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DAT7977 Mastering ISO 42001 for Project Leaders in Global Services

$199.00
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A tailored course, built for your situation

Mastering ISO 42001 for Project Leaders in Global Services

Build authority in AI governance frameworks and shape decisions across delivery teams

$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.
Feeling sidelined when AI governance decisions are made without your input

The situation this course is for

Project managers often coordinate critical pieces of compliance and governance work but aren't invited into the room where standards are interpreted or applied. Their contributions remain operational rather than strategic, even when they hold the clearest view of implementation realities.

Who this is for

Project leaders in global services firms who coordinate cross-functional delivery of compliance-critical initiatives and want their expertise to shape technical decisions

Who this is not for

Executives delegating governance entirely, individual contributors without cross-team coordination responsibilities, or consultants focused only on audit pass/fail outcomes

What you walk away with

  • Lead ISO 42001 assessments with confidence and structured documentation
  • Anticipate auditor expectations and prepare evidence proactively
  • Influence vendor selection by evaluating alignment with ISO 42001 controls
  • Guide technical teams using clear, standard-backed rationale during design reviews
  • Create reusable playbooks that survive team turnover and scale across engagements

The 12 modules (with all 144 chapters)

Module 1. Introduction to ISO 42001 and AI Governance
Understand the foundation of AI management systems and how ISO 42001 creates value in services delivery.
12 chapters in this module
  1. What is AI governance
  2. Purpose of ISO 42001
  3. Linking AI ethics to project delivery
  4. Scope of AI management system
  5. Key roles in governance
  6. Benefits of certification
  7. Global adoption trends
  8. AI use case classification
  9. Framework alignment mapping
  10. Organizational context analysis
  11. Stakeholder identification
  12. Initial gap assessment
Module 2. Leadership and Commitment Requirements
Apply top-down governance principles to project-level execution and stakeholder alignment.
12 chapters in this module
  1. Defining leadership accountability
  2. Establishing AI policy ownership
  3. Resource allocation planning
  4. Integration with project charters
  5. Assigning governance roles
  6. Documentation standards
  7. Management review cadence
  8. Policy communication methods
  9. Training needs identification
  10. Compliance expectation setting
  11. Escalation pathways
  12. Decision tracking systems
Module 3. AI Risk Assessment Process
Build structured risk evaluation skills aligned with ISO 42001 control expectations.
12 chapters in this module
  1. Risk identification techniques
  2. Threat modeling for AI systems
  3. Bias detection frameworks
  4. Transparency risk factors
  5. Explainability thresholds
  6. Data provenance checks
  7. Impact severity scoring
  8. Likelihood assessment grids
  9. Risk treatment options
  10. Acceptance criteria definition
  11. Third-party risk integration
  12. Risk register maintenance
Module 4. Data Management for AI Systems
Implement data governance practices that satisfy ISO 42001 requirements.
12 chapters in this module
  1. Data quality benchmarks
  2. Collection legality checks
  3. Purpose limitation enforcement
  4. Data lifecycle stages
  5. Anonymization techniques
  6. Storage duration rules
  7. Access control models
  8. Data subject rights handling
  9. Vendor data handling
  10. Audit trail requirements
  11. Data integrity validation
  12. Cross-border data flow
Module 5. Model Development and Testing
Ensure model design adheres to ethical and technical standards in the framework.
12 chapters in this module
  1. Model documentation standards
  2. Version control protocols
  3. Testing strategy design
  4. Bias testing methods
  5. Accuracy threshold setting
  6. Robustness evaluation
  7. Interpretability techniques
  8. Performance monitoring
  9. Model drift detection
  10. Revalidation triggers
  11. Third-party model review
  12. Model retirement planning
Module 6. Human Oversight Mechanisms
Design review points where humans intervene in AI decision chains.
12 chapters in this module
