This session will focus on deploying and managing machine learning workflows on AKS using Kubeflow. Attendees will learn how to build, train, and serve machine learning models at scale in a Kubernetes environment. We will cover Kubeflow Pipelines, model versioning, and distributed training, enabling efficient machine learning operations on the cloud.

Perfect for data scientists and machine learning engineers, this session demonstrates how to run end-to-end ML workflows on AKS with Kubeflow.