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.

Status: Planned

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