A tailored course, built for your situation
Broader Scope on ISO 42001 AI Governance Ownership
Earn the mandate to shape AI governance across more teams and systems in your current role
$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 Software Engineer leading backend systems delivery with exposure to compliance-critical AI deployments
Who this is not for
Engineers focused only on non-regulated R&D, or those seeking certification prep only
What you walk away with
- Lead ISO 42001 control implementation across multiple project streams
- Own the framework interpretation for AI systems in regulated environments
- Gain recognition as the internal authority on compliant AI architecture
- Direct control mapping and documentation without escalation
- Shape cross-team governance patterns adopted enterprise-wide
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 in AI Systems
Understand how ISO 42001 applies specifically to AI lifecycle management in backend environments.
12 chapters in this module
- What ISO 42001 governs in AI systems
- AI risk domains covered by the standard
- How it differs from SOC 2 and ISO 27001
- Mapping AI components to clauses
- Role of software engineers in compliance
- Audit expectations for AI governance
- AI-specific control objectives
- Linking AI models to organisational policy
- Documenting AI purpose and scope
- Transparency requirements for developers
- Human oversight in automated decisions
- Versioning compliant AI artefacts
Module 2. Control Mapping for Java Backend Systems
Translate ISO 42001 controls into specific, actionable configurations for backend services.
12 chapters in this module
- Identifying AI workloads in service layers
- Mapping API endpoints to control A.1
- Data lineage in microservices
- Authentication controls for AI services
- Logging AI decision paths
- Securing model inference endpoints
- Input validation for AI models
- Session management in AI workflows
- Rate limiting for AI APIs
- Error handling with compliance logging
- Audit trail requirements for Java apps
- Control test cases for integration
Module 3. Documentation That Stands Up to Scrutiny
Build audit-ready artefacts that demonstrate compliance without rework.
12 chapters in this module
- SoA structure for AI projects
- Exclusion justification templates
- Control implementation evidence
- Version-controlled policy snippets
- AI governance runbooks
- Stakeholder sign-off workflows
- Automated documentation triggers
- Change logs for model updates
- Compliance checklists per sprint
- Peer review templates
- Architecture decision records
- Incident response integration
Module 4. Governance Integration Across Teams
Lead adoption of ISO 42001 practices beyond your direct control.
12 chapters in this module
- Onboarding data science teams
- Working with MLOps engineers
- Aligning with InfoSec teams
- Influencing product managers
- Educating project leads
- Creating re-usable compliance blocks
- Cross-functional control reviews
- Facilitating governance workshops
- Measuring adoption across units
- Tracking control maturity
- Feedback loops from audit results
- Scaling patterns through templates
Module 5. Audit-Ready Artefact Assembly
Produce complete, consistent packages for internal and external validators.
12 chapters in this module
- First complete SoA assembly
- Evidence collection workflow
- Control mapping spreadsheet design
- Automated compliance checks
- Sampling strategy for auditors
- Preparing for on-site reviews
- Response protocols for findings
- Post-audit improvement tracking
- Maintaining living documentation
- Versioning across environments
- Change management integration
- Sign-off trails for artefacts
Module 6. Risk Assessment for AI Systems
Conduct ISO 42001-aligned risk assessments that inform engineering priorities.
12 chapters in this module
- Identifying AI risk scenarios
- Stakeholder impact analysis
- Likelihood and severity scoring
- Mapping risks to controls
- Documenting risk treatment plans
- Residual risk reporting
- Risk register maintenance
- Escalation thresholds
- Third-party AI risk assessment
- Vendor AI model due diligence
- Model drift monitoring
- Risk-based testing frequency
Module 7. Continuous Compliance Engineering
Embed ISO 42001 checks into CI/CD pipelines and monitoring.
12 chapters in this module
- Pre-commit hooks for policy checks
- Automated control validation
- Policy-as-code frameworks
- Static analysis for compliance
- Dynamic scanning integration
- Compliance gates in deployment
- Rollback procedures for failures
- Monitoring AI model outputs
- Alerting on control violations
- Automated evidence collection
- Scheduled control reassessment
- Version compatibility checks
Module 8. Vendor and Third-Party Governance
Extend ISO 42001 oversight to external AI providers and integrations.
12 chapters in this module
- Third-party risk assessment
- AI vendor contract clauses
- Due diligence questionnaires
- Audit rights negotiation
- Model transparency requirements
- Data processing agreements
- Subprocessor management
- Penetration testing access
- Incident response coordination
- Compliance validation frequency
- Exit strategy planning
- Vendor offboarding controls
Module 9. Leadership Communication and Influence
Position yourself as the trusted voice on AI governance with stakeholders.
12 chapters in this module
- Explaining ISO 42001 to non-technical leaders
- Translating risk into business terms
- Reporting compliance status
- Presenting audit findings
- Building executive confidence
- Shaping governance strategy
- Requesting resources for compliance
- Advocating for tooling investment
- Demonstrating ROI of controls
- Managing competing priorities
- Escalating critical risks
- Establishing governance cadence
Module 10. Incident Response and Governance
Apply ISO 42001 principles during AI-related incidents and breaches.
12 chapters in this module
- Identifying AI-related incidents
- Containment procedures for models
- Forensic data collection
- Regulatory reporting timelines
- Cross-team coordination
- Post-incident control review
- Updating risk assessments
- Lessons learned documentation
- Model retraining triggers
- Notification procedures
- Legal and PR coordination
- Audit trail reconstruction
Module 11. Scalable Governance Patterns
Design repeatable approaches that compound compliance efficiency.
12 chapters in this module
- Reusable control templates
- Standardised documentation
- Compliance starter kits
- Accelerators for new teams
- Centralised policy repositories
- Governance metadata tagging
- Automated onboarding flows
- Self-service compliance tools
- Training content for engineers
- Metrics for governance health
- Benchmarking across divisions
- Continuous improvement loops
Module 12. Sustaining Compliance Through Change
Maintain ISO 42001 alignment through organisational and technical transitions.
12 chapters in this module
- Governance in agile environments
- Managing framework updates
- Handling organisational restructuring
- Migrating systems securely
- Onboarding new technologies
- Integrating acquired teams
- Leadership transition planning
- Audit trail continuity
- Policy version transitions
- Knowledge transfer protocols
- Updating control mappings
- Future-proofing documentation
How this maps to your situation
- Delivering AI systems in regulated environments
- Responding to compliance requests
- Leading cross-team governance adoption
- Preparing for internal and external audits
Before vs. after
Before
Compliance work is reactive, fragmented, and requires constant escalation.
After
You proactively own governance scope, lead cross-functional alignment, and set the standard others follow.
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 delivery commitments.
How this compares to the alternatives
Unlike generic compliance trainings, this course is tailored to senior engineers shaping AI governance in regulated backend environments, with concrete tools and decision frameworks used by practitioners at global firms.
Frequently asked
Is this course focused on certification prep?
No. This course is about owning the implementation and interpretation of ISO 42001 in real-world AI systems , not passing an exam.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I need to change roles to apply this?
No. This is designed to expand your mandate in your current role as a senior engineer.
$199 one-time. Approximately 3 hours per module, designed to fit around delivery commitments..
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