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Deeper command of the ISO 42001 AI management framework

$199.00
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A tailored course, built for your situation

Deeper command of the ISO 42001 AI management framework

Master the structure, controls, and implementation logic behind ISO 42001 to lead deployments 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.
Frustration with fragmented AI governance rollouts that lack consistency or technical grounding

The situation this course is for

Teams applying ISO 42001 often struggle to connect abstract controls to real system design, leading to rework, audit gaps, and misaligned expectations across engineering and compliance functions.

Who this is for

Technical leader responsible for translating AI governance standards into system architecture and team execution

Who this is not for

Individuals seeking introductory overviews of AI ethics or high-level compliance summaries without technical depth

What you walk away with

  • Full command of ISO 42001 control objectives and their implementation pathways in AI systems
  • Ability to map ISO 42001 requirements directly to architecture patterns and code-level controls
  • Confidence to lead internal ISO 42001 assessments and prepare for external audits
  • Production of repeatable, organisation-specific implementation playbooks
  • Stronger influence on AI system design decisions across engineering teams

The 12 modules (with all 144 chapters)

Module 1. Introduction to ISO 42001 and the AI management system
Establish foundational knowledge of ISO 42001's purpose, scope, and integration with technical delivery. Understand how AI management systems differ from traditional IT governance.
12 chapters in this module
  1. What ISO 42001 solves in AI development
  2. Core components of an AI management system
  3. Relationship to ISO IEC 27001 and other standards
  4. Key roles in ISO 42001 implementation
  5. AI lifecycle coverage under the standard
  6. How certification bodies assess compliance
  7. Common misconceptions about scope
  8. Integrating ISO 42001 with DevOps workflows
  9. Role of documentation in audit readiness
  10. Distinguishing AI risk from general IT risk
  11. Mapping AI governance to business outcomes
  12. First steps after standard adoption
Module 2. Leadership and organisational context
Learn how to establish leadership accountability, define organisational boundaries, and align AI governance with business strategy.
12 chapters in this module
  1. Defining organisational context for AI
  2. Identifying internal and external stakeholders
  3. Setting leadership intent statements
  4. Establishing AI governance policy
  5. Assigning roles and responsibilities
  6. Creating accountability frameworks
  7. Linking AI goals to business strategy
  8. Managing third-party AI dependencies
  9. Documenting decision authority
  10. Handling AI use case approvals
  11. Capturing AI risk appetite
  12. Maintaining leadership engagement
Module 3. AI risk assessment and treatment planning
Develop structured approaches to identifying, evaluating, and mitigating AI-specific risks using ISO 42001 control logic.
12 chapters in this module
  1. AI-specific risk identification methods
  2. Categorising AI model risks by impact
  3. Establishing risk evaluation criteria
  4. Using risk matrices for prioritisation
  5. Designing technical controls for AI models
  6. Selecting appropriate risk treatment options
  7. Documenting risk treatment plans
  8. Integrating with existing risk registers
  9. Validating control effectiveness
  10. Updating risk assessments over time
  11. Handling model drift and feedback loops
  12. Third-party model risk considerations
Module 4. Control implementation for AI systems
Translate ISO 42001 controls into concrete technical and procedural requirements for AI development and deployment.
12 chapters in this module
  1. Mapping Clause 8 controls to AI workflows
  2. Data quality controls for training sets
  3. Model development documentation
  4. Transparency and explainability requirements
  5. Bias detection and mitigation strategies
  6. Human oversight mechanisms
  7. Performance monitoring controls
  8. Versioning and change control for models
  9. Security controls for model endpoints
  10. Incident response planning for AI failures
  11. Model retirement and decommissioning
  12. Audit trail requirements
Module 5. Documentation and audit readiness
Produce comprehensive, auditor-friendly documentation packages that demonstrate compliance and reduce review cycles.
12 chapters in this module
  1. Required documents under ISO 42001
  2. Creating a Statement of Applicability
  3. Maintaining the AI control register
  4. Documenting model impact assessments
  5. Recording model validation results
  6. Tracking model monitoring outputs
  7. Preparing for internal audits
  8. Responding to auditor queries
  9. Version control for AI documentation
  10. Automating documentation workflows
  11. Storing records securely
  12. Preparing for certification audits
Module 6. Internal audit and continual improvement
Build capacity to conduct internal audits and drive ongoing improvements in AI governance maturity.
12 chapters in this module
  1. Planning the internal audit schedule
  2. Selecting audit criteria
  3. Conducting audit interviews
  4. Gathering audit evidence
  5. Reporting audit findings
  6. Tracking corrective actions
  7. Analysing audit trends
  8. Measuring AI governance performance
  9. Setting improvement objectives
  10. Updating controls based on audit results
  11. Maintaining audit independence
