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DAT6054 Mastering ISO 42001 for AI Product Ownership in Regulated Markets

$199.00
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A tailored course, built for your situation

Mastering ISO 42001 for AI Product Ownership in Regulated Markets

Build AI governance that earns executive confidence and accelerates delivery

$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.
AI governance work is often invisible until something goes wrong

The situation this course is for

Practitioners do the right work, but without structured visibility, leadership only engages after incidents or audits, missing the opportunity to scale proactive design.

Who this is for

AI Product Owner in a regulated consulting firm, delivering technical solutions while navigating compliance expectations

Who this is not for

Entry-level compliance staff, board members, or teams seeking technical implementation-only training without governance context

What you walk away with

  • Produce ISO 42001-compliant documentation that doubles as stakeholder communication
  • Anticipate and shape executive questions before they arise
  • Turn audit requirements into product roadmap clarity
  • Build repeatable governance patterns across client engagements
  • Position yourself as the reference point for AI governance decisions

The 12 modules (with all 144 chapters)

Module 1. Understanding ISO 42001 in AI Context
Ground your AI governance in the actual clauses of ISO 42001, not abstract principles. Map each control to real product decisions like data provenance, model transparency, and human oversight boundaries.
12 chapters in this module
  1. Scope definition for AI systems
  2. Risk assessment methodology
  3. Defining AI system boundaries
  4. Stakeholder identification process
  5. Legal and regulatory mapping
  6. Initial control baseline setup
  7. Documenting AI purpose and intent
  8. Human oversight requirements
  9. Transparency expectation calibration
  10. Performance monitoring thresholds
  11. Change management triggers
  12. Model lifecycle definition
Module 2. Establishing Leadership Commitment
Frame ISO 42001 adoption as a leadership enabler, not a constraint. Learn how to communicate governance outcomes in terms of delivery speed, client trust, and risk reduction.
12 chapters in this module
  1. Executive communication strategy
  2. Defining governance success metrics
  3. Aligning with business objectives
  4. Reporting progress without jargon
  5. Securing resource commitments
  6. Building cross-functional buy-in
  7. Linking compliance to value delivery
  8. Avoiding over-documentation traps
  9. Creating executive summaries
  10. Positioning controls as guardrails
  11. Measuring governance maturity
  12. Maintaining momentum post-audit
Module 3. Designing AI System Controls
Turn ISO 42001 requirements into specific, testable controls that integrate directly into product development workflows and sprint planning.
12 chapters in this module
  1. Control selection methodology
  2. Mapping controls to development phases
  3. Defining acceptance criteria
  4. Integrating into CI/CD pipelines
  5. Automated control testing
  6. Manual review checkpoints
  7. Version control for model decisions
  8. Data quality assurance steps
  9. Bias detection protocols
  10. Explainability standards
  11. Fallback mechanism design
  12. Incident response triggers
Module 4. Data Governance Integration
Connect ISO 42001 data requirements to existing data management practices. Ensure lineage, provenance, and consent are operational, not just policy statements.
12 chapters in this module
  1. Data inventory creation
  2. Source documentation standards
  3. Consent tracking mechanisms
  4. Data retention rules
  5. Anonymization requirements
  6. Data access logging
  7. Third-party data handling
  8. Model input validation
  9. Output monitoring design
  10. Data drift detection
  11. Data quality reporting
  12. Data incident response
Module 5. Human Oversight Mechanisms
Define clear human intervention points in AI workflows that satisfy ISO 42001 while maintaining operational efficiency and user trust.
12 chapters in this module
  1. Identifying critical decision points
  2. Designing handover protocols
  3. Training for human reviewers
  4. Setting escalation thresholds
  5. Response time requirements
  6. Audit trail capture
  7. Review documentation standards
  8. Feedback loop integration
  9. Performance review frequency
  10. Override authority definition
  11. Monitoring reviewer fatigue
  12. Balancing automation with control
Module 6. Transparency and Explainability
Build documentation and interface patterns that fulfill ISO 42001 transparency obligations without compromising usability or security.
12 chapters in this module
  1. User-facing explanation design
  2. Technical documentation standards
  3. Model card creation
  4. Performance benchmarking
  5. Limitation disclosure methods
  6. Change notification protocols
