Overview

Revolutionize your organization with machine learning on Amazon Web Services (AWS).

This DTPE-AWS-MLC: Machine Learning in the Cloud with AWS Batch 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.

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Skills Covered

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

Who Should Attend

This course is intended for:

  • Developers, scientists, and engineers who need to run batch computing jobs
  • Solutions architects who are designing batch computing workflows

Course Curriculum

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 Modules

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Training Options

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