Introduction to On-Device AI
Krishna SridharDeepLearning.AI
This course provides comprehensive training on deploying AI models on edge devices, reducing latency, enhancing efficiency, and preserving privacy. You will learn key concepts such as neural network graph capture, on-device compilation, and hardware acceleration. The course includes practical exercises like converting pretrained models from PyTorch and TensorFlow, deploying real-time image segmentation models, and integrating models into Android apps. By the end of the course, you will be equipped to develop and deploy AI models on billions of devices, optimizing them for efficient on-device performance.

