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

1,415 notes
191 avis

À propos de ce cours

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....

Meilleurs avis

par 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.

par 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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185 avis

par Mariano Patricio Gonzalez Nuñez

Feb 14, 2019

Problems with the lab 7

par 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

par Suneel Sharma

Feb 08, 2019

good course, nice practical examples

par William Mitchell

Feb 08, 2019

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

par Cristhian Torres

Feb 07, 2019


par Keith Ansell

Feb 06, 2019

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

par ELINGUI Pascal Uriel

Feb 04, 2019

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

par Sanjana Chalavadi

Feb 03, 2019

The course seemed little superficial to me

par Ciprian Dirnu

Feb 02, 2019

This course/specialization is seriously insufficient in order to pass the GCP certification. A lot of knowledge from the Architecture course would still be necessary. The disclaimer about work experience does not cover that.


Jan 28, 2019