Deploy AI and applications to edge devices. IoT sensors, MQTT, AWS Greengrass, and edge ML inference.
Student sets up a Raspberry Pi device for edge computing, demonstrating ability to configure and deploy edge devices, and proves understanding of basic edge computing concepts.
Student builds an MQTT-based sensor data publisher using Python, demonstrating understanding of MQTT protocol and ability to integrate sensors with edge devices.
Student creates a Node-RED dashboard for real-time sensor monitoring, demonstrating ability to design and deploy user-friendly dashboards for edge computing applications.
Student installs and configures AWS Greengrass Core on a Raspberry Pi device, demonstrating understanding of AWS Greengrass and its role in edge computing.
Student writes a Python script for data processing on edge devices, demonstrating ability to process and analyze data at the edge.
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