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DAT9632 Mastering ISO 42001 for Senior Engineering Leaders

$199.00
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A tailored course, built for your situation

Mastering ISO 42001 for Senior Engineering Leaders

Build AI governance frameworks that ship faster and stand up to review

$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 engineering leader in a tech-forward organization driving AI governance and compliance integration

Who this is not for

Individuals without governance delivery responsibility or those new to engineering leadership roles

What you walk away with

  • Produce ISO 42001 compliance artefacts in half the time using structured templates
  • Align technical teams and compliance stakeholders within one review cycle
  • Ship working AI governance controls within sprint timelines
  • Anticipate auditor questions and embed evidence collection from day one
  • Lead ISO 42001 scoping sessions with executive teams confidently

The 12 modules (with all 144 chapters)

Module 1. Foundations of ISO 42001 in Engineering Contexts
Establish core principles of ISO 42001 as they apply to AI systems development and deployment within engineering-led organizations. Frame governance as an accelerator, not a gate.
12 chapters in this module
  1. What ISO 42001 solves for engineering teams
  2. AI risk categories in practice
  3. Mapping clauses to delivery stages
  4. Why speed matters in governance adoption
  5. Engineering ownership vs compliance oversight
  6. Common misconceptions clarified
  7. How ISO 42001 complements SOC 2
  8. Stakeholder expectations by role
  9. Integrating early vs catching up later
  10. Defining ‘done’ for governance tasks
  11. Evidence requirements by design phase
  12. Linking controls to sprint outcomes
Module 2. Scoping AI Governance Boundaries
Define clear, defensible boundaries for AI governance initiatives aligned with product architecture and organizational capabilities.
12 chapters in this module
  1. Identifying AI systems in scope
  2. Drawing governance lines at model level
  3. Ownership models across teams
  4. When to include data pipelines
  5. Handling third-party components
  6. Boundary documentation best practices
  7. Version control for scope statements
  8. Scoping review checklist
  9. Aligning with platform teams
  10. Documenting exceptions transparently
  11. Scalability considerations
  12. Updating scope without delays
Module 3. Stakeholder Alignment Framework
Deploy proven strategies to align engineering, legal, compliance, and security teams around shared governance goals.
12 chapters in this module
  1. Mapping stakeholder influence
  2. Communication cadence planning
  3. Decision rights by issue type
  4. Pre-meeting alignment tactics
  5. Agenda design for consensus
  6. Capturing agreement efficiently
  7. Managing dissent constructively
  8. Escalation paths that don’t slow work
  9. Role-specific deliverables definition
  10. Tracking alignment over time
  11. Re-engagement after turnover
  12. Feedback loops that stick
Module 4. Control Mapping for Development Workflows
Adapt ISO 42001 controls to fit agile development, CI/CD pipelines, and infrastructure-as-code environments.
12 chapters in this module
  1. Translating controls to technical tasks
  2. Mapping clause A.8 to sprint planning
  3. Embedding documentation in pull requests
  4. Automating evidence collection
  5. Assigning control ownership
  6. Versioning control implementations
  7. Tracking control gaps visually
  8. Linking controls to Jira tickets
  9. Review frequency by risk tier
  10. Handling control overlap
  11. Audit trail requirements by layer
  12. Speeding up evidence retrieval
Module 5. Document Architecture for Audit Readiness
Design documentation structures that meet ISO 42001 requirements while minimizing maintenance overhead.
12 chapters in this module
  1. Single-source-of-truth strategy
  2. Template design for reuse
  3. Automated document generation
  4. Version control integration
  5. Access control for sensitive content
  6. Cross-referencing without redundancy
  7. Living documents vs frozen artifacts
  8. Document review workflows
  9. Change tracking methods
  10. Consolidating overlapping content
  11. Searchability and navigation
  12. Handoff protocols for new team members
Module 6. Evidence Collection at Speed
Implement lean, automated evidence collection practices that scale across multiple AI systems.
12 chapters in this module
  1. Identifying minimum viable evidence
  2. Timing collection to delivery rhythm
  3. Leveraging logs and audit trails
  4. Integrating with observability tools
  5. Storing evidence for retrieval
  6. Capturing approvals digitally
  7. Sampling strategies for auditors
  8. Reducing duplication across systems
  9. Evidence mapping to controls
  10. Automated screenshot workflows
