A tailored course, built for your situation
Mastering ISO 42001 for Infrastructure Analysts in Regulated Enterprises
Build defensible AI governance systems with full command of the ISO 42001 framework
$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.
Struggling to interpret ISO 42001 controls in practice?
The situation this course is for
Many infrastructure analysts rely on consultants to map ISO 42001 requirements, leading to delays, misalignment, and repeated review cycles. Without deep internal knowledge, even minor control updates require escalation.
Who this is for
Infrastructure Analysts in regulated enterprises implementing AI governance frameworks
Who this is not for
Executives looking for board-level summaries or non-technical overviews
What you walk away with
- Full command of the ISO 42001 control structure and mapping logic
- Ability to draft and validate SoA (Statement of Applicability) documents independently
- Confidence interpreting Annex A controls in real infrastructure contexts
- Mastery of audit-ready documentation workflows
- Skills to lead internal ISO 42001 implementation without external consultants
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and AI Governance
Understand the purpose, scope, and governance model of ISO 42001 within regulated infrastructure environments.
12 chapters in this module
- What ISO 42001 governs
- AI risks in enterprise infrastructure
- Framework alignment with UK GDPR
- Differences from ISO 27001
- Core structure of the standard
- Roles in implementation
- Regulatory drivers in the UK
- How auditors assess compliance
- Mapping to internal policies
- Baseline assessment checklist
- Vendor AI use cases
- First steps in deployment
Module 2. Clause 4 Context and Organizational Readiness
Define organizational context and assess readiness for ISO 42001 adoption.
12 chapters in this module
- Identifying AI stakeholders
- Internal vs external context
- Scope definition for AI systems
- Legal and regulatory context
- Risk appetite alignment
- Governance committee setup
- Resource planning
- Leadership engagement
- Assessing infrastructure maturity
- Gap analysis basics
- Baseline documentation
- Readiness scoring
Module 3. Clause 5 Leadership and Commitment
Secure leadership buy-in and establish clear accountability for AI governance.
12 chapters in this module
- Leadership roles in AI governance
- Policy development
- Commitment statements
- Accountability frameworks
- Oversight mechanisms
- Resource allocation
- Internal communication plan
- Policy review cycles
- Training requirements
- Documentation standards
- Escalation paths
- Compliance reporting
Module 4. Clause 6 Planning AI Governance Activities
Develop a risk-based action plan for AI system compliance.
12 chapters in this module
- Risk assessment methodology
- Identifying AI system risks
- Control selection process
- Action planning
- Timeline development
- Ownership assignment
- Resource mapping
- Dependency analysis
- Compliance milestones
- Stakeholder alignment
- Budget forecasting
- Contingency planning
Module 5. Clause 7 Support and Awareness
Build organizational support and maintain awareness across teams.
12 chapters in this module
- Training needs analysis
- Awareness campaign design
- Internal communication tools
- Role-specific training
- Documentation access
- Helpdesk integration
- Feedback mechanisms
- Training completion tracking
- Refresher cycles
- Policy acknowledgment
- Support workflows
- Escalation training
Module 6. Clause 8 Operational Controls for AI Systems
Implement controls to manage AI system risks across the lifecycle.
12 chapters in this module
- System development controls
- Data quality assurance
- Model validation steps
- Deployment checklists
- Monitoring for drift
- Incident response
- Access control rules
- Bias detection routines
- Transparency documentation
- Version control
- Patch management
- Decommissioning steps
Module 7. Annex A Control Interpretation
Interpret and apply each of the 36 Annex A controls to real infrastructure.
12 chapters in this module
- A.1 Accountability framework
- A.2 AI policy management
- A.3 Risk assessment process
- A.4 Due diligence for vendors
- A.5 System documentation
- A.6 Human oversight design
- A.7 Performance monitoring
- A.8 Incident handling
- A.9 Bias detection
- A.10 Accuracy controls
- A.11 Transparency measures
- A.12 Feedback mechanisms
Module 8. Clause 9 Performance Evaluation
Monitor and evaluate AI governance effectiveness.
12 chapters in this module
- KPIs for AI systems
- Audit planning
- Internal review cycles
- Gap tracking
- Control effectiveness
- Performance dashboards
- Reporting to leadership
- Audit preparation
- Evidence collection
- Compliance verification
- Corrective action plans
- Continuous improvement
Module 9. Clause 10 Improvement and Corrective Action
Establish processes to improve AI governance over time.
12 chapters in this module
- Nonconformance tracking
- Root cause analysis
- Corrective action workflows
- Preventive actions
- Change management
- Version control
- Stakeholder feedback
- Lessons learned
- Process updates
- Documentation refresh
- Audit follow-up
- Continuous review
Module 10. Building the Statement of Applicability (SoA)
Create a complete, auditable Statement of Applicability.
12 chapters in this module
- Purpose of the SoA
- Control applicability
- Justification templates
- Exclusion rationale
- Evidence mapping
- Stakeholder review
- Version control
- Approval workflow
- Audit readiness
- Update triggers
- Cross-reference with policies
- SoA maintenance
Module 11. Preparing for Internal and External Audits
Gather and organize evidence for compliance reviews.
12 chapters in this module
- Audit scope definition
- Evidence collection
- Documentation structure
- Interview preparation
- Findings response
- Corrective action plans
- Follow-up timelines
- Auditor communication
- Compliance dashboards
- Audit report review
- Stakeholder briefing
- Post-audit actions
Module 12. Sustaining AI Governance Over Time
Ensure long-term compliance and framework evolution.
12 chapters in this module
- Review cycle planning
- Policy refresh
- Control updates
- Technology changes
- Vendor changes
- Regulatory updates
- Stakeholder engagement
- Training refresh
- Lessons learned integration
- Version control
- Leadership reporting
- Continuous improvement
How this maps to your situation
- Onboarding new AI systems
- Preparing for ISO 42001 audit
- Responding to regulator questions
- Leading internal governance
Before vs. after
Before
Relying on external consultants to interpret ISO 42001 controls and draft documentation
After
Independently leading ISO 42001 implementation, audits, and stakeholder alignment
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 8-10 hours of focused learning, with modular access for just-in-time use during audits or implementations.
If nothing changes
Continuing to depend on consultants slows decision-making, increases costs, and limits ownership of critical AI governance outcomes.
How this compares to the alternatives
Unlike generic compliance webinars or certification prep courses, this program delivers role-specific, implementation-ready knowledge focused exclusively on ISO 42001 deployment in infrastructure environments.
Frequently asked
Do I need prior experience with AI governance?
No. The course starts with foundational concepts and builds to advanced implementation.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use this for team training?
Yes. The implementation playbook is designed for team adoption and knowledge transfer.
$199 one-time. Approximately 8-10 hours of focused learning, with modular access for just-in-time use during audits or implementations..
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