A tailored course, built for your situation
Mastering ISO 42001 for AI Governance Practitioners
Build authoritative command of the world's first AI management standard through structured practice and real-world implementation patterns.
$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 turn AI governance policy into working control frameworks?
The situation this course is for
Teams invest heavily in AI governance strategy, yet most lack a standardized way to operationalize it. Without a clear implementation blueprint, efforts stall at documentation, fail audit scrutiny, or drift across teams. Practitioners need a repeatable method to translate ISO 42001 into action, not just understand it, but deploy it.
Who this is for
Senior AI governance or compliance practitioners deploying enterprise AI systems with formal oversight requirements.
Who this is not for
This is not for executives seeking board-level summaries or developers implementing model monitoring tools. It’s for those responsible for designing, documenting, and maintaining an ISO 42001-compliant governance framework in production environments.
What you walk away with
- Interpret ISO 42001 clauses with precision and apply them to real AI system inventories
- Map controls to organizational roles and technical enforcement points
- Draft audit-ready statements of applicability with documented rationale
- Lead cross-functional control validation sessions with confidence
- Produce a live, updatable implementation playbook for reuse across teams
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and the AI Governance Landscape
Establish foundational understanding of ISO 42001’s role in AI system governance, its relationship to NIST AI RMF and OECD principles, and why structured implementation is now a differentiator for data-driven organizations.
12 chapters in this module
- What ISO 42001 solves
- Key drivers behind adoption
- Structure of the standard
- Clause vs control distinctions
- Governance vs risk boundaries
- AI system classification basics
- Organizational scope definition
- Mapping to existing frameworks
- Implementation maturity model
- Common misconceptions
- Stakeholder alignment points
- First steps in deployment
Module 2. Clause 4: Organizational Context and Leadership Commitment
Define the internal and external context influencing AI governance, and translate leadership intent into documented governance mandates that survive personnel changes.
12 chapters in this module
- Identifying internal actors
- External regulatory influences
- AI system ecosystem mapping
- Leadership statement drafting
- Accountability structure design
- Governance committee chartering
- Resource allocation planning
- Policy integration strategy
- Risk appetite articulation
- Scope boundary setting
- Change tolerance thresholds
- Baseline assessment planning
Module 3. Clause 5: Governance Roles and Responsibilities
Design role-based control ownership across data science, engineering, legal, and compliance teams using real-world RACI patterns for AI systems.
12 chapters in this module
- RACI for AI oversight
- Control owner selection
- Escalation paths
- Documentation stewardship
- Audit coordination roles
- Training responsibility
- Third-party governance
- Cross-team alignment
- Handoff protocols
- Review cycle ownership
- Decision rights mapping
- Communication cadence
Module 4. Clause 6: Risk Assessment and Treatment Planning
Operationalize AI risk assessments using standardized criteria, link findings to control objectives, and establish treatment workflows that scale across portfolios.
12 chapters in this module
- Risk identification framework
- Threat modeling for AI
- Likelihood scoring method
- Impact dimension selection
- Risk register structure
- Treatment options matrix
- Acceptance criteria
- Mitigation tracking
- Residual risk reporting
- Review frequency scheduling
- Automated alerting
- Documentation standards
Module 5. Clause 7: Awareness, Training, and Internal Communication
Develop training curricula and communication plans that ensure consistent AI governance understanding across technical and non-technical stakeholders.
12 chapters in this module
- Audience segmentation
- Core message development
- Training modality choices
- Role-specific content
- Knowledge validation
- Retention measurement
- Update protocols
- Leadership comms plan
- FAQ development
- Feedback loops
- Version control
- Audit trail preparation
Module 6. Clause 8: AI System Lifecycle Governance
Embed governance controls across design, development, deployment, and decommissioning phases of AI systems using standardized checkpoints.
