Learning paths
Each path provides a structured, hands-on approach to mastering key ValidMind’s features that you can apply in your work.
By user role
Administrator Fundamentals
Learn how to use ValidMind as an administrator to onboard your organization, customize the ValidMind Platform for your institution’s requirements, and use the platform as your centralized hub for risk management oversight.
Module 1
Onboarding Your Organization
- Set up the foundations of your organization
- Set up groups, roles, & permissions
- Invite users and assign access to features
Module 2
Customizing Your Model Inventory
- Configure model inventory & artifact (finding) fields
- Customize document templates
- Configure reusable blocks
Module 3
Using ValidMind for Model Risk Management
- Set up and manage custom workflows
- Manage regulations and policies
- Set up attestations
Module 4
Organizational Oversight & Reporting
- Audit model activity
- Audit workflows
- View and customize analytics
Developer Fundamentals
Learn how to use ValidMind as a developer to generate model documentation, automate testing, and track your model’s progress through the model lifecycle.
Module 1
Using ValidMind for Model Development
- Register a model in the ValidMind Platform
- Install the ValidMind Library in your environment
- Connect to your registered model
- Preview your model’s documentation template
Module 2
Learning to Run Tests
- Identify relevant tests to run from ValidMind’s test vault
- Initialize datasets & models for use with the ValidMind Library
- Run and log out-of-the-box tests for new and existing models
- Insert test results into your model’s documentation
Module 3
Implementing Custom Tests
- Implement, run, and log custom inline and reusable tests
- Refresh your template to include inserted test-driven blocks
- Configure your template to include custom tests
Module 4
Finalizing Model Documentation
- Refine your model documentation
- Submit your model documentation for approval
- Track changes and other updates to your model
Validator Fundamentals
Learn how to use ValidMind as a validator to generate validation reports, automate testing, and collaborate with your model development team.
Module 1
Using ValidMind for Model Validation
- Install the ValidMind Library in your environment
- Connect to a champion model as a validator
- Preview the model’s validation report template
- Review submitted model documentation
Module 2
Running Data Quality Tests
- Identify relevant tests to run from ValidMind’s test vault
- Initialize datasets for use with the ValidMind Library
- Run and log out-of-the-box tests on your datasets
- Insert test results into your model’s validation report
Module 3
Developing Challenger Models
- Initialize models for use with the ValidMind Library
- Run and log out-of-the box and custom tests for your models
- Use the results of tests to log model artifacts (findings)
Module 4
Finalizing Validation Reports
- Make qualitative edits to your validation report
- Submit your validation report for approval
- Track artifact resolution and other updates to your model
Monitoring Fundamentals
coming soon
Learn how to use ValidMind as a developer managing the ongoing monitoring of your models with ongoing monitoring plans, scheduled monitoring runs, and tracked metrics over time.
Module 1
Using ValidMind for Ongoing Monitoring
- How monitoring integrates with model documentation
- Enable monitoring for a model
- Preview the monitoring template
Module 2
Setting Up Monitoring
- Load the reference and monitoring datasets
- Load the production model
- Initialize datasets and a model object
- Assign predictions to the datasets
Module 3
Scheduling & Execution
- Run the ongoing monitoring tests
- Conduct target and feature drift testing
- Model performance monitoring tests
- How to schedule quarterly or monthly monitoring runs
By use case
What is ValidMind?
product tour
Take a guided tour of ValidMind and discover how the platform helps you implement governance and oversight through automated documentation, comprehensive testing, and streamlined workflows.
Section 1
The Inventory
- Understand how the inventory serves as your system of record for governance
- Track AI systems, models, use cases, and tools
- Learn to register items and start the governance lifecycle
Section 2
Workflows & Approvals
- Define roles and responsibilities for stakeholders
- Implement governance for regulations and policies
- Track all activities with audit trails
Section 3
Reporting & Analytics
- Use customizable dashboards for oversight
- Track validation issues, approvals, and sign-offs
- Export documents to share with stakeholders
Section 4
Documentation & Testing & Validation
- Automate documentation with predefined templates
- Run 200+ out-of-the-box tests
- Prepare validation reports and assess compliance
Section 5
Ongoing Monitoring
- Enable monitoring for items in the inventory
- Track performance and detect data drift
- Define thresholds and receive alerts
Section 6
Risk Insights & Regulatory Alignment
- Use AI-powered document checker for compliance
- Align with regulatory frameworks like SR 11-7, SS1/23, E-23, and EU AI Act
- Generate risk assessments with recommendations
AI Governance
Learn how to use ValidMind for AI governance to establish organizational oversight for AI systems, manage use cases through their lifecycle, and ensure compliance with regulations like the EU AI Act.
Module 1
Understanding AI Governance
- Learn AI governance concepts & terminology
- Understand AI governance vs MRM
- Explore ValidMind platform orientation
Module 2
Managing AI Use Cases
- Work with use case inventories
- Conduct impact assessments
- Manage risk classification & lifecycle stages
Module 3
Configuring AI Workflows
- Set up intake & approval workflows
- Configure human oversight controls
- Manage escalation paths
Module 4
Compliance & Oversight
- Map regulatory requirements
- Configure dashboards & reporting
- Generate audit evidence