  1. Critical decision thresholds
  2. Oversight role definition
  3. Review frequency planning
  4. Escalation triggers
  5. Decision logging
  6. Intervention capability
  7. Fallback process design
  8. Monitoring dashboard setup
  9. Alert response protocols
  10. Performance feedback loops
  11. User challenge mechanisms
  12. Audit readiness checks
Module 7. Transparency and Explainability
Meet stakeholder expectations for clarity in AI-driven outcomes.
12 chapters in this module
  1. User notification standards
  2. Decision rationale disclosure
  3. Explainability techniques
  4. Model summary reporting
  5. Stakeholder communication
  6. Documentation depth levels
  7. Third-party explainability
  8. Language accessibility
  9. Visual aid creation
  10. Audit trail clarity
  11. Public disclosure rules
  12. Vendor transparency
Module 8. System Security Controls
Implement protective measures for AI systems per ISO 42001 requirements.
12 chapters in this module
  1. Access control design
  2. Authentication protocols
  3. Encryption standards
  4. Network security
  5. Malware protection
  6. Intrusion detection
  7. Incident response
  8. Patch management
  9. Vulnerability scanning
  10. Penetration testing
  11. Security audit planning
  12. Third-party security
Module 9. Monitoring and Performance Evaluation
Track AI system behavior and effectiveness over time.
12 chapters in this module
  1. KPI definition
  2. Performance dashboards
  3. Drift detection
  4. Accuracy tracking
  5. Bias monitoring
  6. User feedback systems
  7. Complaint handling
  8. Incident logging
  9. Trend analysis
  10. Corrective action
  11. Reporting frequency
  12. Stakeholder updates
Module 10. Continuous Improvement Process
Embed iterative enhancement into AI governance workflows.
12 chapters in this module
  1. Feedback collection
  2. Root cause analysis
  3. Improvement planning
  4. Change control
  5. Update implementation
  6. Version tracking
  7. Lessons learned
  8. Knowledge sharing
  9. Training updates
  10. Policy revision
  11. Audit follow-up
  12. Maturity assessment
Module 11. Internal Audit Preparation
Prepare for compliance verification with confidence and completeness.
12 chapters in this module
  1. Audit scope definition
  2. Evidence collection
  3. Interview preparation
  4. Document organization
  5. Control testing
  6. Finding response
  7. Corrective action
  8. Follow-up timing
  9. Gap tracking
  10. Management review
  11. Audit communication
  12. Post-audit reporting
Module 12. Certification Readiness and Beyond
Finalize compliance posture and position for ongoing governance leadership.
12 chapters in this module
  1. Certification scope
  2. Gap closure
  3. External auditor prep
  4. Document finalization
  5. Stakeholder alignment
  6. Timeline planning
  7. Post-certification
  8. Surveillance audits
  9. Recertification
  10. Framework evolution
  11. Cross-standard alignment
  12. Leadership communication

How this maps to your situation

  • Starting an AI governance initiative
  • Preparing for internal audit
  • Responding to client compliance questions
  • Leading vendor evaluation with governance criteria

Before vs. after

Before
Coordinating projects without direct influence on AI governance decisions
After
Shaping framework choices, vendor picks, and technical direction through documented expertise

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 week over 6 weeks to complete all modules and apply templates.

If nothing changes
Continuing to execute without shaping the governance framework means recurring cycles of rework, diminished visibility, and missed opportunities to lead beyond task coordination.

How this compares to the alternatives

Unlike generic compliance overviews, this course delivers ISO 42001-specific implementation patterns with project leadership in mind, giving you direct leverage in technical decisions others treat as out of scope.

Frequently asked

Is this course technical or managerial?
It's designed for project leaders who need to understand both the framework requirements and how to apply them across teams, no coding required.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help with audits?
Yes, each module aligns with ISO 42001 clauses, and templates help you produce auditor-ready documentation.
$199 one-time. Approximately 3 hours per week over 6 weeks to complete all modules and apply templates..

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