  7. Stakeholder communication templates
  8. Version difference tracking
  9. Accuracy reporting formats
  10. Uncertainty communication
  11. Error mode documentation
  12. Assumption logging
Module 7. Robustness and Accuracy
Implement testing and monitoring practices that ensure AI systems meet ISO 42001 reliability standards across diverse operational conditions.
12 chapters in this module
  1. Test environment design
  2. Stress testing scenarios
  3. Edge case identification
  4. Performance degradation detection
  5. Model retraining triggers
  6. Accuracy threshold setting
  7. Output consistency checks
  8. Input validation rules
  9. Adversarial testing
  10. Model drift monitoring
  11. Fallback performance standards
  12. System recovery procedures
Module 8. Privacy and Data Protection
Align ISO 42001 AI governance with GDPR and other privacy regulations through integrated controls and documentation practices.
12 chapters in this module
  1. Privacy impact assessment process
  2. Data minimization implementation
  3. Purpose limitation enforcement
  4. Consent management integration
  5. Right to explanation workflows
  6. Data subject request handling
  7. Anonymization techniques
  8. Pseudonymization standards
  9. Cross-border data flow rules
  10. Processor agreements
  11. Third-party audit readiness
  12. Breach response coordination
Module 9. Accountability and Audit Readiness
Create documentation and artefacts that make audits predictable and efficient, turning compliance into a competitive advantage.
12 chapters in this module
  1. Audit evidence collection
  2. Control mapping documentation
  3. Internal review processes
  4. Gap assessment methodology
  5. Remediation tracking
  6. Audit trail maintenance
  7. Evidence retention policies
  8. Stakeholder access protocols
  9. External auditor coordination
  10. Deficiency reporting process
  11. Corrective action workflows
  12. Continuous improvement cycle
Module 10. Implementation Roadmap
Develop a phased, practical plan to deploy ISO 42001 governance across multiple AI products and client engagements.
12 chapters in this module
  1. Assessment of current state
  2. Prioritization framework
  3. Resource allocation planning
  4. Milestone definition
  5. Dependency mapping
  6. Risk mitigation planning
  7. Stakeholder engagement plan
  8. Change management approach
  9. Training needs analysis
  10. Tooling selection criteria
  11. Success measurement
  12. Scaling strategy
Module 11. Cross-Functional Alignment
Coordinate ISO 42001 implementation across legal, compliance, engineering, and product teams using shared artefacts and common language.
12 chapters in this module
  1. Inter-team communication protocols
  2. Shared documentation standards
  3. Joint review processes
  4. Conflict resolution framework
  5. Escalation pathways
  6. Meeting structure design
  7. Decision log maintenance
  8. Feedback integration
  9. Role clarification
  10. Boundary definition
  11. Collaboration tools
  12. Progress tracking
Module 12. Sustaining Governance Over Time
Ensure long-term adherence to ISO 42001 through continuous monitoring, improvement processes, and organizational learning.
12 chapters in this module
  1. Ongoing performance monitoring
  2. Regular review cycles
  3. Update triggers
  4. Stakeholder feedback loops
  5. Lessons learned capture
  6. Best practice sharing
  7. Training refresh cycles
  8. Policy update process
  9. External standard tracking
  10. Benchmarking against peers
  11. Innovation integration
  12. Governance culture building

How this maps to your situation

  • Product Owner needs to demonstrate AI governance maturity
  • Team prepares for external audit
  • Client requires ISO 42001 alignment
  • Organization scales AI product delivery

Before vs. after

Before
AI governance is reactive, fragmented, and invisible to leadership
After
AI governance is proactive, structured, and recognized as a strategic enabler

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 60 minutes per module, designed to fit around delivery commitments.

If nothing changes
Continuing without structured visibility means continued reactive positioning, missed opportunities for influence, and potential compliance gaps as AI initiatives scale.

How this compares to the alternatives

Unlike generic compliance training, this course is tailored to AI product owners in consulting firms, focusing on practical artefacts, executive communication, and client-facing implementation.

Frequently asked

Is this course specific to ISO 42001?
Yes, it focuses entirely on implementing and communicating ISO 42001 for AI systems, with no abstraction to general governance.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use this across client engagements?
Yes, the templates and playbook are designed for reuse across regulated AI implementations.
$199 one-time. Approximately 60 minutes per module, designed to fit around delivery commitments..

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