A tailored course, built for your situation
Direct sign-off authority on ISO 42001 framework decisions
Own the AI governance framework deployment from scoping to sign-off
$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
Principal Data Engineer leading AWS-based data solutions with exposure to AI governance standards
Who this is not for
Junior engineers, non-technical compliance staff, or practitioners without client delivery context
What you walk away with
- Final decision rights on ISO 42001 control boundaries for AI systems
- Authority to approve evidence collection strategies without escalation
- Ownership of the AI management system scope definition in audits
- Unilateral approval on mapping data pipelines to ISO 42001 clauses
- First-mover advantage in client discussions on AI governance implementation
The 12 modules (with all 144 chapters)
Module 1. Defining the scope of AI management systems under ISO 42001
Learn how to determine which data pipelines, models, and workflows fall within the ISO 42001 boundary based on risk, usage, and client requirements.
12 chapters in this module
- Scope criteria for AI systems
- Mapping data sources to clauses
- Identifying excluded controls
- Client-specific boundary adjustments
- Documenting scope rationale
- Stakeholder alignment tactics
- Versioning scope documents
- Handling scope creep
- Audit-readiness checklist
- Cross-team coordination
- Template reuse strategies
- Final sign-off workflow
Module 2. Control selection and tailoring for data-intensive AI systems
Master how to select and adapt ISO 42001 controls specifically for data engineering environments running on AWS.
12 chapters in this module
- Control relevance filtering
- Data pipeline risk weighting
- Tailoring justification writing
- Exclusion rationale templates
- AWS service alignment
- Logging and monitoring fit
- Version control for controls
- Peer review process
- Client approval workflow
- Evidence readiness check
- Update triggers
- Control deprecation
Module 3. Evidence sourcing strategy for automated data workflows
Design evidence plans that reflect real-time data operations and satisfy ISO 42001 auditors without manual overhead.
12 chapters in this module
- Automated logging sources
- Cloud-native evidence capture
- Data lineage as evidence
- Audit trail retention rules
- Role-based access logs
- Change tracking in pipelines
- Timestamp accuracy standards
- Evidence mapping matrix
- Sampling strategy design
- Client evidence access setup
- Third-party verification path
- Evidence update schedule
Module 4. Stakeholder alignment on AI governance scope
Lead alignment sessions with data, ML, and compliance teams to lock in ISO 42001 boundaries without escalation.
12 chapters in this module
- Stakeholder identification
- Pre-meeting package design
- Conflict anticipation
- Boundary negotiation tactics
- Consensus documentation
- RACI alignment
- Escalation avoidance
- Meeting facilitation script
- Decision logging
- Follow-up cadence
- Template reuse
- Sign-off confirmation
Module 5. Building the internal control framework playbook
Create a living document that standardizes ISO 42001 implementation across engagements and survives team changes.
12 chapters in this module
- Playbook structure design
- Control mapping templates
- Version control setup
- Ownership assignment
- Update approval process
- Access control settings
- Integration with Jira
- Change tracking method
- Audit preparation mode
- Client customization layer
- Training onboarding
- Decommissioning process
Module 6. Client-specific control interpretation
Adapt ISO 42001 requirements to client industry, risk appetite, and existing tech stack with documented justification.
12 chapters in this module
- Industry risk profiles
- Regulatory overlap analysis
- Control stringency levels
- Precedent-based reasoning
- Client-specific deviations
- Documentation standards
- Approval authority matrix
- Cross-border considerations
- Third-party dependencies
- Legacy system integration
- Risk acceptance thresholds
- Review cycle timing
Module 7. Vendor selection input for AI governance tools
Influence or lead vendor decisions for tools that support ISO 42001 compliance in data and AI environments.
12 chapters in this module
- Tooling requirement definition
- Vendor evaluation criteria
- Compliance feature checklist
- Integration feasibility
- Cost-benefit analysis
- Pilot design
- Stakeholder feedback loop
- Final recommendation write-up
- Approval process navigation
- Onboarding plan
- Performance tracking
- Exit strategy planning
Module 8. Audit preparation and response leadership
Lead the audit readiness process and serve as primary point of contact for ISO 42001 assessments.
12 chapters in this module
- Audit timeline mapping
- Evidence readiness check
- Internal dry run
- Question anticipation
- Response delegation
- Escalation protocol
- Gap remediation
- Findings documentation
- Corrective action plans
- Client communication
- Post-audit review
- Lessons learned update
Module 9. Change management for evolving AI systems
Implement processes that maintain ISO 42001 compliance as data pipelines and models evolve.
12 chapters in this module
- Change detection triggers
- Impact assessment method
- Control revalidation
- Scope update workflow
- Stakeholder notification
- Documentation update
- Audit trail update
- Rollback planning
- Automated alerts
- Version comparison
- Client approval path
- Post-change review
Module 10. Cross-functional team enablement
Equip data, ML, and DevOps teams to operate within ISO 42001 requirements without constant oversight.
12 chapters in this module
- Team-specific guidelines
- Training material creation
- Role clarity documentation
- Compliance self-check
- Escalation path design
- Feedback loop setup
- Performance metrics
- Knowledge transfer
- Onboarding integration
- Refresher schedule
- Tooling access
- Accountability tracking
Module 11. Client governance committee leadership
Lead or co-lead client committees that oversee AI governance and ISO 42001 compliance.
12 chapters in this module
- Committee charter design
- Agenda planning
- Stakeholder engagement
- Risk reporting format
- Decision logging
- Action item tracking
- Minutes distribution
- Follow-up cadence
- Escalation protocol
- Performance dashboard
- Client leadership update
- Meeting facilitation
Module 12. Sustaining compliance across project lifecycles
Embed ISO 42001 compliance into the full lifecycle of data and AI projects.
12 chapters in this module
- Initiation phase checks
- Design review gates
- Development compliance
- Testing validation
- Deployment sign-off
- Operations monitoring
- Decommissioning process
- Lifecycle documentation
- Phase transition checklist
- Client handover
- Post-project review
- Lessons integration
How this maps to your situation
- When starting a new AI governance engagement
- During internal audit preparation cycles
- After client requests for ISO 42001 compliance
- When leading cross-functional compliance initiatives
Before vs. after
Before
Reactive participation in ISO 42001 discussions, waiting for approvals on framework decisions
After
Proactive leadership with direct sign-off on control scope, evidence strategy, and boundary definition
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 for integration into active client work.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to Principal Data Engineers leading AWS-based AI governance deployments, with concrete decision rights and client-ready artefacts.
Frequently asked
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this course cover other frameworks like NIST or SOC 2?
The focus is exclusively on ISO 42001 with contextual references to AWS data architecture patterns.
Can I apply this directly to client work?
Yes, every module includes templates and examples designed for immediate use in client engagements.
$199 one-time. Approximately 3 hours per module, designed for integration into active client 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