A tailored course, built for your situation
Greater Decision Scope on AI Governance with ISO 42001
Earn broader influence over AI governance frameworks without changing roles
$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.
Who this is for
Senior technical analyst in AI or data platform governance, operating in a consulting or enterprise setting with influence over framework adoption but no executive authority
Who this is not for
Individuals seeking introductory AI literacy or certification prep; those focused solely on model development or infrastructure deployment without governance scope
What you walk away with
- Lead ISO 42001 readiness assessments end to end within current role
- Own the design and review cycle for AI risk registers across projects
- Set evaluation criteria for third-party AI vendors under governance scope
- Direct internal audit sequencing and evidence collection for AI management systems
- Shape organizational AI policy inputs with traceable rationale to ISO 42001 clauses
The 12 modules (with all 144 chapters)
Module 1. ISO 42001 Fundamentals and Scope Definition
Establish a working foundation in ISO 42001 structure, terminology, and applicability criteria. Learn how to define governance boundaries within complex AI environments without overreach.
12 chapters in this module
- Introduction to ISO 42001
- Purpose of AI management systems
- Structure of the standard
- Clause 1 overview
- Clause 2 terminology deep dive
- Understanding scope applicability
- Organizational context mapping
- Defining governance boundaries
- AI system categorization
- Ownership models for AI governance
- Stakeholder identification
- Initial gap assessment methodology
Module 2. Leadership and Policy Integration
Integrate ISO 42001 requirements into existing leadership structures and policy workflows. Learn to position governance as enabler, not blocker.
12 chapters in this module
- Leadership accountability mapping
- Linking AI governance to strategy
- Policy hierarchy alignment
- Executive communication cadence
- Risk appetite articulation
- Policy drafting conventions
- Stakeholder sign-off workflows
- Version control for policies
- Integration with compliance programs
- Documented policy rationale
- Review cycles and updates
- Policy exception handling
Module 3. AI Risk Assessment Frameworks
Design repeatable AI risk registers aligned to ISO 42001. Learn to classify risk levels, assign ownership, and establish review triggers.
12 chapters in this module
- Risk matrix configuration
- AI-specific risk categories
- Data quality risks
- Bias and fairness assessment
- Transparency risks
- Security and privacy linkage
- Operational disruption risk
- Reputational exposure levels
- Risk ownership assignment
- Risk scoring methodology
- Threshold setting
- Ongoing monitoring triggers
Module 4. Control Design and Implementation
Build controls that map directly to ISO 42001 clauses. Focus on practical, auditable implementation within existing engineering workflows.
12 chapters in this module
- Control objective definition
- Mapping controls to clauses
- Designing for auditability
- Integration with SDLC
- Model validation requirements
- Human oversight mechanisms
- Performance monitoring
- Incident response linkage
- Change management integration
- Version control for models
- Control testing frequency
- Documentation standards
Module 5. Vendor and Third-Party Oversight
Establish governance criteria for third-party AI vendors. Learn to audit external providers against ISO 42001 without requiring full certification.
12 chapters in this module
- Vendor risk classification
- Pre-contract evaluation
- AI model transparency requirements
- Data handling assurances
- Audit rights negotiation
- Certification acceptance levels
- Ongoing monitoring approach
- Performance benchmarking
- Incident reporting expectations
- Exit strategy planning
- Contract clause integration
- Vendor self-assessment review
Module 6. Internal Audit and Evidence Collection
Lead internal audits for ISO 42001 compliance. Develop checklists, evidence trails, and reporting formats that satisfy review cycles.
12 chapters in this module
- Audit planning cycle
- Evidence sufficiency criteria
- Interview techniques
- Document sampling methods
- AI model documentation review
- Policy compliance checks
- Control testing protocols
- Findings classification
- Remediation tracking
- Report drafting standards
- Executive summary preparation
- Follow-up audit scheduling
Module 7. Stakeholder Communication and Alignment
Align engineering, legal, risk, and product teams on AI governance expectations. Learn to facilitate cross-functional consensus on control scope.
