A tailored course, built for your situation
Mastering ISO 42001 for Full-Stack Data Engineering Practitioners
Build defensible, high-quality AI governance outputs that stand up to internal and external scrutiny
$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.
Most AI governance efforts fail audit readiness due to rework and inconsistency
The situation this course is for
Teams spend cycles redoing documentation, reconciling control gaps, and defending weak mappings, often because initial outputs weren't built to endure scrutiny.
Who this is for
Senior data and software engineers in regulated environments who own or influence AI governance implementation
Who this is not for
Entry-level analysts, consultants without implementation experience, or leaders seeking only high-level overviews
What you walk away with
- Produce ISO 42001-compliant AI governance documentation that passes internal review without revision
- Map technical controls to ISO 42001 clauses with precision, using code-level examples and system diagrams
- Generate audit-ready statements of applicability (SoA) that reflect actual system architecture
- Align AI governance sprint cycles with development timelines using repeatable templates
- Anticipate assessor follow-ups with documented, source-backed reasoning
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 in the context of AI systems
Establish foundational knowledge of ISO 42001’s structure, intent, and relationship to AI risk and governance. Focus on clause interpretation relevant to software and data pipelines.
12 chapters in this module
- Scope of ISO 42001
- Core principles of AI governance
- Relationship to ISO IEC 27001
- Differences from SOC 2 and NIST CSF
- Clause-by-Clause overview
- Applicability of Annex A controls
- Role of technical documentation
- Integration with SDLC
- Common misconceptions
- First-party vs third-party assurance
- Preparing for internal audits
- Linking to data governance
Module 2. Defining AI system boundaries and ownership
Learn how to define system scope with precision, assign control ownership, and document data flow paths to meet ISO 42001 requirements.
12 chapters in this module
- Mapping AI system components
- Identifying data ingress and egress
- Control ownership frameworks
- Documentation ownership roles
- Version control integration
- Traceability from code to control
- System boundary diagrams
- Change management linkage
- Stakeholder alignment
- Versioned control registers
- Automated boundary checks
- Integration with CI/CD
Module 3. Control selection and applicability justification
Select controls based on actual system design, not generic checklists. Build defensible rationale for inclusion or exclusion.
12 chapters in this module
- Annex A control inventory
- Relevance filtering by use case
- Justification templates
- Risk-based exclusion criteria
- Technical evidence mapping
- Control overlap resolution
- Version-controlled rationale
- Automated control tagging
- Peer review workflows
- Assessor anticipation
- Integration with threat modeling
- Control deprecation planning
Module 4. Writing the statement of applicability (SoA)
Create a clear, accurate, and defensible SoA that reflects real system implementation and survives auditor scrutiny.
12 chapters in this module
- SoA structure and formatting
- Control implementation status
- Exclusion justification writing
- Evidence references
- Cross-linking to documentation
- Version control for SoA
- Change tracking
- Automated diff reporting
- Review cycles
- Stakeholder sign-off
- Audit preparation checklist
- SoA update workflows
Module 5. Documenting AI governance policies
Develop internal policies that satisfy ISO 42001 requirements while aligning with engineering culture and delivery pace.
12 chapters in this module
- AI policy structure
- Policy version control
- Distribution and acknowledgment
- Policy exception handling
- Integration with HR policies
- Review and update cycles
- Escalation paths
- Automated policy checks
- Alignment with code of conduct
- Training integration
- Audit trail generation
- Policy archiving
Module 6. Building technical evidence packages
Assemble system-specific proof of control implementation using logs, code, diagrams, and configuration files.
12 chapters in this module
- Evidence types by control
- Log retention strategies
- Code annotation standards
- Architecture diagrams
- Configuration snapshots
- Automated evidence collection
- Evidence storage security
- Access control for reviewers
- Hash-based verification
- Timestamped logs
- Evidence completeness checklist
- Pre-audit validation
Module 7. Integrating with development workflows
Embed ISO 42001 requirements into sprint planning, code reviews, and deployment gates.
12 chapters in this module
- Sprint planning integration
- Control implementation tickets
- Code review checklists
- Pull request gates
- Automated control testing
- Integration with Jira
- Backlog prioritization
- DevSecOps alignment
- CI/CD pipeline checks
- Documentation automation
- Release approval workflows
- Post-deployment validation
Module 8. Internal audit preparation
Prepare for internal audits with confidence by aligning documentation, evidence, and team readiness.
12 chapters in this module
- Audit scope definition
- Team readiness checklist
- Documentation walkthroughs
- Mock audit sessions
- Gap identification
- Remediation tracking
- Audit timeline planning
- Stakeholder comms
- Evidence pack assembly
- Q&A preparation
- Follow-up anticipation
- Post-audit reporting
Module 9. Third-party audit coordination
Coordinate with external auditors effectively, providing accurate, timely responses and evidence.
12 chapters in this module
- Auditor onboarding
- Scope alignment
- Evidence requests
- Response drafting
- Interview preparation
- Escalation paths
- Time zone coordination
- Communication protocols
- Audit findings response
- Corrective action plans
- Timeline management
- Final report review
Module 10. Continuous improvement and monitoring
Implement feedback loops and monitoring to maintain ISO 42001 compliance over time.
12 chapters in this module
- Control effectiveness metrics
- Automated health checks
- Quarterly review cycles
- Change impact assessment
- Incident response linkage
- Lessons learned integration
- Stakeholder feedback
- Tooling updates
- Version comparison
- Trend analysis
- Audit readiness scoring
- Improvement backlog
Module 11. Scaling AI governance across teams
Extend ISO 42001 compliance practices across multiple teams and systems without duplication.
12 chapters in this module
- Centralized control registry
- Template reuse
- Cross-team alignment
- Shared documentation
- Common evidence repositories
- Training programs
- Mentorship structures
- Standard operating procedures
- Inter-team audits
- Consistency checks
- Scaling documentation
- Governance tool integration
Module 12. Sustaining compliance through leadership changes
Ensure knowledge transfer and continuity of AI governance practices regardless of personnel changes.
12 chapters in this module
- Knowledge capture methods
- Documentation ownership
- Succession planning
- Training onboarding
- Audit trail retention
- Version history review
- Institutional memory tools
- Leadership transition checklist
- External examiner access
- Regulatory update tracking
- Framework evolution planning
- Long-term sustainability
How this maps to your situation
- New AI system launch
- Preparation for internal audit
- Third-party certification pursuit
- Scaling governance across teams
Before vs. after
Before
Rework-heavy documentation cycles, inconsistent control mapping, and audit preparation marathons
After
First-time-right governance outputs, clear evidence trails, and confidence in external review
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters total)
- 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 fit around engineering delivery cycles.
If nothing changes
Without structured methods, AI governance efforts risk repeated rework, auditor pushback, and erosion of engineering credibility.
How this compares to the alternatives
Unlike generic compliance courses, this program is built for engineers who ship systems and need governance to keep pace, no abstractions, just code-level examples and templates that integrate directly into delivery.
Frequently asked
Is prior experience with ISO 42001 required?
No. The course starts from first principles and builds to advanced implementation.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use this for third-party certification?
Yes. The templates and playbook are designed to support external audit and certification efforts.
$199 one-time. Approximately 3 hours per module, designed to fit around engineering delivery cycles..
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