TinyML & Edge AI Deployment

This workshop explores the concepts of TinyML and Edge AI, focusing on deploying machine learning models on resource-constrained embedded devices. Participants will discover how to run AI models directly on microcontrollers and edge devices, covering model optimization, deployment techniques, and real-time data processing. The session aims to provide practical insights into bringing AI capabilities closer to the data source while reducing latency, power consumption, and dependence on cloud computing.