12 chapters in this module
- Lifecycle stage definition
- Gate review criteria
- Design documentation
- Development oversight
- Testing requirements
- Deployment controls
- Monitoring integration
- Update governance
- Decommissioning steps
- Data retention rules
- Model versioning
- Audit readiness
Module 7. Clause 9: Performance Evaluation and Monitoring
Implement continuous monitoring mechanisms for AI systems, define KPIs, and structure performance review cycles aligned with ISO 42001 requirements.
12 chapters in this module
- KPI selection
- Control effectiveness
- Threshold setting
- Dashboard design
- Incident tracking
- Bias detection
- Model drift alerts
- Compliance checks
- Review meeting structure
- Reporting automation
- Stakeholder updates
- Remediation workflows
Module 8. Clause 10: Nonconformity, Corrective Action, and Continual Improvement
Establish processes to detect nonconformities, trigger corrective actions, and drive continual improvement in AI governance maturity.
12 chapters in this module
- Nonconformity logging
- Root cause analysis
- Corrective action planning
- Preventive measures
- Improvement tracking
- Audit finding response
- Trend analysis
- Process refinement
- Lessons learned
- Maturity progression
- Feedback integration
- Escalation protocols
Module 9. Documentation and Record Keeping Requirements
Build compliant, audit-ready documentation packages including registers, policies, statements of applicability, and control implementation records.
12 chapters in this module
- Document hierarchy
- Policy drafting
- Register maintenance
- SoA creation
- Control evidence
- Version control
- Storage standards
- Access controls
- Retention periods
- Audit preparation
- Indexing strategy
- Review cycles
Module 10. Internal Audit and Readiness for Certification
Prepare for internal audits and third-party certification with mock assessments, gap analyses, and audit response protocols.
12 chapters in this module
- Audit planning
- Checklist development
- Evidence collection
- Mock audit process
- Gap analysis
- Remediation tracking
- Auditor engagement
- Q&A preparation
- Certification roadmap
- Stage 1 vs Stage 2
- Surveillance audits
- Recertification
Module 11. Integrating ISO 42001 with Existing Frameworks
Align ISO 42001 with NIST AI RMF, SOC 2, GDPR, and internal governance models to avoid duplication and strengthen control consistency.
12 chapters in this module
- Control mapping logic
- NIST AI RMF alignment
- SOC 2 overlap
- GDPR coordination
- Risk framework integration
- Policy harmonization
- Audit consolidation
- Tooling synergy
- Cross-standard reporting
- Governance efficiency
- Change impact analysis
- Unified oversight
Module 12. Building and Maintaining Your Implementation Playbook
Assemble a living, reusable implementation playbook with templates, decisions logs, and field-tested workflows tailored to your environment.
12 chapters in this module
- Playbook structure
- Template integration
- Decision logging
- Version control
- Stakeholder input
- Update process
- Onboarding use
- Audit reference
- Knowledge transfer
- Cross-team sharing
- Continuous refinement
- Retirement protocol
How this maps to your situation
- Leading ISO 42001 adoption in a data-centric AI environment
- Aligning cross-functional teams around a unified governance approach
- Preparing for external audit or certification
- Scaling governance across multiple AI system deployments
Before vs. after
Before
AI governance efforts are fragmented, relying on ad hoc policies and inconsistent control application across teams.
After
You lead with a unified, ISO 42001-aligned framework, documented, repeatable, and audit-ready across the AI lifecycle.
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 18 hours total, designed for completion over 3-4 weeks with applied work between modules.
If nothing changes
Without a standardized approach, AI governance remains reactive, audit outcomes are uncertain, and scaling efforts require redundant work across teams.
How this compares to the alternatives
Unlike generic compliance courses, this program provides clause-specific implementation guidance for ISO 42001, field-tested templates, and a tailored playbook, making it the most direct path to operational mastery.
Frequently asked
Who is this course for?
AI governance leads, compliance officers, and risk practitioners implementing ISO 42001 in production AI environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this relevant if we’re using NIST AI RMF?
Yes. The course includes direct mapping to NIST AI RMF and shows how ISO 42001 complements and strengthens existing frameworks.
$199 one-time. Approximately 18 hours total, designed for completion over 3-4 weeks with applied work between modules..
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