This advanced course explores the rapidly expanding
field of deploying artificial intelligence directly onto
edge devices and integrating it within vast Internet of
Things (IoT) ecosystems. It addresses the critical
challenges of running sophisticated AI workloads on
resource-constrained hardware—such as
microcontrollers, single-board computers, and
specialized sensors—where power, memory, and
computational capabilities are inherently limited.
Students will develop specialized expertise to design,
optimize, and implement efficient, real-time AI solutions
that operate autonomously on the device, significantly
reducing latency, conserving bandwidth, and enhancing
data privacy by minimizing constant reliance on cloud
connectivity. This course prepares future engineers and
developers to unlock transformative applications in
smart manufacturing, autonomous vehicles, predictive
maintenance, smart cities, and beyond.