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Edge AI & TinyML — AI on Microcontrollers

Complete Edge AI and TinyML course: from sensor physics and data collection to production neural network deployment on microcontrollers. TensorFlow Lite Micro, Edge Impulse, ONNX Runtime Mobile, Arduino TensorFlow Lite, ESP32-S3 with vector accelerator, STM32 with X-CUBE-AI. Quantization (int8, int16, pruning), audio (Keyword Spotting), vision (person detection), IMU (activity recognition), sensor fusion. Every module has working Python + C++ code.

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