A tailored course, built for your situation
Direct influence on AI governance framework decisions
Shape technical direction and vendor selection from first principle positions in AI policy
$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 practitioner in AI governance or policy, contributing to framework adoption, vendor evaluation, or technical direction within a data or AI platform organization
Who this is not for
Those seeking introductory overviews of AI ethics or high-level compliance awareness without decision-making leverage
What you walk away with
- Own the AI governance decision narrative in cross-functional discussions
- Drive vendor evaluation criteria using ISO 42001 control priorities
- Contribute directly to internal framework adaptation with policy-to-implementation clarity
- Gain peer recognition as the reference voice in AI governance escalations
- Document influence pathways that persist beyond team reorgs or leadership changes
The 12 modules (with all 144 chapters)
Module 1. Positioning ISO 42001 in real-world AI systems
Understand how ISO 42001 aligns with current AI deployments, focusing on roles, accountability, and technical documentation requirements
12 chapters in this module
- AI system life cycle stages
- Human oversight definitions
- Management commitment expectations
- Transparency in AI documentation
- Internal audit preparation
- Conformity assessment routes
- Role of risk management
- Accountability structure mapping
- Policy integration techniques
- Resource allocation for compliance
- Competence criteria for team members
- Continuous improvement triggers
Module 2. Mapping controls to data pipeline decisions
Apply ISO 42001 controls to data ingestion, transformation, and cataloging choices in modern data environments
12 chapters in this module
- Data quality monitoring points
- Data lineage documentation
- Bias assessment timing
- Data retention rules
- Training data provenance
- Anonymization thresholds
- Versioning data sets
- Access control on data sources
- Data drift detection
- Data dependency tracking
- Validation rule enforcement
- Model feedback loops
Module 3. Influence through vendor evaluation design
Shape how AI tools are assessed by embedding ISO 42001 criteria into RFPs, pilots, and technical reviews
12 chapters in this module
- Scoring AI explainability
- Third-party audit readiness
- Vendor documentation depth
- Change management processes
- Incident reporting expectations
- System monitoring capabilities
- Performance benchmarking
- Security integration points
- API transparency levels
- Model version control support
- Bias testing frequency
- Retraining workflows
Module 4. Designing internal framework adaptations
Customize ISO 42001 for organizational context without losing auditability or stakeholder trust
12 chapters in this module
- Scoping AI system boundaries
- Tailoring control applicability
- Documenting rationale for exclusions
- Scaling controls by risk tier
- Integrating with NIST AI RMF
- Crosswalking to OECD AI Principles
- Policy exception processes
- Leadership sign-off workflows
- Internal audit alignment
- Update cycle governance
- Stakeholder feedback loops
- Compliance evidence packaging
Module 5. Building authoritative position in peer review
Use ISO 42001 language and structure to assert clarity in technical design discussions and policy debates
12 chapters in this module
- Framing feedback with control references
- Preempting objections with evidence paths
- Positioning trade-offs using risk tiers
- Using terminology consistently
- Preparing for escalation scenarios
- Referencing audit outcomes
- Documenting decision rationales
- Challenging assumptions respectfully
- Aligning across engineering domains
- Negotiating scope boundaries
- Balancing speed and compliance
- Earning repeat consults
Module 6. Shaping strategic AI direction
Guide roadmap decisions by linking business goals to ISO 42001 implementation timelines and maturity levels
12 chapters in this module
- AI use case prioritization
- Risk-based rollout sequencing
- Maturity model development
- Stakeholder communication plans
- Budget justification frameworks
- Resource allocation models
- Dependency mapping
- Governance integration points
- Innovation constraints definition
- Compliance threshold setting
- Success metric selection
- Adoption incentive design
Module 7. Driving compliance through implementation artefacts
Create reusable documentation templates and checklists that align with ISO 42001 requirements
12 chapters in this module
- AI system registry format
- Risk assessment worksheet
- Human oversight logs
- Model validation reports
- Incident response forms
- Audit trail structure
- Control effectiveness metrics
- Policy exception tracking
- Training completion records
- System update logs
- Bias monitoring dashboards
- Compliance status summaries
Module 8. Establishing credibility in cross-functional calls
Position yourself as the go-to voice in AI governance by referencing standard-backed reasoning and real examples
12 chapters in this module
- Speaking to legal teams effectively
- Translating tech for executives
- Aligning with product managers
- Collaborating with data scientists
- Engaging procurement teams
- Working with security officers
- Presenting to ESG reviewers
- Handling media inquiries
- Responding to audits
- Facilitating working groups
- Mediating disputes
- Documenting consensus
Module 9. Anticipating regulatory shifts with foresight
Use ISO 42001 as a foundation to prepare for evolving AI laws and jurisdictional requirements
12 chapters in this module
- Tracking EU AI Act developments
- Monitoring US state-level AI laws
- Assessing UK regulatory trends
- Evaluating Asian market rules
- Crosswalking to GDPR AI implications
- Preparing for sector-specific rules
- Engaging with standards bodies
- Participating in public consultations
- Benchmarking against global peers
- Identifying compliance gaps early
- Adjusting control scope proactively
- Updating documentation in cycles
Module 10. Embedding governance into development workflows
Integrate ISO 42001 controls into CI/CD pipelines and developer tooling for sustained compliance
12 chapters in this module
- Automated policy checks
- Pre-commit hooks for AI
- Model card generation
- Dataset documentation automation
- Bias detection in training
- Explainability integration
- Version control for models
- Model registry enforcement
- Access control in pipelines
- Audit logging configuration
- Drift monitoring alerts
- Remediation playbooks
Module 11. Scaling influence across teams and regions
Extend your governance impact beyond immediate teams using repeatable processes and shared frameworks
12 chapters in this module
- Global consistency strategies
- Local adaptation rules
- Centralized oversight models
- Regional champion networks
- Training program design
- Knowledge sharing mechanisms
- Feedback collection systems
- Compliance dashboards
- Escalation routing rules
- Cross-team alignment workshops
- Version control for policies
- Language localization paths
Module 12. Sustaining influence through leadership changes
Ensure your governance contributions endure by institutionalizing practices and documentation
12 chapters in this module
- Creating living policy documents
- Documenting rationale trails
- Building onboarding materials
- Establishing review cycles
- Archiving deprecated controls
- Transferring ownership smoothly
- Maintaining audit trails
- Updating for new regulations
- Preserving institutional memory
- Linking to performance goals
- Integrating into promotion criteria
- Celebrating governance wins
How this maps to your situation
- When shaping AI vendor selection criteria
- Before internal framework adoption debates
- During cross-functional AI project kickoff
- After new regulatory scrutiny emerges
Before vs. after
Before
Contributing to AI governance discussions without full leverage on final decisions
After
Being the reference point for AI governance choices across teams and functions
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 practitioners to complete one module per week while maintaining regular work responsibilities.
If nothing changes
Without structured influence, even strong technical insights may be overlooked in favor of louder voices or simpler narratives , slowing adoption of sound practices and limiting career impact.
How this compares to the alternatives
Unlike generic AI ethics courses or broad compliance overviews, this program focuses specifically on gaining decision-making influence through ISO 42001 , combining concrete control mapping, peer review positioning, and vendor evaluation design.
Frequently asked
Is this course technical or policy-focused?
It bridges both: we teach how to apply ISO 42001 controls to technical decisions while equipping you to lead policy discussions with authority.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me get promoted?
The course builds influence and visibility , key drivers of advancement , by helping you own critical AI governance decisions and become the go-to voice across teams.
$199 one-time. Approximately 3 hours per module, designed for practitioners to complete one module per week while maintaining regular work responsibilities..
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