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Deeper command of the ISO 42001 control framework

$199.00
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A tailored course, built for your situation

Deeper command of the ISO 42001 control framework

Master the first global AI management standard with precision and confidence

$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.
Surface-level understanding of AI governance frameworks limits influence with technical stakeholders

The situation this course is for

Marketing and brand leaders in tech services are increasingly expected to speak confidently about compliance frameworks, but most training stops at awareness. Without deeper command of the structure and controls, positioning lacks technical weight and stalls in technical reviews.

Who this is for

Senior marketing and brand leader in a global tech services firm, responsible for positioning around emerging technology offerings with credibility across technical and commercial audiences

Who this is not for

This course is not for junior marketers, general compliance staff, or engineers seeking implementation code. It is for strategic positioning leads who must translate technical standards into market advantage.

What you walk away with

  • Internalise the full structure and logic of ISO 42001, including control objectives and implementation expectations
  • Map Annex A controls to real AI use cases and client engagements with confidence
  • Anticipate auditor and client questions on documentation, risk assessment, and control implementation
  • Position technical offerings with precise, control-backed language that resonates with engineering buyers
  • Build reusable messaging frameworks tied directly to ISO 42001 compliance claims

The 12 modules (with all 144 chapters)

Module 1. Introduction to ISO 42001 and its strategic role in AI governance
Understand why ISO 42001 is the first globally recognised standard for AI management systems and how it creates market differentiation.
12 chapters in this module
  1. What ISO 42001 certifies
  2. Difference from ISO 27001 and ISO 38500
  3. Core principles of AI governance
  4. How certification creates trust
  5. Structure of the standard
  6. Annex A overview
  7. Organisational context definition
  8. Leadership commitment requirements
  9. Role of risk assessments
  10. Documentation expectations
  11. Internal audit obligations
  12. Continuous improvement cycle
Module 2. Understanding organisational context and leadership obligations
Learn how to define and document organisational context and leadership responsibilities under Clause 5.
12 chapters in this module
  1. Defining scope accurately
  2. Identifying interested parties
  3. Determining external influences
  4. Assessing internal risks
  5. Documenting leadership roles
  6. Assigning accountability
  7. Establishing policy frameworks
  8. Setting objectives
  9. Linking to business goals
  10. Reviewing performance metrics
  11. Ensuring resource allocation
  12. Demonstrating commitment
Module 3. Risk assessment and treatment planning
Master the methodology for conducting AI-specific risk assessments and developing treatment plans aligned with ISO 42001.
12 chapters in this module
  1. Defining risk criteria
  2. Scoping AI systems
  3. Identifying threats
  4. Analysing vulnerabilities
  5. Assessing impact levels
  6. Calculating risk ratings
  7. Selecting treatment options
  8. Avoiding risk altogether
  9. Transferring risk
  10. Mitigating with controls
  11. Accepting residual risk
  12. Documenting decisions
Module 4. AI system documentation and lifecycle management
Build comprehensive documentation for AI systems across development, deployment, and operation.
12 chapters in this module
  1. Defining system boundaries
  2. Describing data flows
  3. Specifying model types
  4. Recording training data sources
  5. Documenting testing procedures
  6. Version control practices
  7. Change management process
  8. Deployment validation steps
  9. Monitoring requirements
  10. Incident logging protocol
  11. Decommissioning checklist
  12. Archival rules
Module 5. Data, content, and output transparency
Ensure compliance with controls related to data provenance, content integrity, and output explainability.
12 chapters in this module
  1. Data quality assurance
  2. Content authenticity checks
  3. Output labelling standards
  4. Explainability requirements
  5. Bias detection methods
  6. Fairness evaluation
  7. Traceability of decisions
  8. Human oversight points
  9. Alerting thresholds
  10. Feedback mechanisms
  11. Correction loops
  12. Audit trail design
Module 6. Human oversight and intervention capabilities
Implement effective human oversight mechanisms for AI systems as required by ISO 42001 controls.
12 chapters in this module
  1. Defining intervention triggers
  2. Setting escalation paths
