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Go-To Practitioner for AI Governance with ISO 42001

$199.00
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A tailored course, built for your situation

Go-To Practitioner for AI Governance with ISO 42001

Become the internal reference on AI management systems as demand grows

$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

Mid-level security and compliance practitioner at a global services firm, working at the intersection of SOC 2, ISO standards, and emerging AI governance mandates

Who this is not for

Executives looking for high-level overviews or consultants seeking certification exam prep

What you walk away with

  • Lead ISO 42001 scoping sessions with confidence
  • Own documentation structure and control mapping for AI systems
  • Serve as cross-functional reference across security, audit, and risk teams
  • Accelerate internal alignment using repeatable assessment patterns
  • Anticipate auditor expectations with real-world SoA examples

The 12 modules (with all 144 chapters)

Module 1. Foundations of ISO 42001 in AI Governance
Establish the core principles of AI management systems and how they differ from traditional governance frameworks.
12 chapters in this module
  1. Defining AI systems in context
  2. Overview of ISO 42001 scope
  3. Key roles in AI governance
  4. Risk-based thinking in AI
  5. Legal and ethical drivers
  6. Mapping to SOC 2 and ISO 27001
  7. Organizational context setup
  8. Leadership expectations
  9. Stakeholder identification
  10. AI-specific privacy concerns
  11. Transparency obligations
  12. Accountability mechanisms
Module 2. Context and Leadership Commitment
Learn how to define organizational context and secure leadership buy-in for AI governance initiatives.
12 chapters in this module
  1. Understanding external pressures
  2. Internal capability audit
  3. Defining leadership roles
  4. Policy drafting basics
  5. Securing executive sponsorship
  6. Communication planning
  7. Establishing governance scope
  8. Risk appetite alignment
  9. AI use-case inventory
  10. Stakeholder engagement model
  11. Board-level expectations
  12. Documentation standards
Module 3. AI Risk Assessment Framework
Build a repeatable methodology for identifying, assessing, and prioritizing risks in AI systems.
12 chapters in this module
  1. Threat modeling for AI
  2. Bias detection patterns
  3. Data quality evaluation
  4. Model drift monitoring
  5. Human oversight triggers
  6. Transparency scoring
  7. Explainability requirements
  8. Third-party vendor risks
  9. Supply chain oversight
  10. Incident response prep
  11. Audit trail sufficiency
  12. Risk treatment options
Module 4. Control Mapping to ISO 42001
Translate ISO 42001 clauses into actionable controls tailored to your organization's AI landscape.
12 chapters in this module
  1. Clause 4 context mapping
  2. Clause 5 leadership alignment
  3. Clause 6 risk planning
  4. Clause 7 support functions
  5. Clause 8 operational controls
  6. Clause 9 performance eval
  7. Clause 10 improvement loop
  8. Cross-walk to NIST AI
  9. Integration with SOC 2
  10. Mapping to COBIT
  11. Control ownership model
  12. Documentation templates
Module 5. Operational Controls for AI Systems
Implement day-to-day controls that ensure ongoing compliance and safety of deployed AI models.
12 chapters in this module
  1. Model validation steps
  2. Version control setup
  3. Performance benchmarks
  4. Monitoring thresholds
  5. Alerting workflows
  6. Human-in-the-loop design
  7. Fallback procedures
  8. Access control rules
  9. Logging standards
  10. Update approval process
  11. Retraining triggers
  12. Decommissioning protocol
Module 6. Documentation and Audit Readiness
Create comprehensive, auditor-friendly documentation packages for ISO 42001 compliance.
12 chapters in this module
  1. SoA structure
  2. Policies and procedures
  3. Control narratives
  4. Evidence collection
  5. Gap tracking
  6. Remediation logging
  7. Version control
  8. Audit trail setup
  9. Internal review process
  10. External auditor prep
  11. Response templates
  12. Follow-up handling
Module 7. Third-Party and Vendor Oversight
Manage AI risks introduced through external vendors and managed services.
12 chapters in this module
  1. Vendor selection criteria
  2. Contractual clauses
  3. Due diligence steps
  4. Assessment questionnaires
  5. Onboarding checks
  6. Ongoing monitoring
  7. Right-to-audit terms
  8. Compliance verification
  9. Incident coordination
  10. Exit strategies
  11. Subprocessor oversight
  12. Performance penalties
Module 8. Human Oversight and Interpretability
Design systems that maintain meaningful human control and model explainability.
12 chapters in this module
  1. Defining oversight level
  2. Role assignment
  3. Training requirements
  4. Decision escalation
  5. Model confidence thresholds
  6. Uncertainty handling
  7. Interpretability techniques
  8. Bias correction steps
  9. Fallback workflows
  10. Audit logging
  11. User feedback loops
  12. Escalation documentation
Module 9. Performance Monitoring and Reporting
Set up continuous monitoring and executive reporting for AI system health and compliance.
12 chapters in this module
  1. KPI selection
  2. Dashboard design
  3. Automated alerts
  4. Executive summaries
  5. Incident reporting
  6. Trend analysis
  7. Model drift detection
  8. Bias tracking
  9. Compliance dashboards
  10. Stakeholder updates
  11. Regulatory alignment
  12. Remediation tracking
Module 10. Internal Audit and Improvement
Conduct effective internal audits and drive continuous improvement in AI governance.
12 chapters in this module
  1. Audit planning
  2. Checklist development
  3. Interview techniques
  4. Evidence review
  5. Finding classification
  6. Root cause analysis
  7. Remediation plans
  8. Follow-up process
  9. Management review
  10. Corrective actions
  11. Process refinement
  12. Knowledge transfer
Module 11. Integration with Existing Frameworks
Align ISO 42001 efforts with existing compliance and security programs like SOC 2 and ISO 27001.
12 chapters in this module
  1. Control overlap analysis
  2. Documentation reuse
  3. Audit streamlining
  4. Team coordination
  5. Policy harmonization
  6. Training integration
  7. Tooling alignment
  8. Reporting consolidation
  9. Gap remediation
  10. Cross-functional workflows
  11. Change management
  12. Stakeholder comms
Module 12. Scaling Governance Across Use Cases
Extend governance practices to multiple AI applications while maintaining consistency.
12 chapters in this module
  1. Use-case prioritization
  2. Tiered control model
  3. Automated enforcement
  4. Central oversight
  5. Local adaptation
  6. Knowledge sharing
  7. Template reuse
  8. Lessons learned
  9. Maturity scaling
  10. Resource allocation
  11. Training expansion
  12. Governance culture

How this maps to your situation

  • When rolling out the first AI system
  • After leadership requests governance framework
  • During audit preparation
  • When onboarding AI vendors

Before vs. after

Before
Relied on general security principles and reactive oversight for AI deployments
After
Lead structured ISO 42001 implementations with stakeholder trust and audit confidence

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 2 hours per week over 12 weeks

How this compares to the alternatives

Unlike generic compliance courses, this program focuses on actionable ISO 42001 implementation patterns used in live AI deployments at global services firms.

Frequently asked

Is this course focused on certification exam prep?
No, this course is designed for practical implementation, not exam preparation. It targets practitioners who need to deploy and govern AI systems using ISO 42001 in real-world environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me lead governance initiatives without formal authority?
Yes, the course emphasizes documentation standards, cross-functional alignment patterns, and stakeholder communication techniques that establish credibility and influence.
$199 one-time. Approximately 2 hours per week over 12 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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