Date: July 28, 2022 6:00 AM Pacific Time (US and Canada)
Kubeflow familiarity: Intermediate to Advanced
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
