Building Deep learning applications using PyTorch on AWS

Details
Are you looking to accelerate going from prototyping to production for your PyTorch-based models? AWS offers services to build and scale ML models using Amazon SageMaker for a fully managed experience, Amazon Elastic Kubernetes Service (EKS) for containerized workloads, and AWS ParallelCluster to run Amazon EC2 clusters to easily train and deploy your workloads.
3 Virtual Workshop Episodes
Distributed ML training using PyTorch and Amazon Elastic Kubernetes Service (June 15, 8:00 AM - 9:30 AM MDT)
Distributed ML training with PyTorch and Amazon SageMaker (June 22, 8:00 AM - 9:30 AM MDT)
Distributed ML training using PyTorch on High-Performance Computing (HPC) clusters (June 29, 8:00 AM - 9:30 AM PDT)

Building Deep learning applications using PyTorch on AWS