A tailored course, built for your situation
Mastering ISO 42001 for Senior Data Platform Practitioners
Build AI governance frameworks that gain executive visibility and shape cross-team standards
$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.
Technical work stays invisible to leadership despite its impact
The situation this course is for
High-performing ICs often deliver critical governance and platform work that never surfaces to decision-makers. Their artefacts are functional but not framed for broader influence, so their contributions remain under the radar.
Who this is for
Senior individual contributors in data, automation, or platform roles who design and implement governance-ready systems but lack structured methods to elevate visibility
Who this is not for
Entry-level engineers, non-technical stakeholders, or practitioners outside data and AI governance domains
What you walk away with
- Structure ISO 42001-compliant AI governance frameworks tailored to enterprise data platforms
- Produce documentation packs that attract leadership attention during audit and strategy cycles
- Command consistency across control definitions, risk registers, and implementation timelines
- Deploy repeatable templates for AI system inventories and impact assessments
- Navigate ISO 42001 certification pathways with confidence
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 in Data-Centric Environments
Understand how ISO 42001 applies specifically to data and AI platforms, differentiating it from broader IT standards. Learn where it intersects with automation workflows and governance layers.
12 chapters in this module
- Core clauses of ISO 42001
- Mapping to data lifecycle stages
- AI system boundary definition
- Integration with platform architecture
- Governance scope for automation teams
- Role of ICs in framework ownership
- Documentation expectations
- Certification prerequisites
- Assessment timeline planning
- Cross-team alignment points
- Vendor oversight requirements
- Version control for artefacts
Module 2. AI System Inventory Design and Maintenance
Build a structured, living inventory of AI assets that meets ISO 42001 requirements while serving internal tracking and leadership reporting.
12 chapters in this module
- Defining AI system criteria
- Classification by risk tier
- Ownership assignment models
- Metadata standards
- Integration with existing registries
- Automated discovery methods
- Change tracking protocols
- Version history documentation
- Access control for inventory
- Audit readiness checks
- Stakeholder update cycles
- Scalability considerations
Module 3. Risk Assessment Frameworks for AI Deployment
Develop standardized risk evaluation methods that align with ISO 42001 and support consistent decision-making across teams and projects.
12 chapters in this module
- Risk identification techniques
- Stakeholder impact categories
- Bias detection protocols
- Transparency thresholds
- Human oversight requirements
- Fallback mechanism design
- Risk scoring models
- Documentation templates
- Review frequency standards
- Escalation pathways
- Integration with incident response
- Third-party risk inclusion
Module 4. Control Mapping for Data and Automation Workflows
Translate ISO 42001 controls into specific, actionable steps within data pipelines and automated processes.
12 chapters in this module
- Clause-to-control breakdown
- Data logging requirements
- Model monitoring integration
- Access governance alignment
- Change approval workflows
- Data lineage documentation
- Model retraining triggers
- Security logging standards
- Incident detection thresholds
- Audit trail retention
- Third-party control validation
- DevOps pipeline checks
Module 5. Documentation Strategies for Leadership Visibility
Transform technical outputs into clear, concise artefacts that inform executive decision-making and demonstrate compliance maturity.
12 chapters in this module
- Executive summary design
- Visualization of risk posture
- Compliance dashboard elements
- Reporting cadence planning
- Stakeholder-specific views
- One-pagers for leadership
- Version comparison formats
- Status update templates
- Escalation justification packs
- Regulatory engagement prep
- Board-level summary variants
- Public disclosure alignment
Module 6. Internal Audit Preparation and Execution
Lead or support ISO 42001 readiness reviews with confidence, producing evidence that withstands scrutiny.
12 chapters in this module
- Audit planning timeline
- Checklist development
- Evidence collection protocols
- Interview preparation guides
- Gap analysis methods
- Remediation tracking
- Audit trail validation
- Control testing procedures
- Cross-functional coordination
- Post-audit follow-up
- Corrective action logging
- Continuous monitoring setup
Module 7. Third-Party AI Governance Oversight
Extend ISO 42001 principles to vendor-managed AI systems and external integrations.
