A tailored course, built for your situation
Direct influence on AI governance decisions with ISO 42001
Master the framework shaping responsible AI adoption across enterprises
$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
Senior IC at a data and AI platform company driving architectural input on governance-ready AI systems
Who this is not for
Entry-level contributors, auditors focused only on compliance checklists, or practitioners without influence on design or vendor selection
What you walk away with
- Lead AI governance discussions with framework-backed authority
- Shape vendor selection criteria using ISO 42001 control domains
- Anticipate peer review feedback with pre-emptive documentation patterns
- Translate ethical AI principles into auditable design controls
- Become the internal reference for governance that enables speed
The 12 modules (with all 144 chapters)
Module 1. ISO 42001 foundation in AI governance
Understand how ISO 42001 defines responsible AI governance and its role in enterprise trust and adoption. Learn the structure of the standard and how it maps to real-world AI system lifecycles.
12 chapters in this module
- Introduction to ISO 42001
- AI governance vs. traditional compliance
- Scope and applicability of AI management systems
- Core principles of ethical AI
- Relationship to NIST AI RMF
- Mapping ISO 42001 to technical architecture
- Organizational commitment requirements
- Leadership and governance structure
- Accountability frameworks
- Documentation expectations
- Internal audit readiness
- Continuous improvement cycle
Module 2. Designing AI systems with ISO 42001 controls
Integrate ISO 42001 requirements into AI system design, ensuring governance is embedded from the start. Focus on data provenance, model transparency, and monitoring.
12 chapters in this module
- Controlled data lineage design
- Bias assessment protocols
- Model explainability standards
- Human oversight mechanisms
- Risk-based categorisation of AI systems
- Design documentation templates
- Versioning for governance
- Deployment gate criteria
- Monitoring and logging standards
- Incident response workflows
- Retraining safeguards
- Decommissioning controls
Module 3. Vendor selection with ISO 42001 alignment
Evaluate third-party AI tools and platforms using ISO 42001 as a benchmark. Develop selection criteria that ensure governance compatibility and long-term compliance.
12 chapters in this module
- Vendor compliance self-assessment
- Evaluating AI management systems
- Third-party audit rights
- Contractual control language
- Data processing agreements
- Model transparency requirements
- Support and maintenance terms
- Security and access controls
- Change management expectations
- Exit strategy planning
- Penalty clauses for non-compliance
- Ongoing monitoring obligations
Module 4. Internal peer review with governance backing
Lead technical peer reviews using ISO 42001 as a foundation. Build credibility and consistency in feedback by anchoring on internationally recognized controls.
12 chapters in this module
- Structuring governance-focused reviews
- Review checklist development
- Identifying control gaps early
- Documenting rationale for decisions
- Escalation pathways
- Cross-functional alignment
- Feedback integration techniques
- Version-controlled review logs
- Benchmarking against ISO 42001
- Tracking resolution of findings
- Automating evidence collection
- Improving review throughput
Module 5. Strategic influence on AI roadmap decisions
Position yourself as a key voice in shaping the company's AI strategy by aligning roadmap items with ISO 42001 compliance objectives and enterprise risk appetite.
12 chapters in this module
- Linking roadmap to control domains
- Risk appetite statements
- Compliance-driven prioritization
- Stakeholder communication plans
- Executive briefing templates
- Scenario planning under ISO 42001
- Resource allocation models
- Milestone alignment
- Budget justification frameworks
- KPIs for responsible AI
- Benchmarking against peers
- Long-term governance vision
Module 6. Building auditable governance artefacts
Create clear, repeatable documentation that satisfies internal and external audits. Focus on clarity, completeness, and alignment with ISO 42001 requirements.
12 chapters in this module
- Policy drafting for AI systems
- Control mapping exercises
- Evidence collection strategies
- Audit trail design
- Document retention policies
- Version control setup
- Access control documentation
- Change logging standards
- Review and approval workflows
- Automated compliance checks
- Gap analysis reporting
- Remediation tracking
Module 7. Leading ISO 42001 implementation teams
Drive cross-functional alignment on ISO 42001 adoption. Develop leadership techniques for influencing without authority and managing competing priorities.
