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
Register Now!
Upcoming virtual workshops
The Kaggle Blue Book for Bulldozers Machine Learning Example
May 25, 2022 09:00 AM Pacific Time (US and Canada)
Distributed PyTorch with Kubeflow and Kale
May 26, 2022, 04:00 PM in Indian Standard Time
Getting Started with the Udacity Dog Breed Classification Computer Vision Example
Jun 8, 2022, 06:00 AM Pacific Time (US and Canada)
How Kubernetes and Kubeflow come together
Jun 9, 2022, 09:00 AM Pacific Time (US and Canada)
US time zone friendly
Jun 16, 2022, 9:00 AM in Pacific Time (US and Canada)
Getting Started with the Kaggle Titanic Disaster Machine Learning Example
Jun 22, 2022, 03:30 AM Pacific Time (US and Canada) / 4:00 PM (Indian Time)
The Kaggle Covid-19 OpenVaccine Machine Learning Example
Jul 13, 2022, 6:00 AM Pacific Time (US and Canada)
Asia-Pacific time zone friendly
Jul 14, 2022, 4:30 PM in Indian Standard Time
Europe time zone friendly
Jul 28, 2022, 6:00 AM in Pacific Time (US and Canada)