Machine Learning in the Cloud with AWS Batch

This course describes how to run and accelerate your machine learning applications in the cloud using AWS Batch. AWS Batch is a fully managed service that enables you to easily and efficiently run batch computing jobs on AWS. This course provides an introduction to AWS Batch, explains the main components of the service, and reviews a few examples of batch processing architectures.

Duration

20 Minutes

Course objectives

This course is designed to teach you how to:

• Describe the main components of AWS Batch and how they function

• Identify various batch processing dependency models

• Describe the steps in a typical batch processing workflow

Intended audience

This course is intended for:

• Developers, scientists, and engineers who need to run batch computing jobs

• Solutions architects who are designing batch computing workflows

Prerequisites

We recommend that attendees of this course have:

• Understanding of batch computing concepts

• Experience using AWS compute resources, including Amazon Elastic Compute Cloud (Amazon EC2)

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Course outline

• Compute instance types and storage options

• Overview of AWS Batch

• AWS Batch components

• Job dependency models

• Integration with other AWS services

• Example batch processing architectures