Serverless Machine Learning with Tensorflow on Google Cloud Platform

via

Pluralsight

Course Features

Duration

5.2 hours

Delivery Method

Online

Available on

Downloadable Courses

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Effort

5 hours per week

Teaching Type

Self Paced

Video Content

5.2 hours

Course Description

This course teaches you how to scale, operationalize and build machine learning models using Google Cloud Platform. You can build ML models on GCP using TensorFlow, an open source ML package. Then you can train them and deploy them in a non-serverless manner with Cloud ML Engine.

Course Overview

International Faculty

Case Based Learning

Post Course Interactions

Case Studies,Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Building ML models with Tensorflow

Feature Engineering

Getting Started with Machine Learning

Scaling ML models with Cloud ML Engine

Course Content

Expand all sections

Module 1: Welcome to Serverless Machine Learning on Google Cloud Platform

Module 2: Getting Started with Machine Learning

Module 3: Building ML models with Tensorflow

Module 4: Scaling ML models with Cloud ML Engine

Course Instructors

Google Cloud

Instructor

Google Cloud can help solve your toughest problems and grow your business. With Google Cloud, their infrastructure is your infrastructure. Their tools are your tools. And their innovations are your innovations.