understand what were the most important aspects that a ML engineer will have to focus on.

This course was an eye opener for me.

By hui y

Oct 08, 2018

An informative introduction filled with practical advices! The three hands-on labs hosted on QwikLabs made this course even more relevant for one who is seriously about applying machine learning on GCP.