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DAT3628 Mastering ISO 42001 for Software Engineers in Data Platform Architecture

$199.00
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A tailored course, built for your situation

Mastering ISO 42001 for Software Engineers in Data Platform Architecture

Build AI governance frameworks with full decision authority

$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.
Engineers inherit governance requirements, but rarely get to shape them

The situation this course is for

Most software engineers implement controls they didn’t design, leading to misalignment with data architecture and rework during audits. The gap isn’t technical skill, it’s decision ownership.

Who this is for

Senior software engineers in data-intensive environments who are stepping into governance ownership without formal decision rights

Who this is not for

Junior developers, compliance officers without technical background, or vendors selling tools , this is for engineers shaping architecture and governance together

What you walk away with

  • Own end-to-end control mapping for AI systems under ISO 42001
  • Ship a working Statement of Applicability aligned to data platform design
  • Approve exclusions from controls based on technical constraints
  • Design audit-ready documentation templates for recurring use
  • Lead framework evaluations with vendor tooling teams

The 12 modules (with all 144 chapters)

Module 1. Introduction to ISO 42001 in Data Platform Contexts
Understand how ISO 42001 applies to data engineering teams building AI systems, not just corporate governance functions.
12 chapters in this module
  1. What ISO 42001 means for engineers
  2. Distinction from ISO 27001 and SOC 2
  3. AI systems lifecycle phases
  4. Data platform governance gaps
  5. Control applicability principles
  6. Engineering vs compliance ownership
  7. Framework adoption trends
  8. Dropbox-scale architecture patterns
  9. AI risk ownership models
  10. Regulatory intent behind ISO 42001
  11. Control implementation tradeoffs
  12. Decision rights by role
Module 2. Control Selection and Boundary Setting
Choose which controls apply based on data throughput, retention, and processing logic , not generic checklists.
12 chapters in this module
  1. Control-by-control applicability
  2. High-throughput data filtering
  3. Real-time vs batch processing
  4. Data lineage thresholds
  5. Retention policy alignment
  6. Vendor integration boundaries
  7. Exclusion justification patterns
  8. Architecture-based exemptions
  9. Control overlap resolution
  10. Internal audit alignment
  11. Cross-platform consistency
  12. Documentation standards
Module 3. Statement of Applicability Development
Build a working SoA tied directly to your data architecture, not a templated document.
12 chapters in this module
  1. SoA structure fundamentals
  2. Linking controls to pipelines
  3. Technical rationale writing
  4. Exclusion approval workflow
  5. Data classification mapping
  6. Encryption scope definition
  7. Access control alignment
  8. Logging and monitoring ties
  9. Incident response triggers
  10. Change management integration
  11. Review cycle design
  12. Version control for SoA
Module 4. Control Implementation in Data Workflows
Embed ISO 42001 controls directly into ETL, model training, and serving pipelines.
12 chapters in this module
  1. ETL control insertion
  2. Model input validation
  3. Feature store access rules
  4. Pipeline monitoring setup
  5. Data drift detection
  6. Bias control points
  7. Versioning integration
  8. Approval gate design
  9. Automated compliance checks
  10. Failure mode documentation
  11. Recovery procedure mapping
  12. Audit trail generation
Module 5. Documentation Templates and Reuse
Create templates that survive team changes and scale across projects.
12 chapters in this module
  1. Template scope definition
  2. Field-level documentation
  3. Auto-generated content
  4. Version control integration
  5. Team onboarding use
  6. Cross-project reuse
  7. Approval workflow setup
  8. Living document model
  9. Change tracking
  10. Audit-readiness checks
  11. Machine-readable outputs
  12. Stakeholder access tiers
Module 6. Vendor Tooling and Framework Evaluation
Lead tool selection with full control over evaluation criteria.
12 chapters in this module
  1. Tooling requirement mapping
  2. Control compatibility check
  3. Integration effort estimation
  4. Data format support
