Amazon Web Services (AWS) RoboMaker Training Course

Overview

Amazon Web Services (AWS) RoboMaker is an open source, cloud service that helps users quickly create and deploy robotics applications. AWS RoboMaker enhances the Robot Operating System (ROS) framework with its cloud, machine learning, monitoring, and simulation services.

This instructor-led, live training (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices.

By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Requirements

• Experience with application development
• Familiarity with Amazon Web Services (AWS)

Audience

• Developers

Course Outline

Introduction

Overview of AWS RoboMaker Features and Architecture

• Key concepts and features
• Robotic development lifecycle

Getting Started with AWS RoboMaker

• Setting up an AWS account
• Configuring the environment
• Building and deploying applications
• Running simulations
• Launching sample applications

Developing Applications with the Robot Operating System (ROS)

• Creating a new robotic application
• Building and bundling applications
• Simulation jobs
• Cloud extensions

Working with Robot and Simulation Applications

• Robot and simulation application actions (create, view, update, delete)
• Robot application version actions
• Simulation application version actions

Building Worlds with Simulation WorldForge

• Concepts and templates
• Common tasks
• Managing templates and jobs
• Managing generated worlds

Running Simulation Jobs

• Configuring Amazon VPC
• Accessing data
• Managing simulation jobs
• Simulation tools

Managing Robots, Fleets, and Deployments

• Creating and deleting a robot
• Registering and deregistering robots
• Creating and deleting fleets
• Deployment jobs

Monitoring and Protecting AWS RoboMaker Services

• Logging with AWS CloudTrail
• Monitoring with Amazon CloudWatch
• Data protection and authentication control
• Infrastructure security
• Tagging resources

Troubleshooting

Summary and Conclusion