A tailored course, built for your situation
Mastering ISO 42001 for Senior Software Engineering Leaders
Build authoritative command of AI management systems to lead high-impact healthcare technology initiatives
$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.
Falling behind on AI governance expectations despite technical excellence
The situation this course is for
Skilled engineering leaders are being asked to own AI compliance but lack structured frameworks to translate policy into practice. Without clear command of standards like ISO 42001, teams default to reactive implementations, inconsistent controls, and fragmented documentation, leading to rework, delayed audits, and eroded trust.
Who this is for
Senior engineering leader in a regulated industry leading software teams through AI integration and compliance alignment
Who this is not for
Individual contributors focused only on coding, product managers without engineering delivery responsibility, or compliance officers without technical implementation experience
What you walk away with
- Map ISO 42001 controls directly to TypeScript-based application layers
- Produce a living Statement of Applicability (SoA) tailored to healthcare AI systems
- Lead internal ISO 42001 readiness assessments without external consultants
- Align development sprints with AI risk classification and control deployment
- Document implementation decisions with policy-source traceability
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 Scope and AI System Boundaries
Define the applicability of ISO 42001 to software-driven healthcare platforms and identify AI system components requiring governance.
12 chapters in this module
- What ISO 42001 covers
- AI system identification
- Scope boundary decisions
- Healthcare-specific applicability
- Integration with existing SDLC
- Control exclusion rationale
- Documenting scope assertions
- Stakeholder alignment on boundaries
- Versioning the scope statement
- Traceability to architecture diagrams
- Regulator expectations on scope
- Common mistakes in boundary setting
Module 2. Establishing AI Governance Roles and Accountability
Assign clear ownership for AI management system components and ensure accountability across engineering and compliance functions.
12 chapters in this module
- AI governance structure design
- RACI mapping for AI controls
- Engineering lead responsibilities
- Compliance interface points
- Escalation paths for risk
- Documentation of decisions
- Cross-functional alignment
- Role-specific training plans
- Maintaining role clarity
- Updating accountability maps
- Sign-off workflows
- Audit readiness for roles
Module 3. AI Risk Assessment and Tiered Implementation
Conduct risk-tiered evaluations of AI components and prioritize control deployment based on impact and likelihood.
12 chapters in this module
- AI-specific risk criteria
- Risk classification framework
- Likelihood impact matrix
- Tiering AI workloads
- Control deployment by tier
- Engineering effort estimation
- Risk register maintenance
- Third-party risk assessment
- Dynamic risk reassessment
- Integration with sprint planning
- Escalation thresholds
- Risk communication templates
Module 4. Control Mapping and Technical Implementation
Translate ISO 42001 controls into actionable technical specifications for TypeScript-based applications.
12 chapters in this module
- Control-to-code mapping
- Technical control design
- TypeScript implementation patterns
- Logging and monitoring specs
- Access control integration
- Model version tracking
- Bias detection hooks
- Explainability implementation
- Data lineage enforcement
- Security control embedding
- Automated control checks
- Testing control effectiveness
Module 5. Developing the Statement of Applicability (SoA)
Create a comprehensive, living SoA that justifies control inclusion, exclusion, and implementation approach.
12 chapters in this module
- SoA structure and format
- Control-by-control justification
- Exclusion rationale writing
- Implementation status tracking
- Version control for SoA
- Healthcare-specific justifications
- Integration with Jira workflows
- Automated SoA updates
- Audit preparation tips
- Stakeholder review cycles
- Living document maintenance
- Template reuse across teams
Module 6. Internal Audit Preparation and Readiness
Prepare for ISO 42001 audits with robust evidence, documentation, and pre-audit review processes.
12 chapters in this module
- Audit timeline planning
- Evidence checklist creation
- Internal pre-audit reviews
- Evidence packaging standards
- Audit response protocols
- Deficiency tracking system
- Remediation workflows
- Audit communication plan
- Evidence traceability
- Interview readiness
- Post-audit follow-up
- Continuous improvement loop
Module 7. AI System Lifecycle Management
Integrate ISO 42001 requirements into the full lifecycle of AI systems from design to decommissioning.
