About This workshop
This hands-on workshop provides a comprehensive introduction to TinyML, focusing on practical deployment of machine learning models onto microcontrollers and other low-power edge devices. Participants will gain experience with popular TinyML frameworks, optimize models for minimal memory and processing footprint, and integrate them with sensor data streams for real-time inference. You'll learn to preprocess data, train a simple classification model, convert it for TinyML, and flash it onto development boards, ensuring a solid foundation for creating intelligent, energy-efficient IoT applications. This is an essential event for engineers, data scientists, and hobbyists looking to push the boundaries of AI into embedded systems and create impactful solutions in energy management, environmental monitoring, and smart infrastructure.