12 chapters in this module
- Vendor due diligence steps
- Contractual control requirements
- API security validation
- Model update review cycles
- Data handling compliance
- Performance monitoring standards
- Incident response coordination
- Exit strategy documentation
- Multi-cloud considerations
- Subprocessor oversight
- Certification reciprocity
- Audit rights negotiation
Module 8. Change Management in AI Systems
Implement governance around model updates, data shifts, and infrastructure changes to maintain ISO 42001 compliance.
12 chapters in this module
- Change categorization framework
- Approval workflow design
- Impact assessment process
- Rollback planning
- Staging environment protocols
- User communication templates
- Automated change detection
- Model drift thresholds
- Data schema update rules
- Version compatibility checks
- Documentation update requirements
- Stakeholder notification cycles
Module 9. Human Oversight and Interaction Design
Define meaningful human-in-the-loop mechanisms that meet ISO 42001 requirements and improve operational reliability.
12 chapters in this module
- Oversight level definitions
- Alert triage protocols
- Decision escalation paths
- Review frequency standards
- User interface requirements
- Escalation criteria
- Fallback activation triggers
- Training for human reviewers
- Performance monitoring
- Interaction logging
- Bias override procedures
- Audit readiness for oversight logs
Module 10. Performance Monitoring and Evaluation
Establish continuous evaluation systems for AI models and governance controls that align with ISO 42001 expectations.
12 chapters in this module
- KPI selection for AI systems
- Model accuracy tracking
- Bias detection frequency
- Drift detection methods
- User feedback integration
- Control effectiveness reviews
- Automated alerting
- Dashboard design
- Incident correlation
- Root cause analysis
- Remediation tracking
- Reporting to leadership
Module 11. Certification Readiness Roadmap
Navigate the ISO 42001 certification process with confidence, preparing for external audits and accreditation.
12 chapters in this module
- Accreditation body selection
- Gap assessment execution
- Evidence compilation
- Internal dry-run audits
- Documentation package assembly
- Stakeholder readiness checks
- Audit-day protocols
- Corrective action handling
- Post-certification maintenance
- Scope change procedures
- Renewal preparation
- Public disclosure coordination
Module 12. Sustaining Governance Beyond Certification
Ensure long-term compliance and continuous improvement after achieving ISO 42001 certification.
12 chapters in this module
- Annual review planning
- Continuous improvement cycles
- Staff training programs
- Framework update procedures
- Incident learning integration
- Benchmarking against peers
- Control evolution protocols
- Technology change adaptation
- Regulatory monitoring
- Stakeholder feedback loops
- Public reporting alignment
- Legacy system sunsetting
How this maps to your situation
- Designing AI governance frameworks that scale
- Elevating technical work to leadership visibility
- Preparing for ISO 42001 certification
- Maintaining compliance in evolving data environments
Before vs. after
Before
Delivering robust data and automation systems without structured recognition from leadership or audit functions
After
Producing ISO 42001-aligned governance artefacts that gain executive attention and become reference standards across teams
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 integration into regular workflow without disruption
If nothing changes
Continuing to deliver high-quality technical work that remains unseen by decision-makers, limiting influence and career trajectory despite strong execution
How this compares to the alternatives
Unlike generic compliance courses, this program focuses exclusively on ISO 42001 implementation within data and AI platforms, with artefacts tailored to senior ICs shaping governance from within engineering teams
Frequently asked
Is this course technical or strategic?
It’s both, focused on implementing ISO 42001 through technical artefacts that have strategic visibility, designed for senior ICs in data and automation roles.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does it cover other AI governance frameworks?
The focus is ISO 42001, but comparisons to NIST AI RMF and OECD AI Principles are included where relevant.
$199 one-time. Approximately 3-4 hours per module, designed for integration into regular workflow without disruption.
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