A tailored course, built for your situation
Faster path from policy intent to working GenAI governance artefact
A 12-module course engineered for senior practitioners shipping real-world GenAI controls ahead of compliance cycles
$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 GenAI Engineer operating at the intersection of compliance frameworks and production AI systems
Who this is not for
Junior AI practitioners, compliance generalists without technical implementation experience, or those not actively shipping GenAI systems
What you walk away with
- Deploy ISO 42001-aligned AI governance controls in under 10 days
- Generate regulator-ready model documentation directly from pipeline metadata
- Convert NIST AI 100-1 principles into enforceable code policies
- Cut review cycles by reusing validated governance templates across projects
- Ship auditable data lineage as a default output of every model pipeline
The 12 modules (with all 144 chapters)
Module 1. From ISO 42001 clause to actionable control
Map high-level AI governance standards to technical requirements that developers can implement without ambiguity. Turn abstract principles into executable specs.
12 chapters in this module
- Identifying mandatory vs discretionary clauses
- Translating accountability into ownership rules
- Data provenance thresholds by impact level
- Model transparency under operational constraints
- Human oversight trigger conditions
- Bias assessment frequency by use case
- Version control for AI-generated content
- Audit trail scope per deployment tier
- Security safeguards for model weights
- Incident response escalation paths
- Performance monitoring baselines
- Complaint handling integration
Module 2. NIST AI 100-1 to code policy pipeline
Automate compliance with NIST AI guidelines using infrastructure-as-code patterns. Ensure every model meets accuracy, safety, and fairness benchmarks by default.
12 chapters in this module
- Risk categories to control mappings
- Accuracy verification thresholds
- Fairness metrics by data type
- Explainability depth per user role
- Safety testing under edge cases
- Security validation in CI/CD
- Privacy-preserving techniques
- System robustness standards
- Documentation completeness checks
- Lifecycle stage enforcement
- Model drift detection rules
- Decommissioning protocols
Module 3. Data lineage as default output
Design pipelines that generate end-to-end data provenance automatically. Eliminate manual tracing and accelerate audit readiness.
12 chapters in this module
- Input source tagging strategy
- Transformation step metadata capture
- Model version to training data link
- Feature store lineage export
- Automated SoA generation
- Cross-system traceability
- Schema change impact logging
- Data quality flag propagation
- Retention rule enforcement
- Access control inheritance
- Provenance verification method
- Regulator-facing summary export
Module 4. Model documentation automation
Generate comprehensive model cards and technical documentation directly from training runs and deployment configurations.
12 chapters in this module
- Model purpose statement templating
- Training data provenance capture
- Performance metrics by cohort
- Intended use case definition
- Known limitations catalog
- Ethical considerations checklist
- Evaluation methodology summary
- Version comparison reporting
- Stakeholder communication plan
- Retirement rationale archive
- Update impact assessment
- Compliance crosswalk table
Module 5. Policy-as-code template library
Reuse battle-tested governance modules across projects. Reduce design time and ensure consistency.
12 chapters in this module
- Access control policy snippets
- Data retention rule templates
- Encryption requirement presets
- Audit logging standards
- Anonymization thresholds
- Consent verification rules
- Third-party risk filters
- Vendor model usage policies
- Incident classification tiers
- Response playbooks by severity
- Escalation logic trees
- Review cycle automation
Module 6. Cross-functional alignment playbook
Secure buy-in from legal, security, and product teams early. Align governance with business velocity.
12 chapters in this module
- Stakeholder priority mapping
- Compliance boundary definition
- Risk ownership negotiation
- Deadline alignment techniques
- Technical debt tradeoff framing
- Audit preparedness timeline
- Change approval workflows
- Escalation path design
- Status reporting rhythm
- Feedback loop integration
- Decision log maintenance
- Conflict resolution framework
Module 7. Regulator-ready audit package
Assemble complete, defensible documentation packages on demand. Pass audits without last-minute scramble.
12 chapters in this module
- Required artefact checklist
- Evidence retention policy
- Version control snapshotting
- Control implementation proof
- Third-party attestation handling
- Gap remediation tracking
- Timeline of compliance efforts
- Personnel responsibility log
- Training completion records
- Incident response documentation
- Lessons learned repository
- Improvement roadmap inclusion
Module 8. Governance-aware CI/CD pipeline
Integrate compliance checks directly into development workflows. Catch issues before deployment.
12 chapters in this module
- Pre-commit hook validation
- Automated policy scanning
- Model card generation trigger
- Lineage capture in training job
- Bias scan at inference time
- Security scan in staging
- Compliance gate logic
- Rollback condition rules
- Drift monitoring setup
- Human-in-the-loop insertion
- Approval capture in pipeline
- Audit log export config
Module 9. Model risk tiering framework
Classify models by impact and automate control application. Focus effort where it matters most.
12 chapters in this module
- Financial impact scoring
- Reputational risk levels
- Privacy sensitivity bands
- Operational criticality rating
- Regulatory scrutiny index
- Autonomy degree classification
- Error consequence matrix
- Redress mechanism mapping
- Monitoring intensity rules
- Review frequency schedule
- Documentation depth levels
- Escalation path assignment
Module 10. Vendor model governance
Extend your standards to third-party and open-source models. Maintain control even when you don’t build from scratch.
12 chapters in this module
- Vendor due diligence checklist
- Model provenance inquiry
- Transparency assessment
- License compatibility check
- Security vulnerability scan
- Bias testing protocol
- Performance validation method
- Support responsiveness test
- Customization capability review
- Exit strategy evaluation
- Integration risk analysis
- Ongoing monitoring plan
Module 11. Incident response for GenAI systems
Respond effectively to model failures, misuse, or unexpected behavior. Document and improve.
12 chapters in this module
- Incident classification tiers
- Detection mechanism setup
- Initial triage procedure
- Stakeholder notification plan
- Containment strategy options
- Root cause analysis method
- Remediation tracking
- User impact mitigation
- Regulatory reporting triggers
- Post-mortem process
- System hardening actions
- Knowledge base update
Module 12. Governance velocity metrics
Measure and improve how fast you deliver compliant systems. Turn governance into a competitive advantage.
12 chapters in this module
- Policy to artefact cycle time
- Review cycle duration
- Defect escape rate
- Compliance debt backlog
- Automated check coverage
- Stakeholder satisfaction
- Audit finding recurrence
- Remediation speed
- Template reuse rate
- Training completion time
- Incident resolution time
- Framework update lag
How this maps to your situation
- When starting a new GenAI project with compliance requirements
- Before audit season or regulatory engagement
- After a model incident or near-miss
- During platform or framework upgrade
Before vs. after
Before
Manual translation of compliance goals into technical controls, inconsistent artefacts, last-minute audit scrambles
After
Automated, repeatable delivery of governance-integrated GenAI systems with full documentation from day one
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 alongside active projects.
How this compares to the alternatives
Unlike generic AI ethics courses or abstract compliance training, this program delivers reusable implementation patterns for senior engineers who must ship governed systems now.
Frequently asked
Is this course technical or strategic?
It's technical with strategic impact, written for engineers who must implement governance, not just discuss it.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me pass an audit?
Yes, the course teaches how to generate the exact artefacts auditors expect, on demand.
$199 one-time. Approximately 3 hours per module, designed to be completed alongside active projects..
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