1. Introduction to IBM Watson OpenScale
- Describe the problem that Watson OpenScale solves
- Describe models, monitors, workflow
- Describe AIF and AIE 360 toolkits
- Describe workflow
2. Watson OpenScale architecture
- Describe Watson OpenScale architecture on IBM Cloud and on IBM Cloud Pak for Data
- Describe how Watson OpenScale works with other cloud services
3. Get started with Watson OpenScale
- Provision from catalog
- Start working with Watson OpenScale
4. Overview of Watson OpenScale monitors
- Identify the different Watson OpenScale monitors
- Define how the different monitors are used
5. Explore a use case
- Prepare the model for monitoring
6. Build and configure the fairness monitor
- Features to monitor
- Values that represent a favorable outcome of the model
- Reference and monitored groups
- Fairness thresholds
- Sample size
- Insights and explainability
7. Configure the quality monitor
- Quality alert threshold
- Sample size
- Insights and explainability
8. Detect drift and configure the drift monitor
- Alert threshold
- Sample size
- Insights and explainability
9. Configure application monitors
- Configure application monitors
- Configure KPI metrics in Watson OpenScale
- Configure event details
- Access and visualize custom metrics