12 chapters in this module
- Lifecycle phase definitions
- Control deployment by phase
- Design phase requirements
- Development phase controls
- Testing phase validation
- Deployment phase checks
- Monitoring phase rules
- Update and patch protocols
- Retraining triggers
- Decommissioning process
- Lifecycle documentation
- Automated phase enforcement
Module 8. Vendor and Third-Party Oversight
Apply ISO 42001 controls to third-party AI components and ensure compliance across the supply chain.
12 chapters in this module
- Vendor risk classification
- Contractual compliance clauses
- Third-party assessment process
- Audit right-to-audit terms
- Performance monitoring
- Incident response coordination
- Compliance evidence collection
- Subprocessor oversight
- Penalty enforcement
- Exit strategy planning
- Ongoing relationship review
- Standardized vendor questionnaires
Module 9. Continuous Monitoring and Improvement
Establish ongoing monitoring mechanisms and feedback loops to maintain ISO 42001 compliance.
12 chapters in this module
- Monitoring scope definition
- KPI selection for AI systems
- Automated alerting
- Incident review process
- Corrective action tracking
- Management review meetings
- Performance dashboards
- Feedback loop design
- Update frequency decisions
- Control effectiveness testing
- Stakeholder reporting
- Improvement initiative prioritization
Module 10. Training and Awareness Programs
Develop role-specific training to embed ISO 42001 understanding across engineering and support teams.
12 chapters in this module
- Training needs analysis
- Role-specific curricula
- Developer training content
- QA team awareness
- Manager briefing materials
- New hire onboarding
- Training delivery methods
- Comprehension testing
- Refresher frequency
- Training record keeping
- Feedback integration
- Training audit preparation
Module 11. Documentation and Record Keeping
Maintain comprehensive, accessible records to demonstrate compliance with ISO 42001 requirements.
12 chapters in this module
- Record types and categories
- Retention period rules
- Storage location standards
- Access control for records
- Version control process
- Audit trail requirements
- Digital signature use
- Backup and recovery
- Searchability features
- Metadata tagging
- Record lifecycle management
- Disposal procedures
Module 12. Integration with Existing Compliance Frameworks
Align ISO 42001 with other regulatory and organizational requirements to avoid duplication.
12 chapters in this module
- Overlap with HIPAA
- Mapping to NIST CSF
- Integration with SOC 2
- Alignment with ISO 27001
- Coordination with COBIT
- Avoiding redundant efforts
- Unified control frameworks
- Cross-standard reporting
- Efficiency opportunities
- Stakeholder communication
- Change impact analysis
- Centralized control repository
How this maps to your situation
- Preparing for first ISO 42001 audit
- Leading AI compliance across engineering teams
- Building reusable compliance infrastructure
- Demonstrating leadership in AI governance
Before vs. after
Before
Approaching AI governance reactively, relying on consultants, and struggling to align engineering pace with compliance rigor.
After
Leading ISO 42001 implementation end to end, guiding architecture decisions, and setting the standard for compliant innovation.
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 be completed at your pace over 6-8 weeks.
If nothing changes
Without structured command of ISO 42001, engineering leaders risk delayed audits, inconsistent control application, and missed opportunities to shape AI governance strategy in their organization.
How this compares to the alternatives
Unlike generic compliance courses, this program is built specifically for senior engineering leaders implementing AI systems in healthcare. It combines ISO 42001 mastery with real-world TypeScript application patterns and decision-ready templates.
Frequently asked
Who is this course for?
Senior engineering leaders responsible for building or overseeing AI-powered systems in regulated environments, particularly healthcare.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to non-Healthcare AI systems?
Yes, the ISO 42001 framework is universal, though examples are drawn from healthcare for relevance.
$199 one-time. Approximately 3 hours per module, designed to be completed at your pace over 6-8 weeks..
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