Learn to deploy your machine learning models in this foundations course on Ray Serve.
Learn when to use Ray Serve and how its application/deployment architecture supports scalable ML serving. Build and deploy a PyTorch MNIST image-classification service by converting a local model into an online Ray Serve deployment and running inference via an endpoint.
