MLOps using OCI Data Science and MlFlow on Kubernetes.

Our coaches are ready to showcase MLOps capabilities in Oracle Cloud.

The session largely covers two parts. First, we will demonstrate how to set up a MlFlow tracking serving using a pre-configured container image.

Second, we will showcase how OCI Data Science can leverage the integration with MlFlow to create a full MLOps lifecycle and pipelines.

The MLOps pipeline will use OCI Data Science Jobs and Pipelines to automatically train, manage, and deploy ML models, using MlFlow for the lifecycle management.

Duration: 1h