A tailored course, built for your situation
Mastering ISO 42001 for Senior Project Leaders in Regulated Health Technology
A step-by-step mastery path to full AI management system control in high-compliance environments.
$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 project leader in regulated health technology environments who leads system implementations and needs formal recognition of governance authority under ISO 42001.
Who this is not for
Individuals seeking introductory AI concepts or generic project management refreshers; this is not for practitioners outside regulated product delivery cycles.
What you walk away with
- Own final decisions on AI system implementation scope without escalation
- Define and lock deployment timelines independently for AI-integrated projects
- Lead cross-functional alignment using ISO 42001 control mapping templates
- Produce audit-ready documentation packages in under 10 business days
- Drive vendor integration decisions using pre-validated control checklists
The 12 modules (with all 144 chapters)
Module 1. Introduction to ISO 42001 and AI Governance
Establish foundational understanding of ISO 42001 structure, scope, and applicability in health technology project environments.
12 chapters in this module
- What ISO 42001 covers
- AI systems vs traditional software
- Regulatory context in healthcare
- Project leadership role alignment
- Mapping to existing Hologic workflows
- Governance vs project delivery
- Key definitions in context
- Lifecycle phases under the standard
- Internal audit expectations
- Documentation hierarchy
- Cross-functional dependencies
- First steps in adoption
Module 2. Project Scope and AI System Boundaries
Define clear implementation scope with enforceable boundaries for AI-integrated projects.
12 chapters in this module
- Identifying AI components
- System boundary definition
- Exclusion justification templates
- Stakeholder input gates
- Scope freeze procedures
- Change control thresholds
- Vendor-delivered AI modules
- Legacy integration points
- Data flow constraints
- Regulatory interface mapping
- Risk-based scoping rules
- Approval workflow design
Module 3. Leadership Commitment and Accountability
Secure formal authority and demonstrate leadership ownership within ISO 42001 frameworks.
12 chapters in this module
- Top management engagement
- Policy sign-off requirements
- Resource allocation planning
- Role delegation clarity
- Accountability frameworks
- Internal reporting lines
- Compliance ownership
- KPIs for governance
- Periodic review cadence
- Documentation of decisions
- Escalation path removal
- Authority delegation logs
Module 4. Risk Assessment and Treatment Planning
Conduct thorough AI-specific risk assessments and develop treatment plans aligned with project timelines.
12 chapters in this module
- AI-specific risk categories
- Bias detection thresholds
- Model drift monitoring
- Data quality controls
- Third-party model risk
- Human oversight design
- Risk register structure
- Treatment options matrix
- Acceptance criteria definition
- Residual risk documentation
- Review cycle integration
- Audit trail maintenance
Module 5. Data Management for AI Systems
Implement data governance practices specific to AI training, testing, and operation.
12 chapters in this module
- Data sourcing standards
- Training data validation
- Test data representativeness
- Data labeling quality
- Bias mitigation steps
- Data retention rules
- Anonymization techniques
- Data lineage tracking
- Version control for datasets
- Access control policies
- Data refresh triggers
- Compliance checks automation
Module 6. AI System Lifecycle Controls
Apply ISO 42001 controls across development, deployment, and operation phases.
12 chapters in this module
- Development phase gates
- Model validation steps
- Testing protocols
- Deployment pre-checks
- Monitoring setup
- Incident response plan
- Performance thresholds
- Version update process
- Rollback procedures
- Decommissioning steps
- Change management integration
- Lifecycle documentation
Module 7. Transparency and Documentation Requirements
Meet ISO 42001 documentation demands with precision and efficiency.
12 chapters in this module
- Required document list
- Policy drafting templates
- Procedure writing standards
- Record retention periods
- Version control rules
- Review and update cycle
- Stakeholder access rights
- Document audit readiness
- Cross-reference indexing
- Change logs maintenance
- Approval tracking system
- Digital storage compliance
Module 8. Human Oversight Mechanisms
Design effective human-in-the-loop processes for AI system operations.
12 chapters in this module
- Oversight role definition
- Intervention trigger points
- Escalation thresholds
- Monitoring dashboard design
- Review frequency rules
- Decision logging
- Performance feedback loop
- Training for overseers
- Audit of oversight activity
- Process refinement cycle
- Compliance verification
- Documentation of interventions
Module 9. Performance Evaluation and Monitoring
Establish ongoing evaluation systems to ensure AI performance remains within defined parameters.
12 chapters in this module
- KPIs for AI systems
- Accuracy tracking
- Drift detection methods
- Bias monitoring
- User feedback integration
- System logging standards
- Alert threshold design
- Review meeting structure
- Remediation planning
- Performance reporting
- Benchmark comparisons
- Continuous improvement
Module 10. Internal Audit and Conformity Assessment
Prepare for and lead internal audits under ISO 42001 with confidence.
12 chapters in this module
- Audit planning
- Checklist development
- Evidence collection
- Nonconformity identification
- Root cause analysis
- Corrective action planning
- Verification of fixes
- Audit report writing
- Management review input
- Audit schedule design
- Auditor competence
- Audit trail completeness
Module 11. Continuous Improvement Processes
Embed improvement cycles into AI system governance for sustained compliance.
12 chapters in this module
- Improvement opportunity identification
- Feedback collection methods
- Trend analysis
- Action prioritization
- Change implementation
- Effectiveness verification
- Lessons learned logging
- Knowledge transfer
- Process update cycle
- Stakeholder communication
- Benchmarking against peers
- Innovation integration
Module 12. Implementation Playbook Integration
Apply all course components through a tailored, hand-built implementation playbook.
12 chapters in this module
- Playbook structure
- Customization instructions
- Template adaptation
- Team rollout strategy
- Stakeholder alignment
- Pilot project setup
- First audit preparation
- Timeline execution
- Milestone tracking
- Issue resolution path
- Success measurement
- Next cycle planning
How this maps to your situation
- System launch under new governance standard
- AI integration in regulated product delivery
- Project leadership with compliance accountability
- Cross-functional implementation oversight
Before vs. after
Before
Waiting for approval on AI system deployment decisions, relying on ad-hoc documentation, and managing fragmented oversight processes.
After
Owning scope, timeline, and control integration for AI implementations with audit-ready documentation and cross-functional authority.
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 18 hours total, designed for completion in six weeks with two 90-minute sessions per week.
If nothing changes
Without structured command, project leaders risk delays due to escalation loops, inconsistent compliance outcomes, and missed leadership opportunities in AI governance.
How this compares to the alternatives
Unlike generic AI ethics courses or broad compliance overviews, this program delivers specific, actionable control over implementation decisions under ISO 42001, with templates aligned to regulated health technology delivery cycles.
Frequently asked
Is this relevant for someone without direct AI development responsibility?
Yes. This course is designed for project leaders who govern AI integration, not build models. You'll command scope, timeline, and compliance, regardless of technical development.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this apply if my company hasn't adopted ISO 42001 yet?
Yes. You'll gain the exact documentation and control structure needed to lead adoption, positioning you as the internal expert.
$199 one-time. Approximately 18 hours total, designed for completion in six weeks with two 90-minute sessions per week..
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