IBM Watson OpenScale on IBM Cloud Pak for Data (V2.5.x) eLearning

Introduction to IBM Watson OpenScale • Describe the problem that Watson OpenScale solves • Describe models, monitors, workflow • Describe AIF and AIE 360 toolkits • Describe workflow IBM Watson OpenScale architecture • Describe OpenScale architecture on IBM Cloud and on IBM Cloud Pak for Data • Describe how Watson OpenScale works with other cloud services Get started with IBM Watson OpenScale on IBM Cloud Pak for Data • Install the Watson OpenScale service • Work with Watson OpenScale on Cloud Pak for Data Overview of Watson OpenScale monitors • Identify the different Watson OpenScale monitors • Describe how the monitors are used Explore a use case • Prepare the model for monitoring 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 Configure the quality monitor • Quality alert threshold • Sample size • Insights and explainability Detect drift and configure the drift monitor • Alert threshold • Sample size • Insights and explainability Configure application monitors • Configure application monitors • Configure KPI metrics in Watson OpenScale • Configure event details • Access and visualize custom metrics

Analysts, Developers, Data Scientists and others who need to monitor machine learning jobs

• Basic knowledge of cloud platforms, for example IBM Cloud  • Basic understanding of machine learning models, and how they are used • IBM Cloud Pak for Data (V2.5.x): Foundations - 6X236G (recommended)

• Introduction to IBM Watson OpenScale • IBM Watson OpenScale architecture • Get started with IBM Watson OpenScale on IBM Cloud Pak for Data • Overview of Watson OpenScale monitors • Explore a use case • Build and configure the fairness monitor • Configure the quality monitor • Detect drift and configure the drift monitor • Configure application monitors