  12. Scaling audit processes across teams
Module 7. Stakeholder communication and transparency
Design effective communication strategies for internal and external stakeholders on AI governance practices.
12 chapters in this module
  1. Identifying AI governance audiences
  2. Creating external transparency reports
  3. Internal stakeholder briefing templates
  4. Public-facing AI disclosures
  5. Handling regulator inquiries
  6. Managing vendor AI governance
  7. Training non-technical stakeholders
  8. Communicating model limitations
  9. Reporting bias assessments publicly
  10. Handling media inquiries on AI
  11. Establishing feedback channels
  12. Documenting public communication
Module 8. Integration with existing governance frameworks
Align ISO 42001 with other standards such as ISO 27001, SOC 2, and NIST AI RMF.
12 chapters in this module
  1. Mapping ISO 42001 to ISO 27001
  2. Aligning with SOC 2 Trust Services Criteria
  3. Integrating NIST AI RMF controls
  4. COBIT the current cycle integration points
  5. GDPR compliance synergies
  6. Linking to enterprise risk management
  7. Avoiding duplication across frameworks
  8. Consolidating control assessments
  9. Cross-framework audit planning
  10. Single control register design
  11. Unified reporting to leadership
  12. Staff training across standards
Module 9. AI governance in agile environments
Adapt ISO 42001 practices to fast-moving development cycles and iterative delivery models.
12 chapters in this module
  1. Embedding controls in sprint planning
  2. Automated compliance checks
  3. Lightweight documentation patterns
  4. Model validation in CI/CD
  5. Tracking model lineage
  6. Managing technical debt in AI
  7. Handling urgent production fixes
  8. Balancing speed and compliance
  9. Sprint review governance checkpoints
  10. Backlog refinement with risk input
  11. Retrospective integration
  12. Scaling governance across squads
Module 10. Third-party and supply chain governance
Extend ISO 42001 principles to vendor-managed AI systems and outsourced development.
12 chapters in this module
  1. Assessing vendor ISO 42001 readiness
  2. Contractual clauses for AI compliance
  3. Vendor audit rights
  4. Monitoring third-party model updates
  5. Ensuring vendor documentation standards
  6. Handling data processing agreements
  7. Managing open-source AI components
  8. Evaluating pre-trained model risks
  9. Vendor incident response coordination
  10. Exit strategies for AI vendors
  11. Transition planning between providers
  12. Maintaining oversight without direct control
Module 11. Scaling AI governance across the organisation
Design repeatable processes and enablement programs to expand AI governance maturity enterprise-wide.
12 chapters in this module
  1. Creating centre of excellence models
  2. Developing internal training programs
  3. Standardising AI onboarding
  4. Building governance tooling
  5. Tracking AI inventory
  6. Establishing cross-functional forums
  7. Scaling playbook usage
  8. Mentoring junior practitioners
  9. Measuring programme effectiveness
  10. Adjusting for organisational size
  11. Adapting to regulatory changes
  12. Sharing best practices across units
Module 12. Certification and external assessment readiness
Prepare for formal ISO 42001 certification audits with confidence and reduce remediation cycles.
12 chapters in this module
  1. Selecting a certification body
  2. Preparing for Stage 1 audit
  3. Conducting pre-certification gap analysis
  4. Assembling evidence packages
  5. Rehearsing auditor interviews
  6. Addressing non-conformities
  7. Maintaining certification over time
  8. Handling surveillance audits
  9. Updating documentation post-audit
  10. Leveraging certification for business value
  11. Publicising certification success
  12. Planning recertification cycles

How this maps to your situation

  • Leading ISO 42001 implementation in a technical role
  • Aligning AI development with compliance requirements
  • Preparing for internal or external audit
  • Scaling AI governance across multiple teams

Before vs. after

Before
Applying ISO 42001 controls inconsistently, reacting to audit demands, struggling to connect governance with technical execution
After
Leading structured AI governance deployments, producing audit-ready documentation, and influencing system design with 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 3 hours per module, with self-paced access and downloadable resources for just-in-time reference.

If nothing changes
Continuing with ad hoc AI governance increases the likelihood of audit findings, rework, and misalignment between engineering and compliance teams, slowing down delivery and raising operational risk.

How this compares to the alternatives

Unlike generic compliance overviews or vendor-specific training, this course provides deep, technical mastery of ISO 42001 with implementation-grade detail tailored to practitioners leading real-world deployments.

Frequently asked

Who is this course designed for?
Technical leaders responsible for implementing or overseeing AI governance frameworks, particularly those preparing for ISO 42001 adoption or certification.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help with actual certification?
Yes, the course covers all requirements needed to prepare for ISO 42001 certification audits and includes templates used in successful assessments.
$199 one-time. Approximately 3 hours per module, with self-paced access and downloadable resources for just-in-time reference..

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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