12 chapters in this module
- Team structure for governance rollout
- Stakeholder mapping
- Influence without authority
- Conflict resolution frameworks
- Change management strategies
- Training program design
- Communication cadence planning
- Progress tracking tools
- Dependency management
- Resource negotiation
- Leadership escalation paths
- Celebrating milestones
Module 8. Integrating ISO 42001 with development lifecycle
Embed ISO 42001 controls into CI/CD pipelines, sprint planning, and release management. Ensure governance scales with development velocity.
12 chapters in this module
- Sprint planning with controls
- Automated policy checks
- Pre-commit validation rules
- Pull request governance
- Release gate criteria
- Environment segregation policies
- Feature flag controls
- Testing coverage requirements
- Incident simulation drills
- Rollback procedures
- Post-mortem integration
- Developer training modules
Module 9. Managing AI risk assessments under ISO 42001
Conduct thorough risk assessments aligned with ISO 42001 requirements. Use structured methodologies to evaluate impact, likelihood, and mitigation effectiveness.
12 chapters in this module
- Risk identification techniques
- Threat modelling for AI systems
- Likelihood and impact scoring
- Control effectiveness evaluation
- Residual risk calculation
- Risk acceptance thresholds
- Board-level risk reporting
- Third-party risk assessments
- Supply chain risk factors
- Dynamic risk monitoring
- Scenario-based testing
- Risk register maintenance
Module 10. Training teams on AI governance principles
Equip developers, data scientists, and product managers with practical knowledge of ISO 42001. Build organization-wide competence in responsible AI.
12 chapters in this module
- Assessing team knowledge gaps
- Developing role-based training
- Interactive learning formats
- Hands-on workshops
- Knowledge validation quizzes
- Documentation standards training
- Ethical decision frameworks
- Case study discussions
- Feedback mechanisms
- Training refresh cycles
- Metrics for training success
- Executive engagement sessions
Module 11. Preparing for ISO 42001 certification audit
Get ready for external certification with a structured approach to documentation, evidence collection, and auditor engagement.
12 chapters in this module
- Audit readiness checklist
- Evidence compilation strategies
- Internal mock audits
- Auditor communication protocols
- Finding resolution workflow
- Management review preparation
- Corrective action plans
- Certification body selection
- Audit scope negotiation
- Post-audit follow-up
- Maintaining certification
- Continuous improvement planning
Module 12. Scaling AI governance across business units
Extend ISO 42001 practices beyond pilot teams to enterprise-wide adoption. Develop playbooks for consistent, scalable implementation.
12 chapters in this module
- Assessing organizational readiness
- Phased rollout planning
- Center of excellence design
- Governance model adaptation
- Local customization rules
- Central oversight mechanisms
- Reporting and dashboards
- Lessons learned sharing
- Cross-unit collaboration
- Adoption metrics tracking
- Feedback loop integration
- Future-state visioning
How this maps to your situation
- When leading design reviews for new AI features
- During vendor evaluation for machine learning tools
- When contributing to AI strategy discussions
- Preparing for internal or external compliance audits
Before vs. after
Before
Invited to peer reviews but lacking a structured framework to guide feedback
After
Regularly shaping AI governance decisions through ISO 42001-backed influence
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 12 weeks, with self-paced access.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to AI governance practitioners at technology-first organizations. It focuses on real-world decision-making influence rather than checklist compliance.
Frequently asked
Is this course technical or policy-focused?
It balances both, with practical guidance for engineers, architects, and governance leads on implementing ISO 42001 in real systems.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover NIST AI RMF as well?
Yes, the course includes crosswalks to NIST AI RMF and other relevant frameworks where they complement ISO 42001.
$199 one-time. Approximately 3 hours per week over 12 weeks, with self-paced access..
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