A tailored course, built for your situation
Deeper command of AI governance frameworks for marketing practitioners
Name the standard. Own the methodology. Lead the rollout.
$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
Marketing specialist in a technical enterprise environment, translating complex AI and data governance concepts into clear messaging and campaign assets, often bridging between product, compliance, and customer-facing teams.
Who this is not for
This is not for compliance officers building audit controls, data scientists implementing model cards, or legal teams drafting AI policies. It's for marketing practitioners who need to speak governance fluently to lead adoption.
What you walk away with
- Command of NIST AI RMF structure, intent, and implementation touchpoints
- Ability to map marketing campaign workflows to governance framework requirements
- Fluency in OECD AI Principles and how they shape customer messaging
- Templates for governance-aligned campaign briefs and stakeholder alignment
- Precedents and examples to confidently lead internal discussions on AI ethics and compliance
The 12 modules (with all 144 chapters)
Module 1. AI governance landscape for marketers
Overview of major frameworks shaping enterprise AI adoption, with emphasis on how marketing teams engage with them.
12 chapters in this module
- What AI governance means for marketing
- NIST AI RMF: Core functions
- OECD AI Principles: Five pillars
- ISO/IEC 42001: Scope and relevance
- EU AI Act: Marketing implications
- FTC guidance on AI claims
- Databricks’ Trust Charter alignment
- Customer trust as KPI
- Governance as brand strength
- Frameworks vs. regulations
- Marketing’s role in adoption
- Terminology fluency checklist
Module 2. NIST AI RMF: Govern function
Deep dive into the Govern function, with focus on how marketing inputs shape risk thresholds and oversight mechanisms.
12 chapters in this module
- Govern function purpose
- Risk management culture
- Internal communication flows
- Marketing's input to risk policy
- Stakeholder mapping
- Escalation pathways
- Documentation standards
- Audit trail expectations
- Cross-functional coordination
- Policy exception process
- Update cycles
- Govern function playbook
Module 3. NIST AI RMF: Map function
How to map campaign data flows and model use cases to AI risk categories and tiers.
12 chapters in this module
- Map function overview
- AI risk taxonomy
- Use case classification
- Data lineage basics
- Model purpose clarity
- Stakeholder impact levels
- Risk tier assignment
- Marketing data categories
- Third-party content risks
- Customer-facing AI features
- Risk mapping worksheet
- Tier justification examples
Module 4. NIST AI RMF: Measure function
Understanding evaluation metrics and validation methods used in AI governance, and how marketing can interpret and communicate them.
12 chapters in this module
- Measure function goals
- Performance metrics explained
- Bias detection methods
- Transparency benchmarks
- Human oversight mechanisms
- Post-deployment monitoring
- Feedback loop design
- Customer complaint pathways
- Marketing’s role in feedback
- KPI alignment
- Validation reporting
- Measure function glossary
Module 5. NIST AI RMF: Manage function
How marketing contributes to risk treatment decisions and mitigation planning across the campaign lifecycle.
12 chapters in this module
- Manage function purpose
- Risk treatment options
- Mitigation planning
- Contingency messaging
- Incident response coordination
- Stakeholder notification
- Reputation risk assessment
- Content rollback procedures
- Crisis comms alignment
- Vendor risk oversight
- Post-mortem participation
- Manage playbook template
Module 6. OECD AI Principles in practice
Applying the five OECD principles to marketing content, customer engagement, and brand positioning.
12 chapters in this module
- Principle 1: Inclusive growth
- Principle 2: Human-centered values
- Principle 3: Transparency
- Principle 4: Robustness
- Principle 5: Accountability
- Messaging alignment checks
- Customer consent standards
- Explainability in ads
- Bias disclosure norms
- Trust signal design
- Case study: Ethical AI launch
- OECD alignment scorecard
Module 7. ISO/IEC 42001: Marketing integration
How AI Management Systems standard applies to campaign design, asset creation, and go-to-market planning.
12 chapters in this module
- AIMS standard overview
- Scope definition
- Leadership commitment
- Policy documentation
- Planning requirements
- Support functions
- Campaign risk assessment
- Resource allocation
- Performance evaluation
- Continuous improvement
- Audit readiness
- Marketing checklist
Module 8. EU AI Act: Marketing compliance
Understanding high-risk classification, transparency obligations, and prohibited practices relevant to customer communications.
12 chapters in this module
- Title I: Scope
- High-risk AI systems
- Transparency requirements
- Prohibited practices
- Chatbot disclosures
- Deepfake labeling
- Personalization limits
- Children’s protections
- Customer rights
- Enforcement timeline
- Compliance evidence
- Marketing impact matrix
Module 9. Governance-aligned campaign briefs
Building campaign briefs that proactively integrate governance requirements and reduce rework.
12 chapters in this module
- Brief structure
- Objective governance check
- Target audience risk
- Channel compliance
- Content review workflow
- Stakeholder sign-off
- Model usage disclosure
- Bias mitigation plan
- Feedback mechanism
- KPIs with guardrails
- Approval trail
- Brief template
Module 10. Internal stakeholder alignment
Facilitating alignment between marketing, product, legal, and compliance on AI governance expectations.
12 chapters in this module
- Stakeholder map
- Governance champions
- Cross-functional meetings
- Decision log
- Escalation paths
- Consensus building
- Conflict resolution
- Documentation standards
- Meeting cadence
- Action item tracking
- Alignment scorecard
- Internal playbook
Module 11. Customer trust narratives
Crafting messaging that reflects governance depth without overpromising or oversimplifying.
12 chapters in this module
- Trust as differentiator
- Claim substantiation
- Technical accuracy
- Plain language translation
- Risk acknowledgment
- Transparency balance
- Case study: Responsible AI campaign
- Customer Q&A prep
- Review cycle
- Feedback integration
- Trust metrics
- Narrative template
Module 12. Leading governance adoption
Positioning yourself as the internal expert who can guide teams through framework adoption and campaign integration.
12 chapters in this module
- Adoption barriers
- Change management
- Pilot programs
- Success stories
- Training materials
- Resource hub
- Feedback loop
- Metrics of influence
- Recognition pathways
- Leadership visibility
- Next-gen frameworks
- Your governance roadmap
How this maps to your situation
- When launching an AI-powered campaign
- When aligning with compliance teams
- When responding to customer inquiries
- When building internal trust
Before vs. after
Before
Relying on secondhand summaries of AI governance standards and reactive alignment with compliance teams.
After
Commanding the full structure and intent of NIST, OECD, and ISO frameworks, able to lead discussions and shape adoption in marketing contexts.
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 3-4 hours per module, with self-paced progression and just-in-time reference materials.
How this compares to the alternatives
Unlike generic AI ethics courses, this program is tailored to marketing practitioners, with concrete templates, campaign-specific examples, and direct application to Databricks-scale AI governance expectations.
Frequently asked
Is this course technical?
No. It's designed for non-technical practitioners who need to engage fluently with AI governance frameworks in marketing and customer-facing roles.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I access the templates separately?
Yes. All templates and the implementation playbook are downloadable upon enrollment.
$199 one-time. Approximately 3-4 hours per module, with self-paced progression and just-in-time reference materials..
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