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Direct sign-off authority on ISO 42001 framework decisions

$199.00
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A tailored course, built for your situation

Direct sign-off authority on ISO 42001 framework decisions

A tailored course for senior AI engineers owning AI governance at scale

$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 AI & Robotics Engineer leading technical governance in a global services firm facing skill displacement pressure and rising client demand for certified AI systems

Who this is not for

Engineers focused only on model development without governance responsibility, or those without authority to influence framework-level decisions

What you walk away with

  • Full ownership of the ISO 42001 scope boundary without escalation
  • Authority to approve the Statement of Applicability (SoA) independently
  • Final say on which controls are included or excluded based on risk context
  • Direct responsibility for maintaining the register of AI-specific control implementations
  • Recognition as the internal reference for ISO 42001 compliance across technical teams

The 12 modules (with all 144 chapters)

Module 1. Mapping AI systems to ISO 42001 control objectives
Learn how to align robotics and AI pipelines with ISO 42001 requirements without over-engineering. Build a control map that reflects actual system architecture.
12 chapters in this module
  1. Initial scope scoping
  2. AI system inventory
  3. Control relevance filter
  4. Risk context baseline
  5. Stakeholder alignment
  6. Boundary definition
  7. Compliance threshold
  8. Exemption rationale
  9. Control-by-control mapping
  10. Gap identification
  11. Remediation roadmap
  12. Baseline approval
Module 2. Building the Statement of Applicability
Step-by-step guidance on structuring the SoA with defensible justifications, including AI-specific exclusions and implementation depth.
12 chapters in this module
  1. SoA structure
  2. Control inclusion criteria
  3. AI-specific exclusions
  4. Justification language
  5. Implementation depth
  6. Evidence mapping
  7. Version control
  8. Internal review prep
  9. Stakeholder sign-off
  10. Update cadence
  11. Audit trail
  12. Final approval
Module 3. Defining AI-specific control implementations
Turn abstract controls into specific, auditable actions across model training, deployment, and robotics feedback loops.
12 chapters in this module
  1. Control interpretation
  2. AI training logging
  3. Model version tracking
  4. Bias testing cadence
  5. Human oversight design
  6. Robotics control logs
  7. Fail-safe protocols
  8. Incident response
  9. Third-party AI use
  10. Prompt governance
  11. Model access controls
  12. Audit readiness
Module 4. Ownership of internal audit preparation
Lead audit readiness without external dependency. Define evidence collection, test plans, and response strategy.
12 chapters in this module
  1. Audit scope definition
  2. Evidence inventory
  3. Sampling strategy
  4. Interview prep
  5. Control testing
  6. Deficiency logging
  7. Remediation tracking
  8. Response drafting
  9. Timeline planning
  10. Escalation protocol
  11. Review cycle
  12. Final submission
Module 5. Managing continuous compliance
Design a living system that adapts to model updates, robotics changes, and new client demands without compliance lag.
12 chapters in this module
  1. Change impact filter
  2. Model update triggers
  3. Robotics firmware review
  4. Control review cadence
  5. Automated alerts
  6. Compliance debt
  7. Version comparison
  8. Stakeholder comms
  9. Update approval
  10. Documentation sync
  11. Audit trail update
  12. Status reporting
Module 6. Leading cross-functional alignment
Drive consensus across security, legal, and delivery teams with structured inputs and clear ownership boundaries.
12 chapters in this module
  1. Stakeholder map
  2. Input requirements
  3. Decision log
  4. Conflict protocol
  5. RACI for controls
  6. Change coordination
  7. Feedback loop
  8. Escalation path
  9. Documentation access
  10. Review cycle
  11. Status updates
  12. Final integration
Module 7. Vendor and third-party AI oversight
Set binding requirements for external AI tools and robotics components included in client systems.
12 chapters in this module
  1. Vendor inventory
  2. Third-party control review
  3. Contract alignment
  4. Audit rights
  5. Evidence requirements
  6. Compliance certification
  7. Risk tiering
  8. Monitoring method
  9. Incident response
  10. Exit criteria
  11. Renewal review
  12. Termination trigger
Module 8. Human-AI interaction controls
Design safeguards for human oversight, escalation, and intervention in autonomous robotics and AI systems.
12 chapters in this module
  1. Oversight role
  2. Intervention protocol
  3. Escalation path
  4. Threshold rules
  5. Response logging
  6. Training requirement
  7. Simulation testing
  8. Fail-safe activation
  9. Handover process
  10. Audit trail
  11. Review cycle
  12. Update approval
Module 9. Data lineage and provenance for AI training
Ensure traceability of training data across robotics and AI models to meet transparency and fairness requirements.
12 chapters in this module
  1. Data source mapping
  2. Lineage tracking
  3. Provenance logging
  4. Bias source review
  5. Data refresh impact
  6. Version alignment
  7. Retention rules
  8. Access logging
  9. Audit trail
  10. Update process
  11. Stakeholder access
  12. Final validation
Module 10. Incident response for AI and robotics systems
Build a response framework for model drift, unexpected robotic behavior, and AI misuse.
12 chapters in this module
  1. Incident definition
  2. Detection methods
  3. Response team
  4. Containment steps
  5. Root cause analysis
  6. Regulatory reporting
  7. Client comms
  8. Remediation plan
  9. System rollback
  10. Audit trail
  11. Post-mortem
  12. Update cycle
Module 11. Security foundation for AI and robotics
Align AI systems with core information security principles while respecting model performance needs.
12 chapters in this module
  1. Access control
  2. Model encryption
  3. Endpoint security
  4. Network segmentation
  5. Privilege management
  6. Logging standard
  7. Threat monitoring
  8. Vulnerability scanning
  9. Patch cycle
  10. Penetration testing
  11. Incident correlation
  12. Audit alignment
Module 12. Sustaining leadership in AI governance
Turn individual ownership into lasting influence by building playbooks, training, and repeatable practices.
12 chapters in this module
  1. Knowledge transfer
  2. Playbook creation
  3. Training design
  4. Onboarding integration
  5. Version control
  6. Peer review
  7. Lessons learned
  8. Benchmark tracking
  9. External validation
  10. Recognition strategy
  11. Succession plan
  12. Final handover

How this maps to your situation

  • When starting a new ISO 42001 implementation
  • When preparing for internal or client audit
  • When integrating third-party AI systems
  • When updating models or robotics firmware

Before vs. after

Before
Reactive participation in ISO 42001 discussions without final decision rights
After
Full ownership of framework decisions, including control scope, SoA approval, 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 completion over 6-8 weeks with flexibility to pause and resume.

How this compares to the alternatives

Unlike generic compliance courses, this program is built specifically for senior AI engineers who must own ISO 42001 decisions without escalation. No other course grants this level of operational command with field-tested templates.

Frequently asked

Who is this course designed for?
Senior AI and robotics engineers who are accountable for AI governance and need to make binding decisions on ISO 42001 implementation.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course include templates?
Yes, every module includes downloadable templates and real-world examples used in live ISO 42001 implementations.
$199 one-time. Approximately 3 hours per module, designed for completion over 6-8 weeks with flexibility to pause and resume..

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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