A tailored course, built for your situation
Reference of Choice on Cross-Functional ISO 42001 Reviews
Become the practitioner peers and stakeholders turn to first when implementing AI governance frameworks
$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 technical specialist in software development or systems engineering, operating in a regulated enterprise environment, focused on implementing or advising on AI governance frameworks.
Who this is not for
Entry-level developers, non-technical AI ethics advocates, or consultants without hands-on implementation experience.
What you walk away with
- Confidently lead ISO 42001 scoping sessions for AI systems across teams
- Produce audit-ready documentation that aligns with organizational standards
- Establish yourself as the internal reference for AI governance decisions
- Navigate cross-functional dependencies with clarity and authority
- Deliver implementation playbooks that persist beyond team changes
The 12 modules (with all 144 chapters)
Module 1. Foundations of ISO 42001 and AI Governance
Understand the structure and intent of ISO 42001, its relationship to other standards, and how it applies to real-world AI systems in enterprise environments.
12 chapters in this module
- What ISO 42001 governs
- Core principles of AI management systems
- Mapping ISO 42001 to software development lifecycles
- How ISO 42001 differs from SOC 2
- Key stakeholders in AI governance
- Boundary setting for AI systems
- Roles in ISO 42001 implementation
- Documentation hierarchy
- Terminology alignment across teams
- Linking controls to development workflows
- Understanding conformity assessment
- Common misinterpretations of clause 4
Module 2. Scoping AI Management Systems
Learn how to define and document the scope of an AI management system that is both compliant and practical for engineering teams.
12 chapters in this module
- Identifying AI systems in scope
- Classifying AI system types
- Determining organizational boundaries
- Documenting data flows
- Setting governance thresholds
- Involving product owners
- Handling legacy integrations
- Defining system lifecycle stages
- Exclusions with justification
- Stakeholder alignment checklist
- Version control for scope documents
- Common scope creep pitfalls
Module 3. Leadership and Accountability Frameworks
Establish clear ownership and decision rights for AI systems in line with ISO 42001 requirements.
12 chapters in this module
- Assigning top management responsibility
- Designating AI governance leads
- Creating governance charters
- Linking to existing IT leadership
- Policy endorsement workflows
- Resource allocation plans
- Performance indicators for AI governance
- Internal communication plans
- Escalation paths for non-compliance
- Roles in audit preparation
- Documentation of leadership commitment
- Integrating with existing mandates
Module 4. Risk Assessment and Controls
Apply structured risk assessment methods and select controls that align with ISO 42001 Annex A.
12 chapters in this module
- Risk identification for AI systems
- Stakeholder impact analysis
- Bias and fairness evaluation
- Transparency control selection
- Human oversight requirements
- Robustness testing thresholds
- Data quality controls
- Explainability expectations
- Third-party risk integration
- Supply chain oversight
- Cybersecurity interface
- Control implementation evidence
Module 5. Documentation and Record Keeping
Produce clear, defensible records that satisfy internal and external reviewers.
12 chapters in this module
- Required documentation list
- Statement of Applicability structure
- Control implementation records
- Version control systems
- Retention periods
- Access control for records
- Audit trail design
- Template standardization
- Cross-team documentation sync
- Automating record generation
- Review cycles for updates
- Legal hold procedures
Module 6. Internal Audit Preparation
Prepare for internal audits with confidence, ensuring all clauses are properly evidenced.
12 chapters in this module
- Audit planning calendar
- Checklist creation
- Evidence collection workflow
- Control testing methods
- Interview preparation
- Gap assessment techniques
- Remediation tracking
- Corrective action logs
- Management review inputs
- Nonconformity reporting
- Audit timeline management
- Post-audit follow-up
Module 7. Cross-Functional Collaboration
Lead effective collaboration between development, legal, compliance, and business units during ISO 42001 implementation.
12 chapters in this module
- Stakeholder mapping
- Communication protocols
- Joint decision frameworks
- Conflict resolution paths
- Feedback integration loops
- Change approval workflows
- Escalation matrices
- Cross-team playbooks
- Meeting rhythms
- Decision logging
- Role clarity in joint sessions
- Managing competing priorities
Module 8. Training and Awareness Programs
Design and deploy effective training that ensures broad understanding of AI governance requirements.
12 chapters in this module
- Audience segmentation
- Core message development
- Delivery format selection
- Training material creation
- Role-specific modules
- Frequency planning
- Comprehension testing
- Feedback mechanisms
- Attendance tracking
- Refresher cycles
- Leadership participation
- Effectiveness measurement
Module 9. Monitoring and Measurement
Implement systems to continuously monitor AI system performance and governance compliance.
12 chapters in this module
- Key performance indicators
- Control effectiveness metrics
- Bias monitoring tools
- Incident reporting systems
- Automated alerting
- Review frequency schedules
- Threshold setting
- Logging mechanisms
- Data integrity checks
- Human-in-the-loop validation
- Escalation triggers
- Reporting dashboards
Module 10. Continual Improvement Processes
Establish routines to refine AI governance practices over time.
12 chapters in this module
- Lessons learned frameworks
- Post-implementation reviews
- Feedback collection
- Root cause analysis
- Improvement backlog
- Change approval process
- Version update planning
- Stakeholder re-engagement
- Scope expansion triggers
- Technology refresh cycles
- Benchmarking against peers
- Adapting to regulatory shifts
Module 11. External Audit Readiness
Prepare fully for certification audits with organized documentation and rehearsed responses.
12 chapters in this module
- Certification body selection
- Pre-audit checklist
- Document bundling
- Interview preparation
- Evidence folder structure
- Gap remediation plan
- Mock audit execution
- Corrective action timing
- Management review minutes
- Compliance timeline
- Audit day coordination
- Post-audit follow-up
Module 12. Sustaining the AI Management System
Ensure long-term viability and relevance of the AI governance system.
12 chapters in this module
- Leadership changeover planning
- Succession for governance roles
- Documentation portability
- System revalidation cycles
- Technology migration paths
- Stakeholder continuity
- Budget alignment
- Strategic review cadence
- Market adaptation
- Lessons transfer
- Knowledge retention
- Decommissioning procedures
How this maps to your situation
- When starting ISO 42001 scoping
- During cross-functional alignment
- Before internal audit cycles
- When leadership requests governance status
Before vs. after
Before
Involved in AI governance discussions reactively, often clarifying others' assumptions or catching gaps late.
After
Peers and stakeholders proactively consult you to shape AI governance decisions, relying on your structured approach and documentation rigor.
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 just-in-time learning during active projects or governance cycles.
If nothing changes
Without a clear path to recognized expertise, AI governance contributions remain reactive, overshadowed by louder voices or delayed until compliance pressure mounts.
How this compares to the alternatives
Generic compliance courses teach principles; this course delivers actionable, ISO 42001-specific implementation patterns used by leading practitioners in regulated software environments.
Frequently asked
How is this course different from general AI ethics or governance overviews?
It focuses exclusively on ISO 42001 implementation with concrete documentation templates, scoping methods, and control mappings used in enterprise software environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me in certification audits?
Yes, every module aligns with ISO 42001 clauses and delivers documentation and artifacts that satisfy auditors’ expectations.
$199 one-time. Approximately 3 hours per module, designed for just-in-time learning during active projects or governance 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