AWS Robomaker

1. Development Environment: Integrated with ROS (Robot Operating System) for seamless robotics application development.
2. Simulation: Managed simulation service for testing and validating robotics applications in a virtual environment.
3. Fleet Management: Tools for managing, updating, and operating fleets of robots efficiently.
4. Cloud Extensions: Integration with AWS services like AWS IoT, Amazon Kinesis, Amazon Lex, and Amazon Polly for advanced functionalities.

Before learning AWS RoboMaker, it's beneficial to have the following skills:

1. Basic Robotics Knowledge: Understanding of robotics principles and concepts.
2. Programming: Proficiency in programming languages like Python or C++.
3. Robot Operating System (ROS): Familiarity with ROS, its architecture, and its tools.
4. Cloud Computing: Basic knowledge of cloud computing concepts and AWS services.

By learning AWS RoboMaker, you gain the following skills:

1. Robotics Development: Proficiency in developing and deploying robotics applications using ROS (Robot Operating System).
2. Cloud-Based Simulation: Ability to create and manage simulations in a cloud environment, testing robotics applications without physical hardware.
3. Fleet Management: Skills in managing, updating, and monitoring fleets of robots remotely.
4. AWS Integration: Expertise in integrating robotics applications with various AWS services like AWS IoT, Amazon Kinesis, Amazon Lex, and Amazon Polly for enhanced functionalities.