edX
edXAdvanced Embedded Systems on Arm
516 studentsINTERMEDIATEEnglish
Korshub's take
IoT & Machine Learning at the Edge
This advanced course tackles embedded systems where real computing happens—on microcontrollers and IoT devices, not cloud servers. You'll develop programs that control sensors and peripherals, transmit data via Bluetooth and Wi-Fi, and run machine learning models on Arm processors with tight memory and power constraints. Topics span Neural Networks and Convolutional Networks down to practical computer vision deployment via CMSIS-NN. It's designed for engineers who need to understand the full stack: from hardware basics through edge-based ML. A specialized skill set for the IoT revolution where compute must be local, not cloud-dependent.
About this course
An understanding of the fundamental concepts, evolution, challenges, and technologies that are enabling IoT. ,How to develop programs to control peripherals and sensors on a microcontroller, with the aim of transmitting data to mobile and cloud-based applications using Bluetooth and Wi-Fi. ,How to use a simple heuristic model in the cloud to predict different classes of activities using the sensors on-board a microcontroller in real time. ,How to get started with ML on Arm-based microcontrollers, including an appreciation of the fundamentals of Artificial Neural Networks, Convolutional Neural Networks and Deep Learning. ,How to deploy computer vision models using CMSIS-NN.
Price
$198
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