  3. Training oversight staff
  4. Designing alert systems
  5. Establishing review frequency
  6. Documenting intervention logs
  7. Measuring effectiveness
  8. Updating response protocols
  9. Integrating with SOC teams
  10. Aligning with incident response
  11. Testing readiness
  12. Reporting outcomes
Module 7. Accuracy, reliability, and performance monitoring
Ensure AI systems maintain required levels of accuracy and reliability through structured monitoring.
12 chapters in this module
  1. Setting performance KPIs
  2. Defining accuracy thresholds
  3. Monitoring drift patterns
  4. Calibrating models
  5. Validating outputs
  6. Testing edge cases
  7. Logging anomalies
  8. Triggering retraining
  9. Updating validation rules
  10. Reporting deviations
  11. Ensuring consistency
  12. Maintaining benchmarks
Module 8. Security and cybersecurity integration
Align AI system security with broader organisational cybersecurity frameworks and ISO 42001 requirements.
12 chapters in this module
  1. Integrating with ISO 27001
  2. Protecting training data
  3. Securing model weights
  4. Hardening deployment environments
  5. Access control design
  6. Authentication methods
  7. Encryption standards
  8. Network segmentation
  9. Threat modelling
  10. Penetration testing
  11. Incident response linkage
  12. Compliance verification
Module 9. Vendor and third-party management
Apply ISO 42001 controls to third-party AI solutions and managed services.
12 chapters in this module
  1. Assessing vendor compliance
  2. Defining contractual obligations
  3. Reviewing audit reports
  4. Evaluating SOC 2
  5. Validating ISO 27001
  6. Monitoring ongoing performance
  7. Managing subcontractors
  8. Enforcing transparency
  9. Requiring documentation
  10. Conducting joint testing
  11. Handling disputes
  12. Termination conditions
Module 10. Internal audit and compliance verification
Prepare for and lead internal audits of AI management systems in line with ISO 42001 requirements.
12 chapters in this module
  1. Planning audit scope
  2. Scheduling review cycles
  3. Selecting auditors
  4. Developing checklists
  5. Interviewing stakeholders
  6. Reviewing evidence
  7. Assessing control effectiveness
  8. Identifying gaps
  9. Reporting findings
  10. Tracking remediation
  11. Verifying closure
  12. Preparing for recertification
Module 11. Continuous improvement and management review
Implement mechanisms for ongoing improvement of AI governance processes.
12 chapters in this module
  1. Collecting feedback
  2. Analysing incidents
  3. Reviewing audit results
  4. Updating risk registers
  5. Adjusting controls
  6. Revising documentation
  7. Measuring maturity
  8. Benchmarking performance
  9. Reporting to leadership
  10. Securing resources
  11. Planning updates
  12. Driving cultural change
Module 12. Positioning ISO 42001 for market differentiation
Translate technical compliance into compelling, differentiated market narratives.
12 chapters in this module
  1. Identifying buyer concerns
  2. Linking controls to benefits
  3. Creating proof points
  4. Developing case studies
  5. Training sales teams
  6. Building pitch decks
  7. Responding to RFPs
  8. Differentiating from competitors
  9. Highlighting audit readiness
  10. Showcasing governance maturity
  11. Leveraging certification logos
  12. Sustaining messaging over time

How this maps to your situation

  • When launching new AI-enabled services
  • During client due diligence cycles
  • Preparing for internal audits
  • Engaging with compliance-conscious buyers

Before vs. after

Before
Referencing ISO 42001 at a high level without full command of its structure or control logic.
After
Commanding the standard with precision, able to map controls to real use cases and shape credible, technical narratives.

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 allowing completion over 4, 6 weeks.

If nothing changes
Continuing to position without deep framework knowledge risks credibility with technical buyers and missed opportunities in compliance-driven procurement cycles.

How this compares to the alternatives

Unlike generic AI governance overviews, this course delivers structured, clause-by-clause mastery of ISO 42001 with applied marketing context, making compliance knowledge directly usable in positioning and client engagement.

Frequently asked

Who is this course designed for?
It’s for senior marketing, brand, and strategy leads in tech services who need to speak with authority about AI governance standards like ISO 42001.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me in client conversations?
Yes, each module includes real-world examples and templates you can adapt for proposals, RFPs, and positioning documents.
$199 one-time. Approximately 3 hours per module, with self-paced access allowing completion over 4, 6 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