Live, Instructor-Led Programme
AI Governance
Govern AI responsibly. Manage riskwith confidence.
7 Weeks
6.5 hrs/week
across two class days
Instructor-Led, Virtual
C$999
AI Governance Programme
Build Confidence for RealAI Governance Work
This seven-week, live online programme gives you the frameworks, policies and practical tools to govern AI responsibly across its lifecycle. You'll learn from experienced practitioners, collaborate with peers, and build an implementation-ready portfolio you can use at work.
Practical & Applied
Hands-on exercises, templates and real-world scenarios.
Proven Frameworks
NIST AI RMF, ISO/IEC 42001 and leading practices.
Expert Instructors
Learn from practitioners with deep AI governance experience.
Peer Collaboration
Discuss challenges and share insights with peers.
Implementation-Ready
Leave with a portfolio of artefacts you can use immediately.
Certificate of Completion
Earn a ReveCyber Certificate upon successful completion.
AI Governance Programme
C$999
Instructor-Led, Virtual
7 Weeks
6.5 hrs/week
across two class days
Small class size
Live sessions, not recorded
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Practical Work You Will Complete
By the end of the programme, you will build a portfolio of governance artefacts you can apply in your organisation.
AI GovernanceCharter
AI Use-CaseInventory
AI Acceptable-Use Policy
AI RiskAssessment
NIST AI RMF &ISO/IEC 42001Mapping
AI Vendor RiskAssessment
AI LifecycleGovernance Plan
CapstonePortfolio
A Structured Seven-Week Learning Journey
- What AI governance is and why boards now demand it
- Core principles: fairness, transparency, accountability, safety
- The business case: value, trust and regulatory pressure
- Key roles and who owns AI risk in an organisation
- Discover and catalogue AI use cases across the business
- Classify use cases by risk, impact and data sensitivity
- Draft a governance charter with scope, roles and decision rights
- Set up an AI governance committee and escalation path
- Write a practical, plain-language acceptable-use policy
- Set guardrails for generative AI, data input and outputs
- Define approval workflows for new AI tools
- Plan rollout, training and policy exceptions
- Identify AI-specific risks: bias, drift, hallucination, misuse
- Run a structured AI risk assessment end to end
- Select and document mitigating controls
- Track residual risk and reporting to leadership
- Walk through the NIST AI RMF functions in practice
- Understand ISO/IEC 42001 AIMS requirements
- Map your controls to both frameworks
- Prepare evidence for audit and assurance
- Build an AI vendor due-diligence questionnaire
- Assess model providers, data flows and sub-processors
- Negotiate contractual AI clauses and disclosures
- Monitor vendors continuously after onboarding
- Govern AI from design through deployment and retirement
- Define monitoring, logging and incident response for AI
- Assemble your capstone artefact portfolio
- Present your governance programme to a review panel
Designed for professionals interested in leading responsible AI in their organisations.
Information managers, risk, compliance, privacy, audit, legal, security and technology leaders.