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

4.4
1,431 ratings
192 reviews

About this Course

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 Google Account Notes: • Google services are currently unavailable in China....

Top reviews

By NP

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.

By MG

Sep 21, 2017

Great course! I've learnt a lot. The concepts where super clear. The coding part was a little difficult, I didn't understand all af it, but it's good to have a complete example to use.

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188 Reviews

By Pavel Sivakou

Feb 20, 2019

Although the course is positioned as intro to machine learning with TensorFlow, it includes too many low-level details that you are unlikely be able to conceive without prior knowledge in machine learning and TensorFlow. The parts devoted to feature engineering and hyperparameter tuning are fully chaotic.

By Cameron S Banowsky

Feb 20, 2019

Excellent course.

By Mussie Nadew

Feb 18, 2019

This is a great introductory course to Tensorflow. I prefer if you can explain some of the concepts using animation but that may be just my preference. However, I would love if you can think about it every time you explain a more complex concepts.

By Mariano Patricio Gonzalez Nuñez

Feb 14, 2019

Problems with the lab 7

By Arvind Kumar

Feb 14, 2019

only Lab7 has troubled me due to incorrect code for the installation. It should be:pip install --upgrade pip

conda update -y -n base -c defaults conda

source activate py2env

pip uninstall -y google-cloud-dataflow

conda install pytz==2018.4

pip install google-cloud-dataflow

pip install apache-beam==2.5.0

By Suneel Sharma

Feb 08, 2019

good course, nice practical examples

By William Mitchell

Feb 08, 2019

Good course on Serverless Machine Learning with Tensorflow on Google Cloud Platform

By Cristhian Torres

Feb 07, 2019

LAB 7 NOT WORKING PROPERLY

By Keith Ansell

Feb 06, 2019

Very good course, plan to take the 10 day course.

By ELINGUI Pascal Uriel

Feb 04, 2019

Thanks Google, you are doing great work and producing great quality contents