A tailored course, built for your situation
Reference of choice on cross-functional AI governance calls
Become the practitioner peers turn to when ISO 42001 decisions arise
$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 software engineer transitioning into governance-critical technical leadership roles with influence across AI system design and compliance frameworks
Who this is not for
Junior developers, non-technical compliance staff, or professionals outside AI and software governance domains
What you walk away with
- Lead cross-functional discussions on AI accountability with authority
- Produce clear, ISO 42001-aligned documentation that teams adopt without friction
- Anticipate governance gaps in AI system design before they escalate
- Position yourself as the go-to resource for AI governance within technical teams
- Translate complex framework requirements into implementable engineering decisions
The 12 modules (with all 144 chapters)
Module 1. Grounding in AI governance principles
Establish baseline fluency in AI governance, focusing on fairness, transparency, and lifecycle accountability.
12 chapters in this module
- Defining AI governance
- Core pillars of trustworthy AI
- Ethical design foundations
- Stakeholder accountability
- Human oversight models
- Bias detection concepts
- Explainability expectations
- Regulatory anticipation
- Organizational alignment
- Risk tiering frameworks
- Compliance boundaries
- Governance scope definition
Module 2. ISO 42001 structure and intent
Break down the standard clause by clause to understand its practical engineering implications.
12 chapters in this module
- Scope and application
- Normative references
- Terms and definitions
- Organizational context
- Leadership commitment
- Planning process
- Support mechanisms
- Operational control
- Monitoring requirements
- Improvement cycle
- Clause dependencies
- Implementation roadmap
Module 3. Mapping ISO 42001 to software workflows
Connect control objectives to CI/CD pipelines, model validation, and release gates.
12 chapters in this module
- Version control integration
- Model registry standards
- Data provenance tracking
- Testing gate design
- Audit trail automation
- Change approval workflows
- Rollback protocols
- Environment segregation
- Access control mapping
- Code review enhancements
- Security gate alignment
- Deployment sign-off chains
Module 4. Building AI governance documentation
Create living artefacts that satisfy auditors and guide developers.
12 chapters in this module
- Policy drafting basics
- Control objective statements
- Implementation evidence
- Roles and responsibilities
- Decision logs
- Risk assessment templates
- Compliance matrices
- Version history
- Review cycles
- Stakeholder inputs
- Change logs
- Sign-off trails
Module 5. Cross-functional alignment techniques
Facilitate consensus between engineering, legal, compliance, and product teams.
12 chapters in this module
- Meeting facilitation patterns
- Stakeholder mapping
- Conflict de-escalation
- Technical translation
- Consensus tracking
- Decision ownership
- Feedback loop design
- Escalation paths
- Alignment documentation
- Progress reporting
- Status transparency
- Follow-up frameworks
Module 6. AI risk assessment execution
Run structured evaluations to classify system impact and assign controls.
12 chapters in this module
- Hazard identification
- Impact scoring model
- Likelihood assessment
- Risk matrix application
- Control selection
- Mitigation tracking
- Third-party risk
- Human oversight thresholds
- Documentation standards
- Review frequency
- Update triggers
- Audit preparation
Module 7. Documentation for audit readiness
Produce evidence that passes external review without rework.
12 chapters in this module
- Evidence collection
- Control mapping
- Policy alignment
- Process verification
- Interview preparation
- Scope definition
- Sampling strategy
- Observation logging
- Corrective action
- Management response
- Follow-up validation
- Report finalization
Module 8. AI system lifecycle governance
Embed controls from concept through decommissioning.
12 chapters in this module
- Project intake
- Feasibility analysis
- Design review
- Development standards
- Testing protocols
- Deployment checks
- Monitoring rules
- Incident response
- Update processes
- Retirement criteria
- Knowledge transfer
- Post-mortem review
Module 9. Human oversight implementation
Design effective review points for high-risk AI decisions.
12 chapters in this module
- Oversight trigger definition
- Intervention workflows
- Review frequency
- Role assignment
- Training requirements
- Escalation rules
- Decision logging
- Performance monitoring
- Feedback integration
- Audit trail maintenance
- Accountability chains
- Process improvement
Module 10. Third-party AI governance
Extend control expectations to vendors and integrators.
12 chapters in this module
- Vendor selection criteria
- Contractual obligations
- Due diligence process
- Ongoing monitoring
- Performance reviews
- Compliance verification
- Risk scoring
- Incident response
- Exit planning
- Knowledge retention
- Sub-processor oversight
- Audit rights
Module 11. Continuous improvement systems
Build feedback loops that evolve governance alongside practice.
12 chapters in this module
- Incident analysis
- Lessons learned
- Control updates
- Policy revisions
- Training refresh
- Tooling improvements
- Stakeholder feedback
- Benchmarking
- Maturity assessment
- Gap identification
- Roadmap planning
- Resource allocation
Module 12. Becoming the reference practitioner
Position yourself as the internal expert others seek out.
12 chapters in this module
- Knowledge sharing
- Mentorship models
- Internal training
- Discussion leadership
- Policy advocacy
- Cross-team visibility
- Stakeholder trust
- Consistency demonstration
- Problem anticipation
- Solution framing
- Credibility building
- Influence expansion
How this maps to your situation
- Post-incident governance review
- New AI project initiation
- Audit preparation cycle
- Cross-functional policy rollout
Before vs. after
Before
Reactive participation in AI governance discussions with limited influence
After
Proactive leadership in shaping AI system accountability and compliance
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 week over 6 weeks
How this compares to the alternatives
Unlike generic compliance courses, this is tailored to software engineers leading AI governance adoption, with direct application to ISO 42001 and real-world implementation patterns.
Frequently asked
Who is this course for?
Senior software engineers and technical leads responsible for AI system design and governance alignment.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this if my team isn’t using ISO 42001 yet?
Yes. The course prepares you to advocate for and implement the standard effectively.
$199 one-time. Approximately 3 hours per week over 6 weeks.
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