Mastering AI Governance with ValidMind: A Complete Training Overview
AI governance is rapidly becoming a cornerstone discipline for organizations adopting AI at scale. With evolving regulations like the EU AI Act and model risk rules such as SR 11-7, teams need structured frameworks and tooling to manage AI systems responsibly, consistently, and in a way that’s audit-ready. ValidMind’s AI Governance training course is designed to give professionals the skills and platform knowledge to do just that.
Below, we walk through what the course covers and why each component matters for building a trusted AI governance practice.
What Is ValidMind’s AI Governance Training?
The AI Governance course offered by ValidMind is a 120-minute (2-hour) structured training that teaches practitioners how to use the ValidMind platform to:
- Establish organizational oversight for AI systems
- Manage AI use cases through their lifecycle
- Ensure compliance with regulatory frameworks
- Build governance workflows and evidence for audits
The course is organized into four key modules, each targeting a specific area of the governance lifecycle.
1. Understanding AI Governance (Module 1 — 20 min)
This opening segment lays the foundation by introducing core concepts and terminology around AI governance.
Key Learning Goals:
- Learn AI governance concepts & terminology
- Understand AI governance vs model risk management (MRM)
- Explore ValidMind platform orientation
AI governance is the organizational framework for directing and overseeing how AI is designed, deployed, and used.
It sets:
- Policy and standards
- Accountability and decision rights
- Ethics and compliance requirements
- Lifecycle controls
- Ongoing oversight
2. Managing AI Use Cases (Module 2 — 30 min)
Once you understand the basics, the next step is to capture and classify your AI portfolio.
What You’ll Learn:
- How to register AI use cases in the ValidMind inventory
- Why maintaining a centralized use case inventory matters for governance
- How to conduct impact assessments which evaluate potential harms and risks
- Assigning risk classifications to systems based on impact and regulatory requirements
- Tracking lifecycle stages from intake to monitoring
This module emphasizes the importance of understanding where and how AI is used within your organization, who is responsible for it, and what level of governance oversight it requires.
3. Configuring AI Workflows (Module 3 — 40 min)
With your inventory in place, you’ll need structured processes for governing change and approvals.
Core Training Topics:
- Setting up intake workflows to control how new AI systems enter governance
- Designing approval workflows, including risk-based gates and reviewer roles
- Implementing human oversight controls — especially for high-risk AI
- Establishing escalation paths for overdue reviews or compliance incidents
This module builds governance rigor into your workflows, ensuring consistent documentation, accountability, and audit trails.
4. Compliance & Oversight (Module 4 — 30 min)
The final section focuses on tying your governance work to compliance reporting and ongoing oversight.
What You’ll Explore:
- Regulatory mapping — aligning governance activities to frameworks like the EU AI Act, SR 11-7, SS1/23, and E-23
- Configuring dashboards and reporting for executives, risk teams, or regulators
- Generating audit evidence, such as registration logs, approval histories, documentation artifacts, and change histories
- Best practices for ongoing compliance, including performance tracking and periodic reviews
This module helps you move from operational governance to audit readiness and strategic oversight of AI risk.
Why This Training Matters
Organizations face increasing regulatory pressure and complexity as AI systems proliferate. To manage this effectively, teams need:
- Clear governance frameworks
- Centralized inventories and workflows
- Repeatable processes for risk assessment and mitigation
- Audit-grade evidence for regulators or internal stakeholders
ValidMind’s AI Governance training walks practitioners through both the conceptual foundations and how to execute governance in practice using the platform.
Whether you’re responsible for compliance, risk, or operational leadership in AI, this training equips you to govern AI systems with confidence and consistency.
