Hands-On Edge AI: Developing Embedded AI/ML Applications

About this Tech Talk

AI/ML at the edge is rapidly transforming how IoT devices sense, interpret, and respond to the world around them. But moving from concept to a working embedded AI application can feel complex and fragmented.

This Tech Talk is designed to simplify that journey.

In this session, we will build an AI/ML application step-by-step, walking through the full development flow from model integration to deployment on an embedded device. The focus will be on practical implementation — understanding how models move from development to embedded inference, how performance and memory tradeoffs are evaluated, and how tooling supports efficient iteration.

By the end of the session, you’ll have a clearer roadmap for bringing AI/ML capabilities into your own embedded designs.