A tailored course, built for your situation
Mastering ISO 42001 for Senior IT Developers in EHS Systems
Build recognized expertise in the emerging standard shaping AI governance across regulated sectors
$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.
Being overlooked despite deep technical work
Who this is for
Senior developer in EHS or compliance-adjacent systems with 7+ years of delivery experience, now seeking broader influence
Who this is not for
Entry-level coders, consultants selling ISO 42001 audits, or executives seeking board-level summaries
What you walk away with
- Produce system documentation that gets cited in compliance reviews
- Answer cross-team queries on AI governance with framework-backed confidence
- Present design decisions using ISO 42001 control language that leadership trusts
- Become the first call when internal teams interpret AI governance requirements
- Ship code that auditors accept on first pass due to clear control alignment
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 42001 and Its Role in AI Governance
Lay the foundation of ISO 42001, its structure, and how it differs from other ISO standards you may know. Learn where it fits in EHS system development.
12 chapters in this module
- What ISO 42001 solves
- Core principles of AI governance
- How ISO 42001 complements ISO 27001
- Scope definition for custom developers
- AI systems lifecycle overview
- Mapping controls to .NET architecture
- Regulatory drivers in North America
- Documentation expectations
- Internal audit readiness level
- Stakeholder expectations
- Timeline for implementation
- Common misconceptions
Module 2. Scoping AI Systems in EHS Applications
Define the boundaries of AI systems within your existing EHS platforms using ISO 42001 scoping rules.
12 chapters in this module
- Identifying AI components
- Legacy integration points
- User interaction mapping
- Data flow boundaries
- Exclusion justification
- Risk-based scope decisions
- Stakeholder alignment on scope
- Documentation format
- Version control for scope
- Audit trail requirements
- Scope change process
- Integration with change management
Module 3. Leadership and Organizational Context
Align technical work with leadership expectations and organizational governance structures.
12 chapters in this module
- Defining organizational context
- Identifying interested parties
- Establishing governance roles
- Top management engagement
- Policy linkage
- Resource allocation decisions
- Accountability mapping
- Escalation paths
- Cross-functional coordination
- Compliance ownership
- Internal communication strategy
- Management review inputs
Module 4. Planning AI Risk Assessments
Apply ISO 42001 risk methodology to your current systems with concrete examples from EHS software environments.
12 chapters in this module
- Risk assessment framework
- Threat modeling for AI
- Bias detection methods
- Data quality risks
- Model drift monitoring
- Third-party AI components
- Human oversight gaps
- Legal and regulatory risks
- Risk tolerance levels
- Risk treatment planning
- Documenting risk decisions
- Audit trail for assessments
Module 5. Designing with Controls in Mind
Embed ISO 42001 controls directly into architecture and code design decisions.
12 chapters in this module
- Control mapping to design phase
- Secure coding for AI
- Transparency by design
- Human oversight integration
- Data provenance tracking
- Model versioning
- Input validation rules
- Output explainability
- Monitoring design
- Fail-safe mechanisms
- Update approval workflow
- DevOps integration
Module 6. Documentation for Compliance
Create documentation that satisfies auditors while remaining useful to developers.
12 chapters in this module
- Required documents list
- Statement of Applicability
- Control implementation records
- Risk assessment reports
- Design rationale templates
- Audit preparation checklist
- Version-controlled artefacts
- Internal review process
- Document retention rules
- Cross-reference methods
- Automation opportunities
- Living documentation
Module 7. Vendor and Third-Party Management
Extend control expectations to external AI components and integrations.
12 chapters in this module
- Vendor selection criteria
- Contractual obligations
- Third-party risk assessment
- API security controls
- Model licensing terms
- Update management
- Performance monitoring
- Exit strategy planning
- SLA alignment
- Audit rights
- Subprocessor oversight
- Incident response coordination
Module 8. Human-AI Interaction Principles
Design interfaces and workflows that maintain human oversight.
12 chapters in this module
- Role definition for oversight
- User training requirements
- Decision justification
- Override mechanisms
- Feedback loops
- Error reporting design
- Alert fatigue prevention
- Contextual guidance
- Accessibility considerations
- Multilingual support
- User proficiency levels
- Change management impact
Module 9. Monitoring and Performance Evaluation
Set up ongoing monitoring that satisfies ISO 42001 and improves system reliability.
12 chapters in this module
- KPIs for AI systems
- Model performance tracking
- Bias detection in production
- Drift detection frequency
- Human oversight metrics
- Incident logging
- System availability monitoring
- User feedback collection
- Automated alerting
- Periodic review schedule
- Reporting formats
- Audit trail inspection
Module 10. Internal Audit and Conformance
Prepare for internal audits with real-world checklists and common findings.
12 chapters in this module
- Audit planning
- Checklist design
- Evidence collection
- Interview preparation
- Common non-conformities
- Corrective action process
- Management review input
- Audit independence
- Sampling methods
- Documentation walkthroughs
- Readiness assessment
- Closing meeting structure
Module 11. Continuous Improvement Cycles
Turn audit findings and monitoring data into actionable system upgrades.
12 chapters in this module
- Identifying improvement areas
- Root cause analysis
- Change approval workflow
- Version update process
- User communication
- Training updates
- Policy alignment
- Control effectiveness
- Feedback loop design
- Lessons learned
- Knowledge transfer
- Documentation updates
Module 12. Scaling Recognized Expertise Across Teams
Turn individual mastery into team-wide influence and reduce duplication.
12 chapters in this module
- Mentorship strategies
- Internal training sessions
- Playbook creation
- Knowledge sharing
- Cross-team coordination
- Standard pattern development
- Tooling recommendations
- Code template adoption
- Documentation standards
- Compliance onboarding
- Succession planning
- External recognition
How this maps to your situation
- When scoping a new EHS AI module
- During risk assessment for compliance renewal
- Before architecture review with senior leads
- After audit findings require design changes
Before vs. after
Before
Working in the background without formal recognition for governance expertise
After
Regularly consulted by peers and leads on ISO 42001 implications in new designs
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 3-4 hours per module, designed to be consumed incrementally alongside regular work.
If nothing changes
Continuing to deliver strong technical work that gets absorbed without elevating your visibility or influence in governance conversations.
How this compares to the alternatives
Unlike generic compliance courses, this is tailored to developers in EHS environments, with direct application to .NET systems and real implementation patterns.
Frequently asked
Is this relevant if I’m not in a formal AI role?
Yes. If your systems make decisions or use predictive logic, ISO 42001 applies, and this course shows you how to align your work.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me get certified?
It prepares you to implement ISO 42001 thoroughly, which supports certification efforts, though it is not a certification prep course.
$199 one-time. Approximately 3-4 hours per module, designed to be consumed incrementally alongside regular work..
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