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Serverless Machine Learning with Tensorflow on Google Cloud Platform, Google Cloud

1,630 ratings
211 reviews

About this Course

***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** This one-week accelerated on-demand course provides participants a a hands-on introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn machine learning (ML) and TensorFlow concepts, and develop hands-on skills in developing, evaluating, and productionizing ML models. OBJECTIVES This course teaches participants the following skills: ● Identify use cases for machine learning ● Build an ML model using TensorFlow ● Build scalable, deployable ML models using Cloud ML ● Know the importance of preprocessing and combining features ● Incorporate advanced ML concepts into their models ● Productionize trained ML models PREREQUISITES To get the most of out of this course, participants should have: ● Completed Google Cloud Fundamentals- Big Data and Machine Learning course OR have equivalent experience ● Basic proficiency with common query language such as SQL ● Experience with data modeling, extract, transform, load activities ● Developing applications using a common programming language such Python ● Familiarity with Machine Learning and/or statistics SPECIALIZATION COMPLETION CHALLENGE As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for 'Data Engineering on Google Cloud Platform’ specialization. Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization including this one, anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $150 value given there are 5 courses in the specialization). You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles. Your challenge awaits – begin learning on Coursera today! Google Account Notes: • Google services are currently unavailable in China....

Top reviews


Jan 09, 2018

Thank you very much for making this course available on Coursera, I cannot agree more the knowledge of Mr Venkat. This is a great way to help people to get started with Google Machine Learning.


Sep 08, 2018

A very good course on TensorFlow, ML and Google MLE on GCP.\n\nThe Labs are self contained and the problems proposed are very challenging. I learned a lot on this course.\n\nThank you!

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205 Reviews

By Pierre Goutorbe

Apr 06, 2019

Really good

By Paripol Toopiroh

Mar 30, 2019

Very Nice Course

By Aleksandr Smirnov

Mar 17, 2019

The course is not very well balanced in my opinion. It is very sparse in very beginning and labs do not differ much. Last two modules are too much information and labs complexity grows exponentially.


Mar 17, 2019

Good Course

By Venkata Satyanarayana Reddy Karri

Mar 17, 2019

Good one to understand the basics of Machine Learning and how it can be done in GCP

By Kishore Kumar Pokuru

Mar 16, 2019

If we have good idea on tensorflow this is one of the best course to do.

By Vicente Gonçalves dos Santos

Mar 16, 2019

Hard content to learn but Labs really helped out.

By Francisco Alexander Diaz Zamora

Mar 15, 2019

El RSME inicialmente se fijo en $8 dolares.

Al final utilizando el metodo con Ingenieria quedo menor a $4.

Me quedo la incognita de como es posible que con los metodos intermedios pueden ser tan inexactos casi un 50% de error con respecto al valor esperado? En la vida real eso se traduce a millones de dolares en perdidas utilizando herramientas de Google Cloud Platform.

By Syed Muhammad Haider Jafri

Mar 11, 2019

Very quick and short introduction to machine learning. Should have been a bit longer. Understanding written code is easy. Courses should ask the students to write their own code as well. Otherwise 5/5 course~!!

By Camilo Gutiérrez

Mar 08, 2019

Useful course