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Deeper command of the ISO 42001 framework

$199.00
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A tailored course, built for your situation

Deeper command of the ISO 42001 framework

Master the structure, controls, and implementation patterns of AI management systems with precision

$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 translate AI governance frameworks into working systems

The situation this course is for

Teams invest in AI governance but stall when turning standards into deployable controls. Without deep command of ISO 42001, practitioners fall back on templates without context, leading to rework, audit gaps, and diluted accountability.

Who this is for

Senior technical practitioner implementing AI governance in complex environments

Who this is not for

Those looking for high-level overviews or executive summaries of AI risk

What you walk away with

  • Complete working knowledge of ISO 42001 control objectives and clause intent
  • Ability to map controls directly to technical implementation patterns
  • Confidence in defending design choices during internal and external reviews
  • Reusable templates for statements of applicability, control narratives, and gap assessments
  • Faster iteration from framework adoption to working AI management system

The 12 modules (with all 144 chapters)

Module 1. Understanding ISO 42001 scope and context
Define organizational boundaries, stakeholder roles, and AI system inventory requirements aligned with clause 4. Define what falls in and out of scope with precision.
12 chapters in this module
  1. Scope definition
  2. Stakeholder mapping
  3. AI system inventory
  4. Context analysis
  5. Risk appetite alignment
  6. Governance boundaries
  7. Clause 4 compliance
  8. Documentation standards
  9. Internal audit prep
  10. Version control
  11. Change thresholds
  12. Review cycle design
Module 2. Leadership and commitment alignment
Translate top management expectations into enforceable policies and accountability frameworks. Link executive intent to technical delivery.
12 chapters in this module
  1. Policy drafting
  2. Management review cycles
  3. Accountability mapping
  4. Resource planning
  5. Commitment evidence
  6. Role definitions
  7. Escalation paths
  8. Decision logs
  9. Sign-off workflows
  10. Audit readiness
  11. Compliance tracking
  12. Performance indicators
Module 3. AI risk assessment methodology
Build a repeatable process for identifying, scoring, and prioritizing AI risks using ISO 42001 Annex A controls as anchors.
12 chapters in this module
  1. Risk criteria setup
  2. Hazard identification
  3. Impact scoring
  4. Likelihood assessment
  5. Risk register design
  6. Control mapping
  7. Mitigation planning
  8. Third-party risks
  9. Emergent risk tracking
  10. Review frequency
  11. Automation triggers
  12. Reporting cadence
Module 4. Control selection and tailoring
Select and justify controls from Annex A based on risk profile, technical feasibility, and organizational maturity.
12 chapters in this module
  1. Control library use
  2. Justification patterns
  3. Tailoring rationale
  4. Exclusion criteria
  5. Implementation level
  6. Integration points
  7. Validation methods
  8. Documentation depth
  9. Audit trail design
  10. Versioning controls
  11. Cross-reference mapping
  12. Maintenance planning
Module 5. Statement of Applicability creation
Build a defensible, living SoA that aligns with audit expectations and internal governance standards.
12 chapters in this module
  1. SoA structure
  2. Control inclusion
  3. Exclusion justification
  4. Implementation status
  5. Ownership assignment
  6. Review cycle
  7. Version history
  8. Stakeholder input
  9. Audit alignment
  10. Gap tracking
  11. Remediation planning
  12. Status reporting
Module 6. AI system lifecycle controls
Embed governance across design, development, testing, deployment, and decommissioning phases.
12 chapters in this module
  1. Lifecycle phases
  2. Design review gates
  3. Testing protocols
  4. Deployment checks
  5. Monitoring rules
  6. Decommissioning plan
  7. Change control
  8. Version rollback
  9. Incident response
  10. Audit logging
  11. Access control
  12. Data lineage
Module 7. Transparency and documentation
Ensure all AI system decisions are recorded, justified, and accessible for review.
12 chapters in this module
  1. Decision logging
  2. Rationale capture
  3. Stakeholder comms
  4. Public disclosure
  5. Internal reporting
  6. Audit trail setup
  7. Version control
  8. Access policies
  9. Retention rules
  10. Review workflows
  11. Update triggers
  12. Archive process
Module 8. Human oversight mechanisms
Design meaningful human-in-the-loop and human-on-the-loop controls for high-risk AI systems.
12 chapters in this module
  1. Oversight scope
  2. Intervention points
  3. Escalation rules
  4. Monitoring dashboards
  5. Alert thresholds
  6. Review frequency
  7. Fallback procedures
  8. Training needs
  9. Role clarity
  10. Accountability tracking
  11. Performance metrics
  12. Incident review
Module 9. Performance monitoring and evaluation
Establish KPIs, thresholds, and review cycles to ensure ongoing compliance and effectiveness.
12 chapters in this module
  1. KPI definition
  2. Threshold setting
  3. Monitoring tools
  4. Alerting rules
  5. Review meetings
  6. Performance dashboards
  7. Trend analysis
  8. Root cause review
  9. Corrective actions
  10. Update triggers
  11. Stakeholder reporting
  12. Audit alignment
Module 10. Internal audit preparation
Prepare for audits with complete documentation, clear justifications, and rehearsed responses.
12 chapters in this module
  1. Audit scope
  2. Document checklist
  3. Evidence collection
  4. Interview prep
  5. Deficiency handling
  6. Corrective planning
  7. Follow-up process
  8. Management reporting
  9. Timeline planning
  10. Resource allocation
  11. Mock audits
  12. Audit closure
Module 11. Continuous improvement cycle
Embed feedback loops and update mechanisms to keep the AI management system current.
12 chapters in this module
  1. Feedback sources
  2. Review triggers
  3. Update workflows
  4. Stakeholder input
  5. Change approval
  6. Version control
  7. Communication plan
  8. Training updates
  9. Policy refresh
  10. Control evolution
  11. Technology shifts
  12. Regulatory changes
Module 12. Scaling across teams and systems
Replicate success across multiple AI systems and teams with standardized patterns and governance oversight.
12 chapters in this module
  1. Pattern library
  2. Governance layer
  3. Team onboarding
  4. Central oversight
  5. Local adaptation
  6. Compliance tracking
  7. Audit coordination
  8. Knowledge sharing
  9. Tool integration
  10. Metrics aggregation
  11. Risk pooling
  12. Lessons learned

How this maps to your situation

  • After adopting ISO 42001 at the organizational level
  • When building the first AI management system
  • Before internal audit cycles
  • During vendor or third-party AI integration

Before vs. after

Before
Working from fragmented guidance, relying on others to interpret ISO 42001 controls, and struggling to defend implementation choices
After
Owning the full framework with confidence, producing audit-ready artefacts, and leading AI governance rollouts 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 12 hours total, designed to be completed in short sessions across two weeks.

If nothing changes
Without deep command of ISO 42001, practitioners remain contributors rather than leaders, dependent on external guidance, and vulnerable to rework during audits or leadership changes.

How this compares to the alternatives

Unlike generic compliance courses, this program focuses exclusively on ISO 42001 with technical depth, implementation patterns, and artefact templates tailored to developers and practitioners in consulting environments.

Frequently asked

Is this course technical or executive-focused?
It's designed for technical practitioners who need to implement and defend ISO 42001 controls in real systems.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive templates?
Yes, every module includes downloadable templates and worked examples.
$199 one-time. Approximately 12 hours total, designed to be completed in short sessions across two 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
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