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Faster path from AI policy intent to working compliance artefact using AI Act

$199.00
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A tailored course, built for your situation

Faster path from AI policy intent to working compliance artefact using AI Act

Ship complete, defensible AI governance outputs in half the cycle time, aligned to AI Act requirements from day one

$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 too many cycles turning AI governance goals into working compliance outputs

The situation this course is for

Teams are stuck translating high-level AI policy into actionable, auditable artefacts. They lose momentum reconciling legal, technical, and operational inputs. Outputs arrive late, incomplete, or fail first review, delaying product launch, increasing rework, and weakening credibility.

Who this is for

Senior practitioner leading or influencing AI governance delivery in commercial technology environments, navigating regulatory expectation with technical precision

Who this is not for

Entry-level compliance staff, pure legal advisors, or consultants selling generic frameworks without implementation focus

What you walk away with

  • Produce first-draft AI conformity assessments in under 96 hours
  • Structure technical documentation dossiers that pass initial legal-review thresholds
  • Generate audit-ready logs aligned to AI Act Article 13 requirements
  • Orchestrate inputs from legal, ML engineering, and product teams in two synchronous alignment cycles
  • Demonstrate weekly forward progress on AI compliance with artefact-based updates

The 12 modules (with all 144 chapters)

Module 1. Map AI Act Title III requirements to artefact outputs
Identify which sections of the AI Act trigger specific documentation, testing, and review requirements. Translate obligations into deliverables with named owners and cycle-time benchmarks.
12 chapters in this module
  1. Scope of AI Act applicability
  2. High-risk AI system classification
  3. Article 5 prohibited systems
  4. Article 11 data governance rules
  5. Article 12 technical documentation
  6. Article 13 record-keeping mandates
  7. Article 14 transparency obligations
  8. Article 15 human oversight
  9. Article 16 accuracy metrics
  10. Annex III high-risk use cases
  11. Conformity assessment paths
  12. Relevance to B2B AI deployment
Module 2. Design first compliance artefact within 48 hours
Start with a minimal viable conformity assessment using customer-facing AI features. Use decision logs and risk tiering to accelerate initial alignment.
12 chapters in this module
  1. Identify first deployable AI feature
  2. Classify risk tier per Annex III
  3. Map input data provenance
  4. Document design rationale
  5. Capture model monitoring plan
  6. Define human-in-the-loop points
  7. Set accuracy reporting cadence
  8. Draft transparency summary
  9. Assemble internal sign-off log
  10. Track version control path
  11. Build changelog schema
  12. Prepare for legal intake
Module 3. Orchestrate first cross-functional sync
Run a focused 90-minute session to align legal, engineering, and product on compliance scope. Exit with shared artefact ownership and next-step calendar blocks.
12 chapters in this module
  1. Pre-brief legal with AI Act excerpts
  2. Prep engineering with architecture diagram
  3. Product stakeholder briefing pack
  4. Frame compliance as enabler
  5. Define artefact ownership
  6. Map dependency chain
  7. Set review threshold
  8. Document decision log
  9. Assign update cadence
  10. Lock version control path
  11. Schedule next checkpoint
  12. Capture unresolved items
Module 4. Build technical documentation backbone
Structure the core dossier that satisfies Article 12: system description, intended use, data pipeline, testing regime, and version history.
12 chapters in this module
  1. System architecture diagram
  2. Intended purpose statement
  3. Input data specifications
  4. Data processing logic
  5. Training data provenance
  6. Testing and validation plan
  7. Accuracy metrics definition
  8. Model update protocol
  9. Version control method
  10. Failure recovery plan
  11. Human oversight design
  12. Conformity assessment status
Module 5. Generate audit-ready record-keeping log
Create an immutable log that satisfies Article 13, updated automatically with each model iteration or deployment change.
12 chapters in this module
  1. Event trigger types
  2. Timestamp format standard
  3. Model version capture
  4. Deployment environment
  5. User interaction log
  6. Human override flag
  7. Accuracy drift alert
  8. Version rollback event
  9. Incident documentation
  10. Log access control
  11. Retention period policy
  12. Export to regulator format
Module 6. Draft transparency documentation
Produce clear summaries for deployers and end-users, satisfying Article 14 obligations without exposing IP.
12 chapters in this module
  1. End-user notice template
  2. Deployer guidance pack
  3. Model capability summary
  4. Limitation disclosure
  5. Human oversight instructions
  6. Feedback mechanism
  7. Language accessibility
  8. Version-specific changes
  9. Third-party component log
  10. Liability disclaimer
  11. Update communication plan
  12. Archive previous versions
Module 7. Implement human oversight design
Define and document where and how humans intervene in AI decision chains, as required by Article 15.
12 chapters in this module
  1. High-risk decision points
  2. Human-in-the-loop triggers
  3. Override authority scope
  4. Training for oversight staff
  5. Escalation protocol
  6. Monitoring dashboard
  7. Fallback process
  8. Audit trail capture
  9. Response time SLA
  10. Review frequency schedule
  11. Documentation update log
  12. Incident reporting path
Module 8. Set accuracy and robustness benchmarks
Define measurable performance thresholds that satisfy Article 16 and support ongoing monitoring.
12 chapters in this module
  1. Performance metric selection
  2. Baseline accuracy rate
  3. Drift detection method
  4. Testing frequency
  5. Adversarial testing
  6. Bias audit protocol
  7. Model decay alert
  8. Re-training trigger
  9. Version update rule
  10. Validation environment
  11. Rollback decision tree
  12. Stakeholder report format
Module 9. Run first internal conformity assessment
Conduct a lightweight review against Annex VII modules to confirm readiness for external audit or customer scrutiny.
12 chapters in this module
  1. Checklist version
  2. Compliance gap scan
  3. Evidence collection
  4. Gap remediation plan
  5. Sign-off workflow
  6. Version lock process
  7. Audit trail export
  8. Customer redaction method
  9. Third-party review invite
  10. Status reporting format
  11. Update cycle trigger
  12. Archive for retention
Module 10. Structure ongoing compliance updates
Maintain artefacts through the AI lifecycle with automated notifications and calendar-synced review points.
12 chapters in this module
  1. Change detection methods
  2. Update triggers
  3. Review calendar sync
  4. Automated reminders
  5. Version diff tracking
  6. Stakeholder update
  7. Regulatory change alerts
  8. Customer communication
  9. Internal audit prep
  10. External audit log
  11. Retention schedule
  12. Decommission record
Module 11. Scale across commercial AI deployments
Replicate the artefact framework across new customer engagements using reusable templates and shared review cycles.
12 chapters in this module
  1. Template library setup
  2. Client-specific customization
  3. Cross-client review sync
  4. Common gap analysis
  5. Shared tooling setup
  6. Version control sync
  7. Training rollout
  8. Feedback loop design
  9. Efficiency tracking
  10. Compliance debt log
  11. Audit readiness score
  12. Client reporting pack
Module 12. Demonstrate compliance progression weekly
Replace quarterly updates with tangible weekly outputs that show forward motion, building trust with legal and executive stakeholders.
12 chapters in this module
  1. Weekly artefact update
  2. Progress dashboard
  3. Gap closure log
  4. Stakeholder digest
  5. Escalation path
  6. Review meeting format
  7. Executive summary
  8. Customer assurance note
  9. Public positioning
  10. Media inquiry prep
  11. Enforcement scenario
  12. Lessons learned report

How this maps to your situation

  • After initial AI Act scoping
  • Before first cross-functional sync
  • During technical documentation build
  • Ahead of internal conformity assessment

Before vs. after

Before
Starting from scratch each time, reconciling inputs across teams, struggling to show progress, and missing early compliance signals
After
Shipping complete, AI Act-aligned compliance artefacts in under two weeks, with clear ownership, audit-ready logs, and visible weekly momentum

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: 12 weeks of structured learning, 3-5 hours per week, designed for practitioners shipping real compliance outputs on active projects.

If nothing changes
Continuing with ad-hoc compliance processes risks delayed deployments, rework penalties, and loss of influence when oversight bodies demand faster answers.

How this compares to the alternatives

Unlike generic AI governance courses, this program focuses exclusively on converting AI Act requirements into working artefacts , no theory, no fluff. Compared to consultants, it delivers the same scaffolding at 1% of the cost.

Frequently asked

Is this course specific to the EU AI Act?
Yes, it focuses on the EU AI Act, particularly Title III and Annexes III and VII, and how to satisfy its compliance obligations through tangible documentation and system design.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use this for internal training?
The course license is for individual use. Team licensing is available upon request.
$199 one-time. 12 weeks of structured learning, 3-5 hours per week, designed for practitioners shipping real compliance outputs on 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
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