12 chapters in this module
- Stakeholder mapping
- Governance boundary negotiation
- Cross-team meeting cadence
- Issue escalation paths
- Conflict resolution tactics
- Consensus-building techniques
- Change impact communication
- Training material development
- Feedback loop mechanisms
- Governance committee setup
- Decision logging practice
- Transparency report drafting
Module 8. Performance Evaluation and KPIs
Define meaningful KPIs for AI governance effectiveness. Learn to track control health, incident rates, and policy adherence.
12 chapters in this module
- KPI selection framework
- Governance maturity metrics
- Control effectiveness scoring
- Incident frequency tracking
- Policy update timeliness
- Audit finding resolution
- Stakeholder satisfaction
- Model retraining cadence
- Bias detection rates
- Transparency report completion
- Compliance gap trends
- Improvement backlog tracking
Module 9. Continuous Improvement Processes
Embed feedback loops that drive iterative refinement of AI governance. Learn to prioritize updates based on operational data.
12 chapters in this module
- Improvement cycle definition
- Root cause analysis methods
- Incident post-mortem process
- Audit finding follow-up
- Stakeholder feedback integration
- Regulatory change monitoring
- Benchmarking against peers
- Lessons learned documentation
- Process update workflow
- Version control for frameworks
- Change approval process
- Stakeholder communication of updates
Module 10. Legal and Regulatory Interface
Position ISO 42001 as a compliance foundation for GDPR, CCPA, and other regulations. Learn to demonstrate alignment without overcommitting.
12 chapters in this module
- GDPR linkage points
- CCPA compliance support
- Sector-specific regulation mapping
- Regulator engagement strategy
- Evidence package assembly
- Cross-border data flows
- Legal hold procedures
- Regulatory change tracking
- Interpretation consistency
- Public disclosure alignment
- Enforcement action review
- Voluntary certification benefits
Module 11. Implementation Playbook Development
Build a reusable playbook for ISO 42001 adoption. Learn to document decisions, templates, and workflows that survive team changes.
12 chapters in this module
- Playbook structure design
- Decision rationale capture
- Template library creation
- Version control practice
- Onboarding new members
- Knowledge transfer sessions
- Common scenario responses
- Vendor evaluation checklist
- Internal audit preparation
- Stakeholder alignment log
- Policy update workflow
- Lessons learned integration
Module 12. Sustaining Governance Beyond Certification
Ensure long-term viability of AI governance. Learn to balance rigor with agility in fast-moving environments.
12 chapters in this module
- Governance debt identification
- Technical debt interface
- Resource allocation negotiation
- Executive sponsorship renewal
- Team expansion planning
- Tooling investment roadmap
- Framework evolution tracking
- Lessons from peer organizations
- Adaptation to new AI types
- Public scrutiny preparedness
- Crisis response integration
- Legacy system transition
How this maps to your situation
- Preparing for first ISO 42001 internal audit
- Leading cross-functional AI governance task force
- Designing AI risk register for organizational rollout
- Responding to leadership request for governance framework
Before vs. after
Before
Reactive participation in AI governance discussions, dependent on others to define scope and criteria
After
Proactive leadership in shaping AI governance decisions, with documented authority and repeatable processes
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 3 hours per module, designed to be completed in parallel with ongoing work. Total course time: 36 hours over 6-8 weeks.
How this compares to the alternatives
Unlike generic AI ethics courses or certification prep materials, this program focuses on executable governance design within existing roles. No other resource combines ISO 42001 clause-by-clause breakdown with field-tested implementation playbooks tailored to technical analysts in enterprise environments.
Frequently asked
Who is this course for?
Senior technical analysts, governance leads, and risk practitioners who influence AI system oversight but do not have formal executive authority.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course cover NIST AI RMF or OECD principles?
The course focuses on ISO 42001 as the primary framework, but includes cross-walks to NIST AI RMF and OECD AI Principles where applicable.
$199 one-time. Approximately 3 hours per module, designed to be completed in parallel with ongoing work. Total course time: 36 hours over 6-8 weeks..
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