watsonx.governance: Model Risk Governance Administrator

In this course, the learner is guided through a realistic scenario of administering and customizing the watsonx governance console for an organization wishing to govern the lifecycles of AI initiatives. The course includes user management, profile assignment and customization, modeling real-world organization structures in the governance console, identification of model risks and associated controls, customized risk assessment using questionnaires, and building specific workflows to manage AI use cases.

After completing this course, the learner will be able to:

• Define user access for the governance console
• Customize user views and profile information to fine-tune access
• Create governance console entities to mirror real-world organizational structures
• Adapt existing organizational information for importing into the governance console
• Troubleshoot import issues
• Augment out-of-the-box libraries with custom risks and controls
• Create questionnaires to assist with risk identification
• Define workflows for AI use case governance

watsonx.governance administrators or users that want to learn about administering and customizing the watsonx governance console 

• Introduction
• Module 1: Environment provisioning and configuration
• Module 2: User and organizational management
• Module 3: Building risk identification questionnaires
• Module 4: Creating custom workflows
• Module 5: Configuring user interfaces
• Epilogue