The workshop Smart Embedded Systems with Edge AI is designed with a strong emphasis on hands-on learning, where students will practically implement Artificial Intelligence on STM32 microcontroller boards rather than learning embedded concepts only at a theoretical level.
The key focus of the workshop is how AI models are deployed and executed directly on STM32 hardware, enabling real-time intelligent decision-making using sensor data.
Participants will work with actual STM32 development tools to understand how data such as voltage, current, temperature, or motion is processed and analyzed locally using Edge AI techniques.
Through guided practical sessions, live demonstrations, and industry-inspired use cases, students will experience the complete workflow of AI on STM32 from data understanding and model integration to real-time inference on hardware.
This approach ensures that students clearly understand why STM32 is used for Edge AI and how intelligence is built inside the controller itself, aligning closely with current industry practices.
The workshop bridges core electronics knowledge with applied AI on STM32 platforms, preparing students for future roles in embedded AI, IoT systems,and industrial automation.
