As machine learning models grow in size, so too does their carbon footprint. As AI scales, it's important that we quantify and mitigate these emissions. In our new short course "Carbon Aware Computing for GenAI Developers" you'll learn from Google Cloud Developer Advocate Nikita Namjoshi how to: - Query the ElectricityMaps API for real-time data on regional electricity grid carbon intensity - Route your model training jobs to data centers in regions primarily powered by low-carbon sources like w

Learn to deploy AI models to edge devices in our new short course "Introduction to On-Device AI," created with Qualcomm and taught by Senior Director of Engineering Krishna Sridhar. On-device (edge) AI is an important technology trend that's enabling new low latency, privacy-preserving applications. In this course, you'll deploy a real-time image segmentation model on-device, and through this learn key steps for on-device deployment: Neural Network graph capture, on-device compilation, hardware

An exciting new professional certificate: PyTorch for Deep Learning, taught by Laurence Moroney, is now available at DeepLearning.AI. This is the definitive program for learning PyTorch, which is one of the main frameworks researchers use to build breakthrough AI systems. If you want to understand how modern deep learning models work—or build your own custom architectures—PyTorch gives you direct control over the key aspects of model development. This three-course professional certificate takes