The robotics industry is growing at a rapid rate, creating a need for people with the varied skills required for robotics (mechanics, electrical, software, and more). In this course, you will learn how to use the cloud and Amazon Web Services (AWS) to help accelerate your robotics development.
You will also learn about industry trends in robotics, the evolution to next-generation robotics in the cloud, and how AWS can solve common challenges for robotics companies. Finally, you will learn common patterns and best practices for robotics workloads on AWS.
   •   Course level: Fundamental
   •   Duration: 30 minutes
Activities
This course includes presentations, demonstrations, videos, and assessments.
Course objectives
In this course, you will learn to:
   •   Understand the evolution of the robotics industry
   •   Identify common robotics challenges
   •   Identify the advantages of using AWS for robot development
   •   Identify relevant AWS services for robotics workloads
   •   Follow common patterns for robotics on AWS
   •   Build modern applications for next-generation robots
Intended audience
This course is intended for:
   •   Solutions architects
   •   Software developers
   •   Roboticists
Prerequisites
We recommend that attendees of this course have:
   •   Understanding of basic robotics concepts such as sensors, actuators, and microcontrollers
Course outline
Module 1: Evolution of Robotics
   •   Introduction
   •   Industry trends in robotics
   •   How the cloud is driving next-generation robots
Module 2: Using AWS to Build Next-Generation Robots
   •   Common challenges for building next-generation robots
   •   Advantages to using AWS for robotic development
   •   Taking your robots global
Module 3: End-to-End Capabilities for Cloud Robotics on AWS
   •   Common workflows and patterns for cloud robotics
   •   Deploying software to fleets of devices
   •   Streaming video and teleoperating your robot
   •   Intelligent robots with machine learning inference
   •   Testing and validating robots with simulation
   •   Fleet monitoring and dashboarding
   •   Fleet management
   •   Gaining insights from robot data
   •   Building a complete robot CI/CD pipeline
