A tailored course, built for your situation
Become the Go-To Authority on ISO 42001 at Your Firm
Position yourself as the recognised internal expert on AI governance frameworks through proven, deployable mastery of ISO 42001
$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 practitioner leading governance, risk, and compliance implementation in technology services, with influence across teams but not formal executive authority.
Who this is not for
Entry-level auditors, junior risk analysts, or consultants without hands-on framework deployment experience.
What you walk away with
- Lead ISO 42001 implementation projects from initiation to closure
- Answer peer and client questions with confidence using control-by-control clarity
- Produce audit-ready documentation that survives scrutiny
- Become the first internal name mentioned in ISO 42001 discussions
- Shape organisational posture on AI governance through trusted expertise
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001
Understand the structure, intent, and scope of ISO 42001 with precision, differentiating it from related standards and anchoring your role in its deployment.
12 chapters in this module
- What ISO 42001 solves
- Who owns implementation
- Core terminology deep-dive
- AI governance context
- Organisational roles
- Control architecture
- Applicability criteria
- Mapping to practice
- Timeline of adoption
- Integration with ISO 27001
- Key differences from NIST
- Audit expectations
Module 2. Leadership Commitment
Enable executives to act by clarifying their specific responsibilities under Clause 5, so governance starts at the top.
12 chapters in this module
- Top management obligations
- Policy sign-off workflow
- Accountability structures
- Role of technical leads
- Evidence collection
- Board-level communication
- Resource allocation
- Management reviews
- Statement of Applicability
- Risk appetite setting
- Documentation standards
- Performance metrics
Module 3. Organisational Context
Define internal and external stakeholders influencing AI governance, so controls reflect real-world use cases and risk exposure.
12 chapters in this module
- Stakeholder mapping
- Internal dependencies
- Vendor relationships
- Jurisdictional impact
- AI lifecycle stages
- Use-case classification
- Risk drivers
- Compliance linkages
- Data flow tracking
- Third-party oversight
- Change management
- Governance boundaries
Module 4. Risk Assessment Process
Build a repeatable method for identifying and prioritising AI risks aligned with organisational objectives.
12 chapters in this module
- Threat modelling
- Likelihood scales
- Impact categories
- Risk register design
- Scenario planning
- Validation techniques
- Escalation paths
- Automated detection
- Bias identification
- Model transparency
- Human oversight
- Incident response
Module 5. Control Implementation
Deploy controls systematically, linking each to evidence, documentation, and operational ownership.
12 chapters in this module
- Control ownership
- Evidence tracking
- Policy alignment
- Technical enforcement
- Monitoring tools
- Access reviews
- Change logging
- Audit trails
- Version control
- Integration points
- Exception handling
- Remediation workflow
Module 6. Human Oversight Mechanisms
Ensure AI systems remain under meaningful human control, even in automated environments.
12 chapters in this module
- Oversight roles
- Intervention triggers
- Escalation protocols
- Decision logging
- Review frequency
- Staff training
- Accountability chains
- Feedback loops
- Incident reporting
- Waiver tracking
- Ethics review
- Performance thresholds
Module 7. Transparency and Documentation
Produce clear, accessible records that demonstrate compliance and support external audits.
12 chapters in this module
- System purpose statements
- Data source logging
- Model lineage
- Version history
- User notification
- Public disclosures
- Internal reporting
- Audit pack assembly
- Stakeholder summaries
- Change justification
- Compliance attestations
- Retention rules
Module 8. Accuracy and Validity Assurance
Ensure AI outputs meet performance standards and remain reliable over time.
12 chapters in this module
- Performance metrics
- Testing protocols
- Bias detection
- Drift monitoring
- Validation datasets
- Calibration methods
- Error handling
- Fallback processes
- Model retraining
- Accuracy thresholds
- Third-party validation
- Reporting templates
Module 9. Privacy and Data Governance
Align AI processing with GDPR, CCPA, and other privacy regimes through robust data controls.
12 chapters in this module
- Lawful basis checks
- Consent tracking
- Data minimisation
- Anonymisation rules
- Subject rights
- Data protection impact
- Retention limits
- Cross-border rules
- Processor agreements
- Audit readiness
- Breach response
- Vendor DPA alignment
Module 10. Security and Robustness
Protect AI systems from compromise and ensure resilience under adverse conditions.
12 chapters in this module
- Threat modelling
- Adversarial testing
- Input validation
- Model hardening
- Access controls
- Monitoring alerts
- Penetration testing
- Incident response
- Recovery plans
- Availability standards
- Supply chain checks
- Zero-trust alignment
Module 11. Lifecycle Management
Manage AI systems from design through decommissioning with consistent governance.
12 chapters in this module
- Design phase controls
- Development checks
- Testing validation
- Deployment gates
- Monitoring rules
- Change control
- Version management
- Decommissioning steps
- Knowledge transfer
- Documentation updates
- Vendor exit
- Lessons learned
Module 12. Audit and Continuous Improvement
Prepare for internal and external audits while embedding feedback loops for ongoing enhancement.
12 chapters in this module
- Internal audit process
- Readiness checklist
- Evidence collection
- Response preparation
- Deficiency tracking
- Root cause analysis
- Improvement plans
- Management review
- KPIs and metrics
- Benchmarking
- Stakeholder feedback
- Next cycle planning
How this maps to your situation
- When defining AI governance scope
- When leading first ISO 42001 engagement
- When responding to client audit request
- When advising leadership on compliance strategy
Before vs. after
Before
Relies on fragmented guidance and reactive input when addressing AI governance demands.
After
Confidently leads ISO 42001 initiatives with structured documentation, stakeholder alignment, and audit readiness.
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 integration into real project timelines.
If nothing changes
Remaining a generalist in AI governance limits visibility and defers influence to peers who specialise.
How this compares to the alternatives
Unlike generic compliance courses, this program delivers ISO 42001-specific frameworks with templates and narrative positioning that elevate your internal standing.
Frequently asked
Who is this course designed for?
Senior technical practitioners leading or influencing AI governance and compliance implementation in services organisations.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is prior ISO 42001 experience required?
No , the course builds from foundational concepts to advanced implementation, tailored for real-world delivery.
$199 one-time. Approximately 3 hours per module, designed for integration into real project timelines..
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