Build smart embedded systems with hands-on AI for vision, audio, and natural language tasks.
Edge AI is revolutionizing embedded systems by bringing powerful machine learning capabilities to low-power devices. This hands-on course explores how AI can be deployed for visual AI (object detection with a camera), audio AI (keyword and command detection), and even lightweight large language models (LLMs) for natural language processing.
Designed for aspiring engineers and developers, students will explore how to leverage AI to enhance the capabilities of embedded hardware like low-power MCU-based systems on a chip ESP32-S3 by Expressif. Over eight sessions, participants will learn the fundamentals of AI, build and optimize neural networks, and deploy custom AI models for real-world applications.
With a strong emphasis on practical application, this course blends in-class exercises, homework assignments, and project-based learning to ensure a deep understanding of AI's potential in embedded systems. Whether you're new to AI or looking to enhance your expertise, this course offers the tools and knowledge to innovate in the rapidly growing field of embedded AI.
Learning Outcomes
At the conclusion of the course, you should be able to:
You will need programming experience in Python.
This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.
To see all meeting dates, click "Full Schedule" below.
Electronic Course Materials: You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
Note: Students will need to purchase a development board for coursework. Below is a list of examples, approximate cost $100:
