A tailored course, built for your situation
Faster path from NIST AI RMF intent to working governance artefact
Build repeatable AI governance workflows that cut deployment cycles in half
$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.
Spending weeks translating NIST AI RMF guidance into deployable controls
The situation this course is for
Most AI governance programs stall in translation, frameworks collect dust while teams ship code. The gap between policy intent and working implementation creates rework, delays, and misalignment.
Who this is for
Lead Data Architect or AI Governance Lead translating NIST AI RMF into engineering workflows
Who this is not for
Individuals seeking introductory AI ethics overviews or theoretical AI safety debates
What you walk away with
- Produce NIST AI RMF-aligned governance artefacts in under 5 days
- Reduce control implementation review time by 50%
- Standardize cross-functional workflows for repeatable use
- Ship working SoA documents aligned to NIST AI RMF functions
- Confidently lead AI governance sprints without external consultants
The 12 modules (with all 144 chapters)
Module 1. NIST AI RMF Core Functions Deep Dive
Break down Govern, Map, Measure, Manage into engineering-actionable components. Align each function to data architecture patterns and control delivery lanes.
12 chapters in this module
- Govern function essentials
- Map function workflow links
- Measure function triggers
- Manage function handoffs
- Function-to-team alignment
- Control lifecycle timing
- AI use case prioritization
- Risk threshold definition
- Governance sprint planning
- Framework version tracking
- Cross-functional sync points
- Implementation checklist build
Module 2. From Framework to First Artefact
Build your first working SoA in under 72 hours. Use pre-built templates tied directly to NIST AI RMF functions.
12 chapters in this module
- SoA starter template use
- Control gap identification
- Baseline risk mapping
- Architecture diagram linking
- Stakeholder input capture
- Version control setup
- Automated checklist generation
- Review cycle planning
- Feedback loop design
- Approval path mapping
- First draft sign-off
- Artifact refinement loop
Module 3. Governance Workflow Acceleration
Cut review time in half by standardizing workflows. Use time-tested patterns from regulated AI deployments.
12 chapters in this module
- Review time benchmarking
- Stakeholder mapping
- Feedback timing rules
- Parallel review design
- Automated reminder setup
- Version diff tracking
- Approval delegation rules
- Escalation path build
- Comment resolution workflow
- Audit trail creation
- Status dashboard setup
- Cycle time reporting
Module 4. Control Implementation Patterns
Deploy NIST AI RMF controls using proven engineering patterns. Avoid reinventing the wheel on data quality, bias detection, and model lineage.
12 chapters in this module
- Data quality control pattern
- Bias detection integration
- Model card automation
- Lineage tracking setup
- Versioned control library
- Control testing protocol
- Failure mode anticipation
- Recovery playbook build
- Monitoring alert rules
- Control drift detection
- Update cycle planning
- Deprecation workflow
Module 5. Cross-Team Alignment Without Friction
Get data science, ML engineering, and security on the same page using shared templates and decision logs.
12 chapters in this module
- Team boundary mapping
- Shared decision log setup
- Cross-functional RACI
- Joint sprint planning
- Conflict resolution protocol
- Escalation triage
- Change notification rules
- Status sync cadence
- Documentation standards
- Toolchain alignment
- Dependency tracking
- Joint approval workflows
Module 6. Automated Evidence Collection
Generate audit-ready outputs automatically. Reduce manual evidence gathering from days to minutes.
12 chapters in this module
- Evidence requirement mapping
- Automated report triggers
- Log integration setup
- Data retention rules
- Access control logging
- Change detection alerts
- Versioned evidence archive
- Audit trail formatting
- Compliance dashboard build
- Stakeholder report automation
- Evidence retention policy
- Deletion workflow
Module 7. Repeatable Governance Playbook
Turn one-off wins into institutional knowledge. Build a living playbook that survives team changes.
12 chapters in this module
- Playbook structure design
- Version control setup
- Change approval rules
- Ownership assignment
- Update cycle planning
- Searchable index build
- Onboarding integration
- Feedback incorporation
- Review cycle schedule
- Archival workflow
- Exception handling
- Success metric tracking
Module 8. Scaling Governance Across AI Projects
Replicate proven governance workflows across teams. Avoid rebuilding from scratch on every initiative.
12 chapters in this module
- Project intake process
- Governance baseline setup
- Tiered control assignment
- Risk-based customization
- Template library build
- Onboarding automation
- Progress tracking
- Health check cadence
- Cross-project benchmarking
- Resource allocation model
- Scaling pain point log
- Optimization backlog
Module 9. Vendor Governance Integration
Align third-party tools and models to NIST AI RMF without slowing delivery. Use pre-built vendor assessment templates.
12 chapters in this module
- Vendor intake workflow
- Assessment template use
- Risk scoring model
- Due diligence checklist
- Contract alignment
- Evidence collection
- Ongoing monitoring
- Performance benchmarks
- Exit planning
- Liability mapping
- Compliance gap tracking
- Renewal prep
Module 10. Executive Communication That Lands
Translate technical governance work into business outcomes. Get faster sign-off from leadership.
12 chapters in this module
- Outcome framing
- Risk translation
- Business impact mapping
- Executive summary build
- Visual dashboard design
- Narrative consistency
- Anticipating pushback
- Stakeholder tailoring
- Update cadence
- Escalation prep
- Success celebration
- Lessons documented
Module 11. Governance Sprint Execution
Run two-week sprints to ship governance artefacts. Use agile methods tailored to compliance outcomes.
12 chapters in this module
- Sprint goal setting
- Backlog refinement
- Daily standup rhythm
- Artifact review timing
- Stakeholder demos
- Retrospective format
- Velocity tracking
- Debt logging
- Dependency management
- Cross-team coordination
- Tooling alignment
- Outcome reporting
Module 12. Sustaining Governance Momentum
Keep governance moving without burnout. Build routines that maintain quality without slowing innovation.
12 chapters in this module
- Burnout signal detection
- Workload balancing
- Automation investment
- Team rotation plan
- Knowledge transfer
- Tooling upgrades
- Process refinement
- Stakeholder check-ins
- Outcome review rhythm
- Innovation protection
- Celebration rituals
- Continual improvement
How this maps to your situation
- After securing leadership buy-in for NIST AI RMF
- During first AI governance sprint planning
- When onboarding new AI projects
- Before external audit or regulatory review
Before vs. after
Before
Manual translation of NIST AI RMF into controls, inconsistent artefacts, delayed reviews, rework loops
After
Repeatable workflows, faster sign-off, audit-ready outputs, scalable governance patterns
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: 90 minutes per week for 12 weeks (15 minutes per chapter, 3 chapters per week)
If nothing changes
Continuing to rely on ad-hoc governance slows AI deployment, increases rework, and exposes teams to alignment gaps under rising efficiency pressure
How this compares to the alternatives
Unlike generic AI ethics courses or theoretical compliance workshops, this program delivers concrete templates, time-tested workflows, and implementation patterns specifically for NIST AI RMF, designed by practitioners who have shipped governance at scale in data-intensive environments.
Frequently asked
Is this course technical or leadership-focused?
It's both, engineered for technical practitioners who lead governance execution and need to align teams, systems, and controls.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Do I need prior NIST AI RMF experience?
No, this course builds from core functions to advanced implementation, with templates for immediate use.
$199 one-time. 90 minutes per week for 12 weeks (15 minutes per chapter, 3 chapters per week).
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