TRACK 02

Edge AI and Embedded Systems

TinyML, RTOS, and real-time inference on constrained hardware. Covers Arduino, ESP32, and Raspberry Pi.

TinyML, RTOS, 제약 하드웨어 실시간 추론. Arduino, ESP32, Raspberry Pi 실습 포함.

Prerequisites

Track 01 or equivalent experience with microcontrollers.

Units

  1. RTOS fundamentals for AI tasks
  2. TensorFlow Lite for Microcontrollers
  3. Edge Impulse workflow: collect → train → deploy
  4. Quantization and pruning strategies
  5. Interrupt-driven sensor pipelines
  6. Power budgeting for always-on inference
  7. OTA model updates
  8. UART / I2C / SPI for sensor integration
  9. Benchmarking: latency, accuracy, power
  10. Capstone: always-on keyword spotter on ESP32