A tailored course, built for your situation
Deeper command of the ISO 42001 framework for AI governance
Master the first international standard for AI management systems with precision and confidence
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Struggling to keep pace with evolving AI governance expectations
The situation this course is for
Many practitioners are overwhelmed by fragmented guidance and unclear expectations in AI governance. Teams lack a consistent framework, leading to rework, inconsistent audits, and misaligned stakeholder reviews.
Who this is for
Senior practitioner in governance, risk, or compliance leading AI or digital transformation initiatives
Who this is not for
Entry-level staff, non-practitioners, or those not involved in AI governance implementation
What you walk away with
- Complete internalization of the ISO 42001 structure and control logic
- Ability to lead end-to-end implementation from gap assessment to audit readiness
- Confident articulation of control objectives to technical and executive stakeholders
- Repeatable templates for SoA, policy documentation, and role mapping
- Faster alignment in cross-functional AI governance rollouts
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and the AI landscape
Understand the birth of ISO 42001, its alignment with global AI trends, and its role in modern governance frameworks.
12 chapters in this module
- What is ISO 42001
- Why AI governance matters now
- How ISO 42001 differs from other standards
- Scope and applicability
- Key stakeholders in AI governance
- Relationship to NIST AI RMF
- Link to GDPR and AI Act
- Organizational readiness check
- Common misconceptions
- First steps in adoption
- Leadership engagement model
- Course roadmap
Module 2. Clause 4: Context of the organization
Map internal and external issues affecting AI governance and define the boundaries of your AI system's management.
12 chapters in this module
- Understanding organizational context
- Identifying external influences
- Internal drivers for AI governance
- Stakeholder analysis
- AI system boundaries
- Defining scope documentation
- Exclusions with justification
- Risk-based thinking intro
- Context workshop setup
- Clause 4 audit expectations
- Common gaps in context definition
- Template: Context register
Module 3. Clause 5: Leadership
Secure leadership commitment and establish accountability for AI system governance across roles.
12 chapters in this module
- Leadership responsibility under ISO 42001
- AI policy statement drafting
- Top management engagement
- Roles and responsibilities
- Accountability frameworks
- Resource allocation
- Leadership communication
- Policy sign-off process
- Oversight mechanisms
- Clause 5 audit trail
- Avoiding leadership gaps
- Template: AI governance charter
Module 4. Clause 6: Planning
Define AI-specific risks and opportunities and set measurable objectives for the management system.
12 chapters in this module
- Risk and opportunity assessment
- AI risk categories
- Opportunity mapping
- Objective setting
- Risk tolerance levels
- Integration with ERM
- Planning documentation
- Resource alignment
- Timeline planning
- Stakeholder input capture
- Clause 6 audit focus
- Template: Risk register
Module 5. Clause 7: Support
Build the infrastructure to sustain AI governance, including competence, awareness, and documentation.
12 chapters in this module
- Competence requirements
- Training needs analysis
- Awareness programs
- Internal communication
- Document control
- Record keeping
- Digital tools for support
- Version control
- Access management
- Clause 7 compliance checks
- People readiness
- Template: Document control matrix
Module 6. Clause 8: Operation
Implement controls to manage AI system lifecycle, from design to deployment and monitoring.
12 chapters in this module
- Operation planning
- AI system lifecycle
- Design controls
- Development standards
- Testing requirements
- Deployment safeguards
- Monitoring setup
- Incident response
- Change management
- Clause 8 audit focus
- Operational consistency
- Template: AI system log
Module 7. Clause 9: Performance evaluation
Establish metrics, conduct internal audits, and analyze performance of the AI management system.
12 chapters in this module
- Performance indicators
- Monitoring methods
- Internal audit planning
- Audit team structure
- Audit checklist design
- Finding classification
- Management review inputs
- Trend analysis
- Clause 9 documentation
- Audit readiness
- Evidence collection
- Template: Audit schedule
Module 8. Clause 10: Improvement
Drive continuous improvement through nonconformity management and corrective actions.
12 chapters in this module
- Nonconformity identification
- Root cause analysis
- Corrective action process
- Preventive controls
- Improvement tracking
- Feedback loops
- Lessons learned
- Change implementation
- Clause 10 audit trail
- Sustaining improvements
- Avoiding repeat issues
- Template: Corrective action log
Module 9. Control mapping and implementation
Translate ISO 42001 clauses into actionable controls and implementation plans.
12 chapters in this module
- Control mapping method
- Clause-to-control alignment
- Control ownership
- Implementation sequencing
- Maturity assessment
- Gap closure strategies
- Control testing
- Evidence collection
- Control documentation
- Integration with SOC 2
- Cross-standard alignment
- Template: Control mapping matrix
Module 10. Audit preparation and readiness
Prepare for certification audits with documentation, walkthroughs, and evidence readiness.
12 chapters in this module
- Audit timeline
- Document compilation
- Internal dry run
- Evidence packaging
- Auditor expectations
- Response protocols
- Finding management
- Nonconformity handling
- Certification process
- Readiness checklist
- Common audit findings
- Template: SoA draft
Module 11. Cross-functional alignment
Align legal, technical, and business teams around ISO 42001 implementation and governance.
12 chapters in this module
- Stakeholder mapping
- Legal team coordination
- Engineering alignment
- Product management input
- HR involvement
- Finance oversight
- Vendor management
- Third-party controls
- Communication plan
- Conflict resolution
- Steering committee
- Template: RACI matrix
Module 12. Sustaining and scaling the system
Maintain certification and scale the AI management system across business units.
12 chapters in this module
- Maintenance planning
- Re-certification cycle
- System expansion
- New project onboarding
- Knowledge transfer
- Succession planning
- Automation opportunities
- Tooling strategy
- Continuous learning
- Scaling playbook
- Governance evolution
- Template: Roadmap for scale
How this maps to your situation
- Leading first-time ISO 42001 implementation
- Preparing for certification audit
- Aligning cross-functional teams
- Scaling AI governance across business units
Before vs. after
Before
Reactive approach to AI governance with fragmented documentation and inconsistent stakeholder alignment
After
Proactive, structured command of ISO 42001 with repeatable processes and leadership confidence
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 45 hours of self-paced learning, designed for busy practitioners.
If nothing changes
Without mastery of ISO 42001, practitioners risk delayed certifications, repeated audit findings, and diminished influence in AI governance decisions.
How this compares to the alternatives
Unlike generic compliance courses, this program delivers specific, actionable mastery of ISO 42001 tailored to real-world implementation challenges.
Frequently asked
Who is this course for?
This course is for practitioners leading or contributing to AI governance initiatives who want deep, actionable command of the ISO 42001 standard.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Do I need prior experience with ISO standards?
No. The course starts with foundational knowledge and builds to advanced implementation.
$199 one-time. Approximately 45 hours of self-paced learning, designed for busy practitioners..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours