A tailored course, built for your situation
Deeper command of the ISO 42001 control framework
Master the structure, intent, and implementation levers of AI management systems
$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 technologist leading AI governance implementation in a federal-focused services firm
Who this is not for
Entry-level auditors or practitioners not responsible for framework-level decisions
What you walk away with
- Complete mental model of ISO 42001 control objectives and their interdependencies
- Ability to map organizational workflows directly to required clauses
- Confidence in adjusting scope and controls without weakening compliance posture
- Clarity on how each control translates into audit-ready documentation
- Faster iteration from policy intent to working implementation artefact
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 and its role in AI governance
Groundwork for the standard’s purpose, scope, and fit within broader AI risk management frameworks.
12 chapters in this module
- What ISO 42001 solves
- How it differs from ISO 27001
- AI-specific risks it addresses
- Relationship to NIST AI RMF
- Organizational eligibility
- High-level structure of the standard
- Clause-by-clause overview
- Key terms and definitions
- Management system philosophy
- Role of top management
- Documentation expectations
- Implementation timeline norms
Module 2. Context of the organization and leadership commitment
How to define organizational context and secure leadership buy-in for AI governance.
12 chapters in this module
- Identifying interested parties
- Defining external context
- Mapping internal context
- Determining scope boundaries
- Leadership responsibilities
- Establishing policy ownership
- Allocating resources
- Accountability structures
- Risk appetite definition
- Oversight mechanisms
- Management review cadence
- Performance indicators
Module 3. Planning the AI management system
Designing controls and processes that meet ISO 42001 requirements.
12 chapters in this module
- Risk assessment approach
- Opportunity identification
- Control selection criteria
- Documenting risk treatment
- Setting objectives
- Planning for change
- Resource alignment
- Timeline structuring
- Stakeholder input
- Legal compliance checks
- Third-party considerations
- Integration with existing systems
Module 4. Support functions and resource management
Ensuring adequate support for AI governance through people, data, and infrastructure.
12 chapters in this module
- Competency requirements
- Training planning
- Awareness mechanisms
- Communication protocols
- Document control
- Data integrity checks
- Infrastructure needs
- Version control
- Access management
- Retention policies
- Confidentiality standards
- Vendor data handling
Module 5. Operation of AI management processes
Executing AI governance according to ISO 42001 control specifications.
12 chapters in this module
- Process design controls
- Bias testing cadence
- Transparency implementation
- Human oversight design
- Logging requirements
- Model validation timing
- Change management process
- Incident response triggers
- Update approval workflow
- Monitoring thresholds
- Performance metrics
- Escalation paths
Module 6. Monitoring, measurement, and evaluation
Tracking effectiveness and compliance of AI governance controls.
12 chapters in this module
- Monitoring objectives
- Audit trail completeness
- KPIs for AI systems
- Effectiveness reviews
- Compliance tracking
- Feedback collection
- Performance reporting
- Management review inputs
- Control adjustments
- Remediation planning
- Trend analysis
- Benchmarking approach
Module 7. Internal audit program for AI systems
Conducting audits that validate ISO 42001 compliance across AI deployments.
12 chapters in this module
- Audit planning cycle
- Scope definition
- Checklist development
- Sampling strategy
- Evidence collection
- Interview techniques
- Gap documentation
- Control testing
- Findings classification
- Reporting format
- Follow-up timing
- Audit schedule coordination
Module 8. Management review and continual improvement
Ensuring leadership evaluates AI governance performance and drives enhancements.
12 chapters in this module
- Review frequency
- Input preparation
- Presentation structure
- Decision tracking
- Improvement planning
- Resource needs
- Policy updates
- Objective adjustments
- Risk reassessment
- Control refinement
- Change implementation
- Effectiveness validation
Module 9. Documenting the AI management system
Creating compliant, auditable documentation for ISO 42001.
12 chapters in this module
- Required documents list
- Statement of Applicability structure
- Policy drafting
- Procedure writing
- Record keeping
- Version control format
- Document approval chain
- Storage standards
- Retrieval process
- Access permissions
- Archive requirements
- Review cycles
Module 10. Preparing for external certification
Navigating the ISO 42001 certification audit process.
12 chapters in this module
- Choosing a registrar
- Pre-audit readiness check
- Documentation review
- Internal audit closeout
- Corrective action tracking
- Stage 1 audit prep
- Evidence compilation
- Interview preparation
- Nonconformance response
- Stage 2 audit execution
- Certification decision
- Surveillance planning
Module 11. Tailoring ISO 42001 to federal and defense contexts
Adapting the standard for the firm’s client environment and risk profile.
12 chapters in this module
- Federal AI use cases
- DoD alignment needs
- Classified system handling
- Supply chain controls
- CMMC overlap points
- Regulatory expectations
- NIST CSF integration
- Audit jurisdiction
- Clearance implications
- Reporting chains
- Interagency coordination
- National security exceptions
Module 12. Extending ISO 42001 to multi-vendor ecosystems
Applying the standard across third-party AI integrations and partnerships.
12 chapters in this module
- Vendor risk assessment
- Contractual controls
- Subprocessor oversight
- Joint audit rights
- Compliance verification
- API security standards
- Shared responsibility model
- Incident coordination
- Performance monitoring
- Exit planning
- Renewal compliance
- Escalation procedures
How this maps to your situation
- When designing new AI governance framework
- Before audit preparation begins
- During internal compliance review
- When expanding AI use across agencies
Before vs. after
Before
Surface-level familiarity with ISO 42001, relying on checklists and guidance documents.
After
Complete command of the framework, able to design, justify, and defend AI governance implementations independently.
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 for completion within 6 weeks.
How this compares to the alternatives
Unlike generic compliance courses, this program offers deep technical interpretation of ISO 42001 clauses with federal implementation patterns and direct mapping to operational workflows, not just policy summaries.
Frequently asked
Who is this course for?
Senior technologists and implementation leads responsible for building or auditing AI management systems aligned with ISO 42001.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there a focus on federal application?
Yes, Module 11 addresses tailoring for federal and defense-sector requirements, including alignment with NIST CSF and CMMC.
$199 one-time. Approximately 3 hours per module, designed for completion within 6 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