Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Google Cloud

Serverless Machine Learning with Tensorflow on Google Cloud Platform

Google Cloud and Google via Coursera

This course may be unavailable.

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

Syllabus

Welcome to Serverless Machine Learning on Google Cloud Platform

Module 1: Getting Started with Machine Learning

Module 2: Building ML models with Tensorflow

Module 3: Scaling ML models with Cloud ML Engine

Module 4: Feature Engineering

Taught by

Google Cloud Training

Reviews

Start your review of Serverless Machine Learning with Tensorflow on Google Cloud Platform

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.