A tailored course, built for your situation
Becoming the go to practitioner for ISO 42001 AI management systems
A tailored course to make you the recognised expert on ISO 42001 implementation in software teams
$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 developer in a regulated enterprise environment, actively involved in AI system design and compliance-critical deployments
Who this is not for
Junior developers, non-technical compliance staff, or consultants focused only on audit without implementation experience
What you walk away with
- Named as the internal reference for ISO 42001 AI management system questions
- Produce audit-ready documentation packages on demand
- Lead ISO 42001 implementation efforts without escalation
- Influence architecture decisions through standards-backed reasoning
- Build repeatable patterns that spread across teams
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and the AI management system
Understand the purpose, structure, and strategic value of ISO 42001 in enterprise software development. Learn how technical practitioners anchor the framework.
12 chapters in this module
- What ISO 42001 solves
- Scope of an AI management system
- Key roles in implementation
- Linking code to compliance
- Why developers lead here
- Early signals of adoption
- Enterprise motivation drivers
- How it differs from SOC 2
- Integration with SDLC
- Documentation expectations
- Audit interface points
- First steps in scoping
Module 2. Leadership and organisational context
Map leadership responsibilities to real engineering decisions. Learn to speak both governance and implementation fluently.
12 chapters in this module
- Top management commitment examples
- Defining organisational context
- AI system boundaries defined
- Stakeholder identification
- Risk tolerance calibration
- Policy ownership assignment
- Alignment with ESG goals
- Legal and regulatory baseline
- Linking to AI ethics boards
- Vendor oversight roles
- Budget justification levers
- Escalation pathways
Module 3. Planning the AI management system
Build compliant architecture plans that satisfy both auditors and engineers. Turn high-level mandates into deployable patterns.
12 chapters in this module
- Risk assessment methodology
- AI-specific threat modelling
- Control selection rationale
- Documentation depth rules
- Versioning compliance artefacts
- Gap analysis workflow
- Internal audit triggers
- Timeline for deployment
- Resource alignment techniques
- Toolchain integration
- Automated control checks
- Rollout sequencing
Module 4. Support processes and documentation
Create living documentation that survives team changes and scales across projects.
12 chapters in this module
- Document control systems
- Versioning compliant outputs
- Knowledge transfer protocols
- Training plan templates
- Awareness materials
- Internal communication cadence
- Record retention rules
- Audit trail requirements
- Storage compliance
- Access control mapping
- Change logging standards
- Revision approval chains
Module 5. Operational control implementation
Embed ISO 42001 controls directly into CI/CD, monitoring, and deployment workflows.
12 chapters in this module
- Secure development lifecycle
- Code review checklists
- Model validation gates
- Bias detection integration
- Data provenance tracking
- Explainability by design
- Human oversight points
- Incident response alignment
- Logging for compliance
- Fail-safe mechanisms
- Rollback compliance
- Drift detection
Module 6. Performance evaluation and monitoring
Design feedback loops that validate ongoing conformance and flag deviations early.
12 chapters in this module
- KPIs for AI systems
- Control effectiveness metrics
- Internal audit frequency
- Automated conformance checks
- Monitoring thresholds
- Alert triage workflow
- Review meeting cadence
- Corrective action process
- Management review inputs
- Stakeholder feedback loops
- Benchmark comparisons
- Maturity assessments
Module 7. Improvement and continual adaptation
Turn audit findings and system changes into structured improvements without disruption.
12 chapters in this module
- Nonconformance handling
- Root cause analysis tools
- Remediation tracking
- Change control workflow
- Update approval chains
- Version bump strategy
- Retrospective integration
- Lessons learned archiving
- Framework evolution tracking
- External update monitoring
- Patch impact analysis
- Documentation update triggers
Module 8. Control A.1 Accountability and oversight
Implement clear chains of responsibility for AI system decisions, from code to outcomes.
12 chapters in this module
- Role assignment clarity
- Decision ownership
- Oversight committee design
- Escalation thresholds
- Change approval workflow
- Duty separation enforcement
- Conflict resolution process
- Ethics review triggers
- Legal interface points
- Compliance sign-off
- Audit interface design
- Remediation ownership
Module 9. Control A.2 Risk management
Embed structured risk practices into daily development without slowing delivery.
12 chapters in this module
- Risk register setup
- Hazard identification
- Likelihood scoring
- Impact assessment
- Risk acceptance criteria
- Mitigation tracking
- Third-party risk
- Model drift risks
- Data quality risks
- Security integration
- Legal compliance risks
- Reputational exposure
Module 10. Control A.3 Transparency and explainability
Build systems that are auditable and understandable to non-technical reviewers.
12 chapters in this module
- Documentation for non-engineers
- Model card creation
- System description standards
- User communication templates
- Explainability integration
- Bias reporting format
- Performance disclosure
- Update notification rules
- Audit trail design
- Access to information
- Complaint handling
- Public disclosure thresholds
Module 11. Control A.4 Human oversight
Design meaningful human-in-the-loop mechanisms that satisfy compliance and improve outcomes.
12 chapters in this module
- Intervention points
- Override mechanisms
- Monitoring interface
- Training for reviewers
- Escalation triggers
- Decision logging
- Fallback procedures
- Responsiveness standards
- Review frequency
- Alert fatigue prevention
- Feedback capture
- Process refinement
Module 12. Control A.5 Robustness and accuracy
Ensure AI systems perform reliably under real-world conditions and over time.
12 chapters in this module
- Performance benchmarks
- Stress testing
- Drift detection
- Accuracy validation
- Fail-safe triggers
- Model monitoring
- Input validation
- Output sanity checks
- Resilience testing
- Security hardening
- Recovery procedures
- Update safety checks
How this maps to your situation
- When building first AI system with governance oversight
- Before internal audit cycle begins
- When onboarding new team members
- After regulatory inquiry
Before vs. after
Before
Reliant on others for compliance guidance, reactive to audit requests, ad hoc documentation
After
Proactively shaping compliant systems, producing audit-ready outputs, recognised as the internal expert on ISO 42001
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 real work cycles.
How this compares to the alternatives
Unlike generic compliance courses, this focuses exclusively on developer-led ISO 42001 implementation with code-level examples and enterprise deployment patterns.
Frequently asked
Who is this course for?
Senior software developers and technical leads implementing AI systems in regulated environments who want to lead on compliance.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover technical implementation?
Yes, every control includes code-level patterns, CI/CD integration, and real-world deployment examples.
$199 one-time. Approximately 3 hours per module, designed for integration into real work 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