  5. API compliance features
  6. Audit trail export
  7. Access control depth
  8. Scalability thresholds
  9. Support model assessment
  10. Cost vs control benefit
  11. Exit strategy inclusion
  12. Final sign-off authority
Module 7. Exclusion Justification and Technical Rationale
Write defensible reasons for control exclusions based on system design.
12 chapters in this module
  1. When to exclude controls
  2. Architecture constraint types
  3. Data flow justification
  4. Throughput limitations
  5. Latency requirements
  6. Redundancy models
  7. Cost-benefit analysis
  8. Peer review process
  9. Escalation avoidance
  10. Regulator-facing language
  11. Technical depth balance
  12. Versioned rationale storage
Module 8. Audit Trail Design and Implementation
Build tamper-resistant, queryable audit logs tied to control execution.
12 chapters in this module
  1. Control-to-log mapping
  2. Event schema design
  3. Immutable storage setup
  4. Access control enforcement
  5. Query interface design
  6. Retention policy alignment
  7. Cross-system correlation
  8. Automated alerting
  9. Drift detection
  10. Log integrity checks
  11. Third-party access
  12. Incident replay capability
Module 9. Cross-Team Governance Alignment
Standardize control implementation across data, ML, and infrastructure teams.
12 chapters in this module
  1. Common control language
  2. Inter-team handoffs
  3. Ownership matrices
  4. Conflict resolution paths
  5. Shared documentation
  6. Change notification
  7. Escalation protocols
  8. Peer review integration
  9. Cross-functional templates
  10. Unified audit trails
  11. Training materials
  12. Governance lifecycle sync
Module 10. Internal Audit Preparation
Turn your framework into a repeatable, inspection-ready state.
12 chapters in this module
  1. Audit timeline modeling
  2. Evidence collection automation
  3. Control testing design
  4. Gap identification
  5. Remediation tracking
  6. Stakeholder interviews
  7. Documentation completeness
  8. Past finding resolution
  9. External auditor expectations
  10. Internal reporting format
  11. Feedback integration
  12. Cycle improvement
Module 11. Governance Playbook Assembly
Bundle all artifacts into a living playbook that survives leadership changes.
12 chapters in this module
  1. Playbook structure design
  2. Module integration
  3. Version control setup
  4. Access control rules
  5. Change approval workflow
  6. Onboarding integration
  7. Search and navigation
  8. External auditor access
  9. Internal training use
  10. Automated updates
  11. Feedback loops
  12. Ownership transfer
Module 12. Course Integration and Next Steps
Deploy your playbook and own the governance conversation in your organization.
12 chapters in this module
  1. Playbook rollout plan
  2. Team adoption strategy
  3. Leadership buy-in
  4. Metrics for success
  5. Continuous improvement
  6. Cross-org influence
  7. Version upgrade path
  8. Community of practice
  9. External recognition
  10. Thought leadership
  11. Future control frameworks
  12. Lifelong mastery path

How this maps to your situation

  • High-throughput data platform design
  • AI system governance ownership
  • Cross-functional control alignment
  • Audit-ready documentation delivery

Before vs. after

Before
Governance decisions are made elsewhere; you implement controls without context or authority
After
You own the framework, approve exclusions, and ship audit-ready artifacts , no escalation needed

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 to fit around active engineering cycles.

If nothing changes
Without direct control ownership, engineers remain reactive , forced to retrofit systems during audits, repeating work that should only be done once.

How this compares to the alternatives

Generic ISO 42001 courses focus on compliance checklists. This course is built for engineers who must implement controls in high-throughput data systems , with decision rights, not just awareness.

Frequently asked

Who is this course for?
Senior software engineers working on data and AI platforms who are expected to own governance outcomes, not just implement them.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Do I get a certificate?
Yes , a certificate of mastery in ISO 42001 for Data Platform Engineers is issued upon completion.
$199 one-time. Approximately 3 hours per module , designed to fit around active engineering 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