A tailored course, built for your situation
Mastering ISO 42001 for Senior Program Managers in Defense and Aerospace
A structured path to owning AI governance frameworks with confidence and clarity
$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.
Being questioned on AI governance decisions without a solid, referenceable foundation to stand on
The situation this course is for
Even experienced program leads face pushback when rolling out new standards, especially when those standards intersect with emerging technology like AI. Without clear sources, specific examples, and documented reasoning, stakeholders default to skepticism, slowing adoption and diluting authority.
Who this is for
Senior Program Manager in regulated, high-assurance industries (defense, aerospace, critical infrastructure) responsible for delivering compliant, auditable, and technically sound programs involving AI systems
Who this is not for
Entry-level coordinators, consultants selling generalized frameworks, or practitioners focused only on non-technical compliance checklists
What you walk away with
- Articulate the rationale behind each ISO 42001 control with confidence, using official sources and annotated examples
- Reference real-world implementations and documented precedents when challenged
- Map AI governance decisions directly to program-level risk and compliance outcomes
- Build stakeholder trust through transparent, defensible decision logs
- Lead ISO 42001 scoping discussions with technical teams using structured, repeatable logic
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 in Context
Ground ISO 42001 within the broader AI governance landscape, focusing on its intent, scope, and alignment with defense and aerospace program needs.
12 chapters in this module
- Origins of ISO 42001
- Relationship to NIST AI RMF
- Defense sector use cases
- AI governance vs. traditional compliance
- Stakeholder expectations mapping
- Scope boundaries for programs
- AI system categorization framework
- Regulatory recognition trends
- Audit expectations in aerospace
- Control families overview
- Linkage to program lifecycle
- Implementation mindset shift
Module 2. Control 1: Organizational Oversight of AI
Break down the first control domain with program-level implementation tactics, documentation standards, and reference examples.
12 chapters in this module
- Defining AI governance policy
- Establishing oversight roles
- AI register requirements
- Accountability matrix design
- Delegation of authority rules
- Cross-functional coordination
- Reporting cadence setup
- Document retention standards
- Policy version control
- Stakeholder sign-off patterns
- Audit trail essentials
- Control implementation proof
Module 3. Control 2: Human and Organizational Awareness
Implement training and awareness strategies tailored to technical teams and program stakeholders.
12 chapters in this module
- Role-based training needs
- AI literacy baseline
- Change management planning
- Internal comms strategy
- Training delivery formats
- Competency assessment
- Feedback loop design
- Documentation standards
- Knowledge retention tactics
- Third-party awareness
- Incident reporting culture
- Audit readiness checks
Module 4. Control 3: Risk Management for AI Systems
Apply ISO 42001 risk assessment principles to real-world aerospace use cases with traceable decision logic.
12 chapters in this module
- AI-specific risk taxonomy
- Hazard identification
- Likelihood scoring model
- Impact categorization
- Risk tolerance levels
- Mitigation hierarchy
- Control effectiveness metrics
- Residual risk articulation
- Stakeholder alignment
- Risk register structure
- Independent validation
- Audit trail setup
Module 5. Control 4: AI System Specification
Develop precise, auditable requirements for AI systems in defense programs using ISO 42001 criteria.
12 chapters in this module
- Functional requirements
- Performance metrics
- Bias and fairness criteria
- Transparency standards
- Explainability expectations
- Data provenance rules
- Version control mandates
- Interface specifications
- Security-by-design integration
- Lifecycle stage definition
- Compliance alignment
- Acceptance criteria
Module 6. Control 5: Data Management for AI
Implement data governance practices that satisfy ISO 42001 while supporting program delivery goals.
12 chapters in this module
- Data quality assurance
- Bias detection methods
- Data lineage tracking
- Anonymization requirements
- Data retention rules
- Third-party data use
- Data access controls
- Data validation cycles
- Labeling accuracy metrics
- Training set documentation
- Data drift monitoring
- Compliance audit checks
Module 7. Control 6: AI System Design and Development
Translate governance into technical design choices with traceable rationale and audit-ready documentation.
