Introduction to On-Device AI

As AI moves beyond the cloud, on-device inference is rapidly expanding to smartphones, IoT devices, robots, AR/VR headsets, and more. Billions of mobile and other edge devices are ready to run optimized AI models. This course equips you with key skills to deploy AI on device: 1. Explore how deploying models on device reduces latency, enhances efficiency, and preserves privacy. 2. Go through key concepts of on-device deployment such as neural network graph capture, on-device compilation, and hardware acceleration. 3. Convert pretrained models from PyTorch and TensorFlow for on-device compa…