A tailored course, built for your situation
Influence in AI Governance Decisions with ISO 42001
Shape technical direction and vendor choices through proven 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 individual contributor in data or AI platform delivery, embedded in global technical teams, with growing influence in framework and vendor decisions
Who this is not for
Individuals seeking entry-level compliance training or general awareness of AI ethics without decision-making context
What you walk away with
- Lead AI governance discussions with confidence using ISO 42001 as a decision-making anchor
- Influence vendor selection by applying structured criteria from the standard
- Shape technical architecture reviews with documented governance requirements
- Drive consensus in cross-functional meetings using standardized control language
- Position yourself as the go-to practitioner for AI governance in strategic planning cycles
The 12 modules (with all 144 chapters)
Module 1. Why ISO 42001 is gaining traction in AI delivery
Understand how ISO 42001 bridges technical implementation and governance expectations in AI systems. Explore real-world adoption patterns across cloud and data platforms.
12 chapters in this module
- What sets ISO 42001 apart
- AI governance vs AI ethics
- Vendor neutrality by design
- Mapping to technical roles
- Signal from standards bodies
- How cloud platforms adopt it
- Early adopter patterns
- Regulatory anticipation
- Internal audit readiness
- Decision-making structure
- Cross-functional alignment
- First-mover advantage
Module 2. Anatomy of an AI governance decision
Break down actual decisions in AI deployment where governance input changes outcomes. Focus on vendor selection, data sourcing, and model review gates.
12 chapters in this module
- Vendor sign-off moment
- Data provenance review
- Model validation gate
- Architecture review board
- Cross-team escalation
- Documentation standard
- Risk rating application
- Policy exemption path
- Stakeholder mapping
- Decision trail capture
- Escalation criteria
- Pre-review checklist
Module 3. Building governance influence without authority
Leverage ISO 42001 to earn a seat in technical discussions without formal mandate. Use framework language to guide peers and stakeholders.
12 chapters in this module
- Speaking to engineers
- Framing controls as enablers
- Using the standard as neutral ground
- Pre-meeting alignment
- Reference document power
- Cold-start influence
- Peer credibility builders
- Asking better questions
- Positioning over pushing
- Documenting rationale
- Feedback loop design
- Escalation timing
Module 4. ISO 42001 control mapping for AI systems
Apply the standard’s controls to real AI workloads. Translate high-level requirements into technical specs and review criteria.
12 chapters in this module
- Control A.8.1 application
- Human oversight design
- Accuracy monitoring
- Bias assessment timing
- Transparency documentation
- Training data controls
- Model update review
- Incident response link
- Versioning standards
- Audit trail specs
- Access control alignment
- Third-party vendor checks
Module 5. Running an internal ISO 42001 assessment
Lead a lightweight assessment to demonstrate value without bureaucracy. Focus on decision impact, not checkbox compliance.
12 chapters in this module
- Scoping the pilot
- Team selection criteria
- Stakeholder onboarding
- Timeline design
- Evidence collection
- Interview question set
- Finding severity tiers
- Reporting to peers
- Lessons documented
- Improvement backlog
- Quick wins list
- Next phase criteria
Module 6. Vendor governance using ISO 42001
Evaluate third-party AI tools and platforms using the standard’s controls. Build a repeatable review process.
12 chapters in this module
- RFP integration
- Question set design
- Scoring rubric
- Proof of concept gate
- Security posture check
- Model explainability bar
- Data ownership clarity
- Update frequency review
- Support responsiveness
- Compliance documentation
- Roadmap alignment
- Exit strategy check
Module 7. Designing AI governance into delivery workflows
Embed governance checkpoints into existing delivery cycles. Focus on minimal friction and maximum decision clarity.
12 chapters in this module
- Sprint planning gate
- Design doc checkpoint
- PR review annotation
- Testing phase trigger
- Staging approval
- Go-live checklist
- Post-mortem integration
- Feedback collection
- Process ownership
- Tooling support
- Automated reminders
- Metrics tracking
Module 8. Communicating governance impact to leadership
Frame governance work in terms that resonate with technical leaders, risk reduction, velocity, and decision clarity.
12 chapters in this module
- Avoiding compliance framing
- Velocity arguments
- Risk profile reduction
- Decision clarity gain
- Crisis prevention
- Reputation protection
- Team empowerment
- Cost avoidance
- Audit readiness
- Strategic alignment
- Future-proofing
- Case study format
Module 9. Integrating ISO 42001 with other standards
Align ISO 42001 with NIST AI RMF, SOC 2, and GDPR where applicable. Avoid redundancy and build coherent governance.
12 chapters in this module
- Overlap identification
- Control consolidation
- Evidence sharing
- Audit streamlining
- Team communication
- Framework prioritization
- Cross-standard mapping
- Policy harmonization
- Training efficiency
- Update coordination
- Gap analysis
- Leadership update
Module 10. Building a personal governance practice
Develop repeatable methods and artifacts that grow your influence over time. Focus on documentation, patterns, and peer recognition.
12 chapters in this module
- Playbook development
- Template library
- Case study bank
- Peer network
- Internal talks
- Blog post series
- Mentorship role
- Feedback loop
- Recognition tracking
- Skill demonstration
- Portfolio building
- Growth planning
Module 11. Scaling governance influence across teams
Expand your impact by training peers and embedding practices across delivery pods. Focus on consistency and autonomy.
12 chapters in this module
- Pilot team selection
- Training approach
- Mentor network
- Common language
- Tool standardization
- Cross-team sync
- Success metrics
- Feedback sharing
- Iteration cycle
- Recognition program
- Leadership briefing
- Sustainability plan
Module 12. Maintaining influence through change
Keep governance relevant as technology, teams, and priorities shift. Build adaptive, durable practices.
12 chapters in this module
- Framework refresh cycle
- Team turnover plan
- Technology shift prep
- Priority change response
- New leadership onboarding
- External threat monitoring
- Internal audit readiness
- Stakeholder re-engagement
- Knowledge transfer
- Successor development
- Lessons archive
- Next evolution
How this maps to your situation
- Before a vendor review cycle
- During technical architecture planning
- After a cross-functional misalignment
- Ahead of internal audit
Before vs. after
Before
Governance discussions feel reactive, ad hoc, or outside your scope of influence
After
You lead with a structured, recognized standard and shape decisions before they solidify
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 consumed in parallel with active projects.
If nothing changes
Without a recognized framework, influence in AI governance decisions will remain situational and dependent on individual relationships rather than durable capability.
How this compares to the alternatives
Most courses teach AI ethics or compliance checklists. This course teaches how to use ISO 42001 as a practical tool for influencing real decisions in technical delivery.
Frequently asked
Who is this course for?
Senior individual contributors and technical leads who want to shape AI governance decisions using a recognized international standard.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover Databricks or other platforms?
No. The course focuses on ISO 42001 as a vendor-neutral governance framework applicable across technical environments.
$199 one-time. Approximately 3 hours per module, designed to be consumed in parallel with 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