A tailored course, built for your situation
Deeper command of the ISO 42001 framework for AI governance
Build repeatable, auditable AI governance systems with 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.
Who this is for
Senior BI Specialist driving trusted data and governance outcomes in a regulated services environment
Who this is not for
Those looking for introductory AI or generic compliance content without standards alignment
What you walk away with
- Map ISO 42001 controls confidently to AI system lifecycles
- Produce auditable governance documentation with real-world examples
- Anticipate assessor questions and prepare evidence proactively
- Differentiate governance depth in stakeholder conversations
- Confidently lead internal alignment on AI risk controls
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and AI governance
Understand the global rise of AI governance standards and ISO 42001’s role in shaping trusted deployment. Learn how this standard differentiates from past frameworks and why it’s gaining rapid adoption across regulated sectors.
12 chapters in this module
- What ISO 42001 solves
- AI governance maturity levels
- Clause structure overview
- Relationship to ISO IEC 27001
- Organizational context mapping
- Stakeholder expectations
- AI risk classification
- Governance vs ethics distinction
- Certification roadmap
- Audit lifecycle timing
- Internal review cadence
- Scoping your AI system boundary
Module 2. Clause 4 context and scope definition
Define the boundaries and applicability of AI governance within your current BI and analytics environment. Use real templates to document scope and secure early alignment.
12 chapters in this module
- Defining organizational context
- Identifying external factors
- Internal capability assessment
- Regulatory overlap analysis
- AI inventory categorization
- System criticality tiers
- Scope exclusion justification
- Stakeholder role mapping
- Documentation standards
- Boundary approval process
- Change control triggers
- Version control setup
Module 3. Clause 5 leadership and commitment
Translate leadership commitment into documented governance posture. Align AI oversight with existing executive priorities in regulated environments.
12 chapters in this module
- Executive sponsorship model
- Policy intent drafting
- Oversight committee structure
- Accountability mapping
- Resource allocation plan
- Communication plan design
- Leadership review frequency
- Risk appetite alignment
- Tone from the top
- Reporting lines setup
- Escalation thresholds
- Performance metrics integration
Module 4. Clause 6 planning for AI risks
Build a structured risk assessment process tailored to AI systems, integrating with existing BI risk frameworks and audit cycles.
12 chapters in this module
- Risk assessment methodology
- Threat modeling AI components
- Bias detection strategy
- Data provenance tracking
- Model transparency requirements
- Accountability gap analysis
- Risk treatment options
- Residual risk evaluation
- Third-party vendor risks
- Incident likelihood scoring
- Impact severity matrix
- Risk register template
Module 5. Clause 7 support and resources
Establish governance enablement through documentation, training, and awareness programs that sustain long-term compliance.
12 chapters in this module
- Competency framework design
- Training program rollout
- Awareness campaign calendar
- Documentation hierarchy
- Version control standards
- Knowledge retention plan
- Internal audit coordination
- Tooling integration
- Vendor documentation review
- Stakeholder communication format
- Resource tracking dashboard
- Governance calendar sync
Module 6. Clause 8 operational controls
Implement technical and procedural controls across the AI lifecycle, from development to decommissioning.
12 chapters in this module
- Development lifecycle governance
- Model validation steps
- Testing environment controls
- Deployment approval workflow
- Monitoring threshold definition
- Anomaly detection setup
- Human-in-the-loop design
- Feedback loop integration
- Incident response plan
- Model drift detection
- Retraining triggers
- Decommissioning checklist
Module 7. Clause 9 performance evaluation
Design audit-ready performance reviews and internal assessments that satisfy ISO 42001 requirements and inform continuous improvement.
12 chapters in this module
- Internal audit schedule
- Control effectiveness review
- Compliance gap tracking
- Management review agenda
- Key performance indicators
- Corrective action process
- Trend analysis method
- Benchmarking approach
- Stakeholder feedback loop
- Audit trail maintenance
- Evidence package assembly
- Readiness checklist
Module 8. Clause 10 improvement mechanisms
Establish feedback-driven improvement cycles that strengthen governance resilience and adapt to evolving AI risks.
12 chapters in this module
- Nonconformity logging
- Root cause analysis
- Action plan ownership
- Follow-up verification
- Lessons learned capture
- Process refinement workflow
- Change request intake
- Version update coordination
- Stakeholder notification
- Archive policy
- Continuous monitoring design
- AI control evolution
Module 9. Documentation and evidence assembly
Create complete, consistent, and auditor-friendly documentation packages for ISO 42001 certification.
12 chapters in this module
- Document hierarchy design
- Control mapping table
- Statement of Applicability
- Evidence retention policy
- Cross-reference indexing
- Audit trail formatting
- Version comparison method
- Reviewer annotation setup
- Compliance matrix
- Gap tracking log
- External assessor prep
- Response template library
Module 10. Internal audit and self-assessment
Practice audit simulations and self-evaluation techniques to ensure readiness and reduce external audit surprises.
12 chapters in this module
- Audit planning
- Checklist development
- Evidence sampling
- Interview preparation
- Nonconformity classification
- Corrective action tracking
- Audit reporting format
- Follow-up timing
- Tool-assisted review
- Gap closure proof
- Stakeholder sign-off
- Audit closure
Module 11. External certification process
Navigate the steps from internal readiness to external certification with confidence and clarity.
12 chapters in this module
- Certification body selection
- Stage 1 audit prep
- Documentation submission
- On-site readiness
- Interview expectations
- Finding resolution
- Certification decision
- Surveillance audit timing
- Re-certification schedule
- Scope change process
- Public reporting
- Certificate maintenance
Module 12. Sustaining and scaling governance
Embed ISO 42001 practices into business-as-usual operations and scale them across new AI initiatives.
12 chapters in this module
- Governance playbook adoption
- Change management
- New project onboarding
- Cross-team alignment
- Training refresh cycle
- Tooling integration
- Metrics dashboard
- Executive reporting
- Lessons scaling
- Benchmarking against peers
- Innovation enablement
- Future standard anticipation
How this maps to your situation
- Preparing for ISO 42001 implementation
- Leading internal governance alignment
- Supporting audit or certification
- Scaling AI oversight across teams
Before vs. after
Before
Uncertain about how to structure AI governance to meet ISO 42001 requirements
After
Confident in designing, documenting, and justifying a governance framework that stands up to audit
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 3-4 hours per module, designed for steady progress alongside full-time work
How this compares to the alternatives
Unlike generic AI ethics courses or high-level compliance overviews, this program delivers clause-by-clause mastery of ISO 42001 with real-world templates and implementation logic tailored to data and BI practitioners.
Frequently asked
Is this relevant if I'm not in AI development?
Yes. ISO 42001 applies to governance and oversight roles across AI systems, this course is built for practitioners ensuring trust and compliance in AI outcomes.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this include templates?
Yes. Every module includes downloadable templates and worked examples, plus a hand-built implementation playbook delivered at enrollment.
$199 one-time. Approximately 3-4 hours per module, designed for steady progress alongside full-time work.
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