  11. Versioned evidence archives
  12. Preparing for remote audits
Module 7. Internal Readiness Reviews
Run effective internal reviews that surface gaps early and accelerate external audit success.
12 chapters in this module
  1. Scheduling rhythm aligned to delivery
  2. Checklist design for speed
  3. Assigning reviewers by expertise
  4. Capturing findings efficiently
  5. Prioritizing remediation efforts
  6. Tracking fixes to closure
  7. Reporting progress upward
  8. Simulating auditor questioning
  9. Using findings to improve workflows
  10. Documenting lessons learned
  11. Review participant selection
  12. Avoiding review fatigue
Module 8. Audit-Ready Artefact Assembly
Assemble complete, coherent compliance packages that meet auditor expectations without last-minute scrambling.
12 chapters in this module
  1. Artefact checklist by stage
  2. Ordering documents for clarity
  3. Creating navigable bundles
  4. Executive summaries that stick
  5. Handling auditor requests proactively
  6. Version control for submissions
  7. Secure delivery methods
  8. Follow-up tracking system
  9. Annotation best practices
  10. Maintaining artefacts post-audit
  11. Reusing artefacts across cycles
  12. Updating for scope changes
Module 9. Continuous Improvement Loops
Institutionalize feedback from audits and reviews to strengthen governance over time without adding burden.
12 chapters in this module
  1. Designing feedback collection
  2. Prioritizing improvements
  3. Integrating changes into sprints
  4. Measuring improvement impact
  5. Sharing wins across teams
  6. Updating training materials
  7. Versioning governance assets
  8. Tracking maturity over time
  9. Benchmarking against peers
  10. Adjusting for new threats
  11. Involving junior engineers
  12. Celebrating governance wins
Module 10. Training and Knowledge Transfer
Equip teams to maintain governance standards independently through targeted, role-specific training.
12 chapters in this module
  1. Identifying training needs
  2. Designing role-specific content
  3. Delivery formats that work
  4. Onboarding integration
  5. Refresher timing
  6. Hands-on exercises
  7. Documentation as training
  8. Mentorship models
  9. Measuring knowledge retention
  10. Updating materials efficiently
  11. Leader-led training tactics
  12. Building internal champions
Module 11. Change Management for Governance Updates
Manage updates to policies, controls, or scope with minimal disruption to delivery teams.
12 chapters in this module
  1. Assessing change impact
  2. Communication planning
  3. Phased rollout strategies
  4. Feedback gathering during rollout
  5. Addressing resistance early
  6. Updating documentation systematically
  7. Training for changes
  8. Monitoring adoption
  9. Adjusting based on feedback
  10. Version control for policies
  11. Archiving outdated versions
  12. Communicating sunset timelines
Module 12. Scaling Governance Across Systems
Extend successful governance patterns across additional AI systems and teams without linear effort growth.
12 chapters in this module
  1. Identifying reusable components
  2. Template adaptation strategies
  3. Centralized vs distributed ownership
  4. Cross-team coordination models
  5. Shared tooling options
  6. Standardizing reporting
  7. Managing consistency at scale
  8. Onboarding new systems
  9. Auditing multiple systems efficiently
  10. Resource planning for expansion
  11. Knowledge-sharing across teams
  12. Governance maturity framework

How this maps to your situation

  • Leading initial ISO 42001 implementation for AI systems
  • Accelerating compliance artefact delivery for audit
  • Reducing friction between engineering and compliance
  • Establishing repeatable governance patterns across teams

Before vs. after

Before
Manual, reactive compliance processes with long review cycles and redundant work across teams
After
Streamlined, proactive governance execution with faster artefact delivery and stronger cross-functional alignment

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 week over 4 weeks to complete all modules and apply templates

How this compares to the alternatives

Unlike generic compliance courses, this is tailored to senior engineering leaders implementing ISO 42001 in real-world AI systems, with concrete tools and methods that accelerate artefact delivery from intent to completion.

Frequently asked

Who is this course for?
Senior engineering leaders responsible for implementing AI governance and compliance frameworks in their organizations.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover SOC 2 as well?
While the focus is ISO 42001, we clarify how it complements existing SOC 2 programs and where controls overlap or diverge.
$199 one-time. Approximately 3 hours per week over 4 weeks to complete all modules and apply templates.

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