12 chapters in this module
- Design for explainability
- Model validation rules
- Algorithm selection criteria
- Development environment standards
- Versioning strategy
- Code review protocols
- Testing coverage minimums
- Security integration points
- Bias mitigation tactics
- Transparency documentation
- Peer review process
- Design traceability matrix
Module 8. Control 7: AI System Deployment and Use
Ensure compliant, controlled deployment of AI systems in operational environments.
12 chapters in this module
- Deployment pre-checks
- User authorization rules
- Monitoring requirements
- Incident response plan
- Fallback mechanism design
- Change management process
- Version rollback protocol
- User support framework
- Usage logging standards
- Compliance monitoring
- Audit trail maintenance
- Decommissioning criteria
Module 9. Control 8: Monitoring and Auditability
Establish ongoing monitoring practices that meet ISO 42001 standards and survive regulatory scrutiny.
12 chapters in this module
- Performance tracking metrics
- Bias re-evaluation cycles
- Model drift detection
- Logging completeness checks
- Incident review process
- Audit preparedness
- Internal audit schedule
- External auditor access
- Evidence collection protocol
- Finding remediation process
- Reporting frequency
- Continuous improvement loop
Module 10. Control 9: AI System Life Cycle Management
Manage full lifecycle governance with defined phases, exit criteria, and documentation standards.
12 chapters in this module
- Lifecycle phase definitions
- Entry and exit criteria
- Phase review process
- Documentation handoffs
- Version transition rules
- Retirement planning
- Knowledge transfer process
- Lessons learned capture
- Compliance continuity
- Vendor coordination
- Regulatory reporting
- Audit trail preservation
Module 11. Control 10: Supplier and Third-Party Management
Govern vendor relationships and external AI components with ISO 42001 rigor.
12 chapters in this module
- Vendor assessment criteria
- Contractual obligations
- Due diligence process
- Third-party audit rights
- Subcontractor oversight
- Compliance verification
- Incident escalation paths
- Performance monitoring
- Exit strategies
- IP protection terms
- Data handling agreements
- Audit trail access
Module 12. Building Defensible AI Governance Artifacts
Compile, refine, and leverage program-level artefacts that withstand technical and regulatory scrutiny.
12 chapters in this module
- Statement of Applicability guide
- Control implementation proof
- Risk assessment documentation
- Audit trail structure
- Stakeholder alignment logs
- Decision rationale templates
- Evidence packaging
- Regulator Q&A prep
- Internal review packets
- Version control system setup
- Cross-program reuse
- Legacy transition strategy
How this maps to your situation
- Leading AI governance in a defense program
- Responding to internal audit questions
- Preparing for external certification
- Justifying governance investments to leadership
Before vs. after
Before
Having to improvise explanations when peers question AI governance decisions, relying on high-level justifications without deep reference points.
After
Walking through the why of every key choice with specific sources, examples, and documented reasoning that others can follow and trust.
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 8, 10 hours of focused reading and implementation planning, designed to fit within a single workweek.
If nothing changes
Without a defensible foundation, even well-designed AI governance initiatives can stall due to skepticism, second-guessing, or lack of stakeholder trust , delaying programs and diluting leadership credibility.
How this compares to the alternatives
Generic AI ethics courses offer broad principles but lack ISO 42001 specificity. Public frameworks lack program-level traceability. This course delivers exact control mappings, real-world examples, and defensible rationale tailored to defense and aerospace program managers.
Frequently asked
Is this course up to date with the latest ISO 42001 standard?
Yes, the course is based on the published ISO/IEC 42001:the current cycle standard, with ongoing updates tracked in the implementation playbook.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me prepare for an audit?
Yes, every module includes documentation standards, evidence types, and audit-facing artefacts aligned with ISO 42001 expectations.
$199 one-time. Approximately 8, 10 hours of focused reading and implementation planning, designed to fit within a single workweek..
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