A tailored course, built for your situation
Deeper command of the ISO 42001 control framework
Master the structure, logic, and implementation levers behind AI management systems
$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 data science leader guiding AI governance and compliance initiatives in global services firms
Who this is not for
Individuals focused only on technical AI modeling without governance or compliance scope
What you walk away with
- Full internalisation of ISO 42001 control objectives and their sequencing logic
- Ability to explain each clause from first principles during client or internal reviews
- Confidence to lead control mapping sessions without external consultants
- Template-driven documentation that aligns with auditor expectations
- Strategic input on whether to extend ISO 42001 into adjacent risk domains
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and its governance role
Understand how ISO 42001 fits within AI governance ecosystems and why structured management systems are gaining regulatory attention. Learn the standard’s scope, intent, and relationship to other frameworks like NIST AI 100-1 and EU AI Act alignment.
12 chapters in this module
- What ISO 42001 regulates
- Difference from ISO 27001
- Core principles of AI management
- Adoption drivers in services firms
- How it interacts with data laws
- Organizational roles defined
- Clause structure overview
- Mapping to internal policies
- Audit lifecycle stages
- Preparing for certification
- Common implementation errors
- How to read the standard
Module 2. Clause 4 Understanding organisational context
Master how to define internal and external factors that influence AI system deployment. Learn to document stakeholder expectations and scope boundaries with precision.
12 chapters in this module
- Identifying AI system context
- Stakeholder mapping technique
- External influences to note
- Internal drivers documentation
- Defining scope boundaries
- Exclusion justification rules
- Risk appetite linkage
- Legal environment scan
- Industry-specific factors
- Technology lifecycle stage
- Vendor ecosystem mapping
- Documentation standards
Module 3. Clause 5 Leadership and commitment
Learn how to demonstrate executive sponsorship and integrate AI governance into management routines. Build artefacts that show leadership engagement without overreach.
12 chapters in this module
- Leadership role definition
- Accountability mapping
- Policy endorsement proof
- Resource allocation records
- Management review cadence
- Roles and responsibilities
- Oversight committee design
- Escalation pathways
- Success metrics setting
- Internal communication plan
- Training obligation tracking
- Compliance culture signals
Module 4. Clause 6 Planning for AI management
Develop skills to identify risks and opportunities in AI deployment and build forward-looking plans that align with business goals.
12 chapters in this module
- Risk identification framework
- Opportunity logging method
- Risk register structure
- Treatment planning
- Resource planning model
- Timeline development
- Dependency mapping
- Change control process
- Legal compliance check
- Third-party integration
- Impact assessment method
- Baseline performance setting
Module 5. Clause 7 Support functions and awareness
Implement reliable support systems for AI management, including competence tracking, awareness programs, and internal communication flows.
12 chapters in this module
- Competence assessment model
- Training program design
- Awareness campaign rollout
- Documentation control
- Internal communication plan
- Version tracking system
- Access control rules
- Retention policy setting
- Knowledge transfer method
- Onboarding integration
- Vendor training alignment
- Audit readiness check
Module 6. Clause 8 Operational control of AI systems
Operationalise AI lifecycle controls from development to decommissioning. Build repeatable processes for deployment, monitoring, and incident response.
12 chapters in this module
- Lifecycle phase definition
- Development controls
- Testing protocols
- Deployment checklists
- Monitoring requirements
- Incident response plan
- Feedback loop design
- Model retraining triggers
- Access management rules
- Data quality controls
- Bias detection frequency
- Decommissioning process
Module 7. Clause 9 Performance evaluation methods
Design and implement evaluation routines that measure AI system performance and compliance effectiveness over time.
12 chapters in this module
- Monitoring frequency rules
- KPI selection framework
- Audit scheduling logic
- Internal audit process
- Management review input
- Compliance checking method
- Performance review cycle
- Corrective action tracking
- Effectiveness measurement
- Trend analysis technique
- Benchmarking approach
- Reporting cadence design
Module 8. Clause 10 Improvement processes
Establish systematic improvement mechanisms that turn findings into actionable upgrades across AI systems and governance practices.
12 chapters in this module
- Nonconformity logging
- Root cause analysis method
- Corrective action workflow
- Preventive measure design
- Change implementation
- Verification of effectiveness
- Lessons learned capture
- Cross-project application
- Continuous improvement loop
- Feedback integration
- Process update triggers
- Improvement tracking system
Module 9. Control mapping across AI projects
Learn to map ISO 42001 controls to active AI initiatives, ensuring compliance is embedded, not bolted on.
12 chapters in this module
- Project intake process
- Control applicability check
- Mapping worksheet use
- Gap identification
- Mitigation planning
- Evidence collection
- Control ownership
- Cross-functional alignment
- Client reporting integration
- Audit trail setup
- Version control method
- Review cycle alignment
Module 10. Documentation architecture and playbook design
Build a living documentation system that survives team changes and supports repeatable compliance outcomes.
12 chapters in this module
- Playbook structure
- Document hierarchy
- Naming convention
- Storage location
- Access permissions
- Review cycle
- Version history
- Approval workflow
- Template library
- Cross-referencing method
- Audit navigation guide
- Living document rules
Module 11. Internal audit preparation and execution
Lead internal audits with confidence using standardised checklists, interview protocols, and finding documentation practices.
12 chapters in this module
- Audit scope definition
- Checklist creation
- Interview guide design
- Evidence collection method
- Finding classification
- Severity scoring
- Reporting format
- Action plan drafting
- Follow-up timing
- Audit independence
- Sampling technique
- Audit trail preservation
Module 12. Certification readiness and external audit
Prepare for third-party audits with documented evidence, rehearsed responses, and clear control demonstrations.
12 chapters in this module
- Certification body selection
- Application preparation
- Stage 1 audit readiness
- Stage 2 audit readiness
- Evidence binder assembly
- Interview preparation
- Common findings response
- Corrective action submission
- Certificate maintenance
- Surveillance audit prep
- Recertification planning
- Public disclosure rules
How this maps to your situation
- Leading AI governance in client-facing engagements
- Building internal AI compliance frameworks
- Preparing for ISO 42001 certification
- Responding to auditor or regulator questions
Before vs. after
Before
Working from partial knowledge of ISO 42001, relying on consultants or patchy documentation
After
Leading ISO 42001 implementation with authoritative command, guiding teams and clients confidently
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, designed to be completed alongside active projects.
If nothing changes
Continuing without structured mastery risks inconsistent implementation, repeated consultant dependency, and missed leadership opportunities in AI governance.
How this compares to the alternatives
Unlike generic compliance overviews or certification prep courses, this program is tailored to practitioners who lead AI governance in consulting environments, with real-world examples and implementation blueprints not available in public materials.
Frequently asked
Is this course suitable for non-technical leaders?
Yes, it is designed for technical and non-technical leaders alike, focusing on governance structure and control logic, not coding or model design.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover other frameworks like NIST or GDPR?
It references them where relevant but focuses exclusively on ISO 42001 to ensure depth of mastery.
$199 one-time. Approximately 3 hours per module, designed to be completed alongside active projects..
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