Govern AI at the Enterprise Level
A rigorous executive credential program for CIOs, CTOs, compliance officers, and risk leaders who need to build, operate, and defend enterprise AI governance systems — from policy architecture to board-ready reporting.
"My commitment to every participant is straightforward: you will leave this program with governance structures you can deploy, evidence you can defend, and the credibility to lead AI accountability at the highest levels of your organization."— Pauline Brown Smith, EdD
What you'll learn
What you'll be able to do
- Build and deploy an enterprise AI policy framework covering acceptable use, model lifecycle, procurement, privacy, and human oversight aligned to legal and organizational requirements.
- Design and operationalize AI governance structures including oversight committees, model inventories, approval workflows, audit programs, and incident response processes.
- Develop a continuous AI monitoring strategy that tracks model performance, drift, data quality, security events, and compliance indicators to drive timely corrective action.
- Conduct AI governance assurance reviews that assess policy effectiveness, control maturity, documentation quality, and audit readiness for executive and regulatory audiences.
- Construct a five-year AI governance maturity roadmap with measurable KPIs, a board-ready risk register, and an executive performance dashboard.
- Distinguish established AI governance practices from emerging capabilities to lead responsible, future-ready enterprise AI transformation with credible stakeholder engagement.
How it works
A school that adapts to you
This isn't a set of static videos. Every lesson is generated live and tuned to where you actually are.
We learn your level
A quick placement check tailors your starting point so you're never bored or lost.
Lessons adapt as you go
Each lesson is written for your pace and your goal, adjusting as your skills grow.
Your AI coach keeps you moving
Checkpoints, feedback, and gentle nudges turn progress into a real result.
The curriculum
What's inside your school
6 modules · 28 lessons
AI Governance Foundations and Readiness
Establishes the conceptual, ethical, and organizational foundation for enterprise AI governance before deployment or policy design begins.
- 1.1Enterprise AI Governance LandscapeIncluded
- 1.2Responsible AI Principles and Ethics CharterIncluded
- 1.3AI Governance Readiness AssessmentIncluded
- 1.4Regulatory and Legal Framework OverviewIncluded
- 1.5Governance Maturity Models and BenchmarkingIncluded
AI Policy Development
Equips professionals to design, structure, and deploy a comprehensive enterprise AI policy framework aligned to legal, operational, and ethical requirements.
- 2.1Enterprise AI Policy ArchitectureIncluded
- 2.2Data Governance, Privacy, and Cybersecurity PoliciesIncluded
- 2.3Accountability and Human Oversight FrameworksIncluded
- 2.4Policy Implementation and Workforce EnablementIncluded
AI Risk Management and Assurance
Covers end-to-end AI risk identification, mitigation, audit readiness, and assurance review practices across the enterprise AI lifecycle.
- 3.1AI Risk Identification and ClassificationIncluded
- 3.2Risk Assessment and Mitigation StrategiesIncluded
- 3.3Enterprise Risk Register and Board ReportingIncluded
- 3.4AI Assurance Reviews and Audit ReadinessIncluded
- 3.5Trustworthy AI Strategy and Compliance FrameworkIncluded
Governance Operations and Regulatory Implementation
Operationalizes AI governance by establishing oversight structures, approval workflows, documentation standards, and regulatory implementation mechanisms.
- 4.1AI Oversight Committees and Governance StructuresIncluded
- 4.2Model Inventories, Approvals, and DocumentationIncluded
- 4.3Regulatory Obligation Mapping and ImplementationIncluded
- 4.4Incident Response and Corrective Action ProcessesIncluded
- 4.5Governance Operations RoadmapIncluded
Continuous AI Monitoring
Develops a systematic continuous monitoring strategy to track model performance, drift, data quality, security events, and compliance indicators in production.
- 5.1Continuous Monitoring Strategy and ArchitectureIncluded
- 5.2Model Performance, Drift, and Data Quality MonitoringIncluded
- 5.3Security Event and Operational Resilience MonitoringIncluded
- 5.4Compliance Indicators, User Feedback, and Corrective ActionIncluded
AI Governance Assurance, Executive Reporting, and Maturity Roadmap
Integrates assurance, executive performance management, and long-range maturity planning into a board-ready AI governance leadership capability.
- 6.1AI Governance Assurance ScorecardIncluded
- 6.2Executive KPI Dashboard and Performance MetricsIncluded
- 6.3Board Presentation and Stakeholder CommunicationIncluded
- 6.4Five-Year AI Governance Maturity RoadmapIncluded
- 6.5Applied Executive Capstone: Enterprise AI Governance Operations ProgramIncluded
Who it's for
Is this you?
Chief Information Officers
Responsible for enterprise technology strategy, CIOs need credentialed governance expertise to align AI deployment with legal obligations, board expectations, and organizational risk appetite.
Compliance & Risk Officers
Compliance officers and risk managers gain the structured frameworks — risk registers, assurance reviews, regulatory obligation mapping — needed to make AI risk as auditable as any other enterprise risk.
AI & Data Leaders
AI leads and chief data officers can translate technical model risk into governance language, build oversight structures, and demonstrate responsible AI practices to non-technical stakeholders.
Legal & Policy Professionals
In-house counsel and policy advisors develop the operational fluency to translate regulatory obligations into enforceable enterprise AI policy and audit-ready documentation.
CTOs & Technology Executives
Technology executives overseeing AI system design and procurement gain the governance architecture and board reporting skills to lead responsible AI transformation with organizational accountability.
Internal Audit Leaders
Heads of internal audit and assurance functions build the specialized capability to assess AI governance control maturity, evaluate policy effectiveness, and present findings to audit committees.
Questions
Frequently asked
Your teacher
A note from your teacher
Pauline Brown Smith, EdD
If you are reading this, you are almost certainly already responsible for AI decisions in your organization — and you are aware, with increasing urgency, that the governance structures required to support those decisions are either underdeveloped, undocumented, or both.
That is not a criticism. It is the reality facing most enterprises today. The pace of AI adoption has outrun the institutional capacity to govern it, and the professionals expected to lead governance have had to improvise with frameworks that were never designed for enterprise-scale AI risk. Compliance programs borrowed from data privacy. Risk registers that do not reflect model-specific failure modes. Policy documents that exist on paper but have never been operationalized. I built this program because that gap has real consequences — for organizations, for the professionals accountable to them, and for the people affected by AI-driven decisions.
What you will find here is not a survey course or a conceptual overview. It is a structured, rigorous credential program that moves from foundations to full operations: from assessing your governance readiness and building an AI ethics charter, through designing policy architecture and operationalizing oversight structures, to running continuous monitoring programs and presenting assurance evidence to your board. Every module produces something you can use. Every framework is calibrated to the regulatory and organizational realities senior professionals actually face.
The executives who complete this program are not simply more informed — they are equipped to lead. They can walk into a board meeting with a defensible risk register. They can answer a regulatory inquiry with documented controls and audit trails. They can tell the difference between an AI system that is governed and one that merely appears to be. That credibility — earned through rigorous preparation — is what responsible AI leadership requires.
If you are ready to build governance that is operational, auditable, and board-ready, this is the program for you. I look forward to working with you.
— Pauline Brown Smith, EdD
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- 6 modules, 28 lessons
- AI-adaptive lessons tuned to your level
- Quizzes & checkpoints to lock in progress
- Your own AI learning coach
- Learn on any device, at your pace
- Full access for as long as you're subscribed