Advanced Kubeflow Workshop

This workshop is for individuals already familiar with the basics of machine learning and Kubeflow looking to understand how to deploy models end-to-end while solving the following challenges in detail using practical examples:

• Introduction to Rok Data Management and Storage for Kubernetes
• How to Turn Notebooks Into Pipelines with Minimal Code Using Kale
• How to Accomplish Hyper Parameter Tuning with Katib
• How to Recreate Whole Environments with Snapshots
• Monitoring
• Understanding A/B Multi Arm Bandit Testing
• Concurrency within the Kubeflow Environment
• Resiliency
• How Model Pipelines Tie Into Ci/CD Pipelines
• External Data Sources