Hands On Training

Deploying TensorFlow Models to AWS, Azure, and the GCP

via

Pluralsight

Course Features

Duration

2.18 hours

Delivery Method

Online

Available on

Downloadable Courses

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Effort

2 hours per week

Teaching Type

Self Paced

Video Content

2.18 hours

Course Description

It can be difficult to deploy and host your TensorFlow model on your local platform or on your cloud platform choice (Azure, AWS, or the GCP). This course, Deploying TensorFlow models to AWS, Azure and the GCP will show you how to get your model into production on the platform that suits your needs. The course begins by showing you how to save model parameters from a trained model via the Saved Model Interface, which is a universal interface for TensorFlow model. The next step is to learn how to scale the locally-hosted model by packing all dependencies into a Docker container. The AWS SageMaker service is Amazon's fully managed ML service. The final step is to deploy your model on Google Cloud Platform using Cloud ML Engine. You will learn how to set up a production-ready TensorFlow Model and how to train it on your local machine as well as on the major cloud platforms. TensorFlow and Python are required.

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

Containerizing TensorFlow Models Using Docker on Microsoft Azure

Deploying TensorFlow Models on Amazon AWS

Deploying TensorFlow Models on the Google Cloud Platform

Using TensorFlow Serving

Course Content

Expand all sections

Module 1: Using TensorFlow Serving

Module 2: Containerizing TensorFlow Models Using Docker on Microsoft Azure

Module 3: Deploying TensorFlow Models on Amazon AWS

Module 4: Deploying TensorFlow Models on the Google Cloud Platform

Course Instructors

Amber Israelsen

Instructor

Amber has been a software developer and technical trainer since the early 2000s. She holds certifications for AWS and a variety of Microsoft technologies. In recent years, she has focused on AWS, Azu...