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Serverless Machine Learning With Tensorflow On Google Cloud Platform

Hosted by: Google | Coursera


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Course Overview

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:

• You'll need a Google/Gmail account and a credit card or bank account to sign up for the Google Cloud Platform free trial (Google services are currently unavailable in China).

• If you are a Google Cloud Platform customer with European Union (EU) and Russian billing addresses, read the VAT Overview documentation at: https://cloud.google.com/billing/docs/resources/vat-overview

• More Google Cloud Platform free trial FAQs are available at: https://cloud.google.com/free-trial/

Contact Details

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