A tailored course, built for your situation
Mastering AI Act Compliance for Data Platform Governance Practitioners
Build defensible, framework-aligned AI governance that holds up to scrutiny
$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.
Peer pressure on governance decisions that feel ungrounded or reactive
The situation this course is for
Even strong frameworks fail when challenged without clear reasoning or traceable sources. Teams default to opinion, not evidence, when under pressure, eroding trust and slowing adoption.
Who this is for
Senior IC in data platform governance at a cloud-native org, navigating cross-functional scrutiny on AI controls
Who this is not for
Entry-level auditors, developers without governance scope, or consultants selling templates without implementation depth
What you walk away with
- Articulate every AI Act control decision with cited sources and real-world precedent
- Deflect pushback using framework-native logic and documented implementation patterns
- Produce audit-ready artefacts with traceable rationale for each requirement
- Navigate grey areas using published regulator commentary and EBA/EDPS interpretations
- Build repeatable response templates for common governance challenges under Title III
The 12 modules (with all 144 chapters)
Module 1. AI Act Scope and Applicability Mapping
Define which systems fall under Title II high-risk and how to classify borderline use cases using EDPB guidance.
12 chapters in this module
- High-risk criteria under Annex III
- Classifier thresholds for generative models
- Self-declaration vs notified body review
- Use case exclusion rules
- Dynamic updates from delegated acts
- Geographic enforcement boundaries
- B2B vs B2C classification
- Model size as a factor
- Downstream integration risks
- Open source exceptions
- Provider vs deployer liability
- Versioning and drift boundaries
Module 2. Risk Management System Design
Build compliant risk controls aligned with ISO/IEC 23894 and AI Act Article 9 requirements.
12 chapters in this module
- Hazard classification schema
- Risk likelihood calibration
- Severity impact matrix
- Tiered mitigation protocols
- Residual risk acceptance
- Human oversight design
- Fail-safe mechanisms
- Adverse event logging
- Third-party model risk
- Supply chain documentation
- Incident escalation paths
- Audit trail retention
Module 3. Data Governance and Bias Control
Implement data quality and bias mitigation protocols required under Article 10.
12 chapters in this module
- Training data provenance tracking
- Bias assessment thresholds
- Representative dataset checks
- Data cleansing validation
- Annotation quality standards
- Bias testing frequency
- Disaggregated performance metrics
- Protected attribute handling
- Synthetic data use cases
- Data drift monitoring
- Version-controlled datasets
- Audit access for regulators
Module 4. Transparency and Technical Documentation
Generate AI Act-compliant technical files using the required structure under Annex IV.
12 chapters in this module
- System overview drafting
- Intended purpose definition
- Input-output specifications
- Model architecture description
- Training data summary
- Risk assessment integration
- Accuracy benchmarks
- Version history logging
- Update protocols
- Conformity assessment path
- Notified body submission prep
- Public disclosure alignment
Module 5. Human Oversight Mechanisms
Design effective human-in-the-loop systems as required by Article 14.
12 chapters in this module
- Oversight role definition
- Intervention timing thresholds
- Training for human reviewers
- Escalation triage design
- Audit logging of decisions
- False positive handling
- Workload balancing
- Override authority boundaries
- Performance feedback loops
- Bias detection triggers
- Escalation lag tracking
- Reviewer competency checks
Module 6. CE Marking and Conformity Assessment
Navigate the EU’s conformity process for high-risk AI systems.
12 chapters in this module
- Internal production checks
- EU-Type Examination process
- Notified body selection
- Annex VI documentation
- Quality management system
- Post-market monitoring
- Incident reporting plan
- Surveillance compliance
- Declaration of conformity
- Traceability of changes
- Certification renewal cycle
- Cross-border recognition
Module 7. Record Keeping and Logging
Meet Article 12 logging requirements for monitoring and enforcement.
12 chapters in this module
- Event type classification
- Retention period rules
- Encryption standards
- Access control design
- Log integrity checks
- Timestamp accuracy
- Anomaly detection alerts
- Export formats for auditors
- Log aggregation patterns
- Retention policy versioning
- Deletion triggers
- Breach detection integration
Module 8. Fundamental Rights Impact Assessment
Conduct FRIs as required under Article 13, aligned with EU Charter standards.
12 chapters in this module
- Stakeholder identification
- Rights categorization
- Impact severity scoring
- Remediation planning
- Public consultation design
- Disadvantaged group analysis
- Geographic variation factors
- Legal basis validation
- Proportionality testing
- Transparency gap review
- Redress mechanism design
- Oversight body reporting
Module 9. Post-Market Monitoring and Updates
Establish systems for ongoing compliance after deployment.
12 chapters in this module
- Performance degradation alerts
- Bias drift detection
- Model retraining triggers
- Version control protocol
- User feedback loop
- Incident database design
- Security patch integration
- Accuracy monitoring
- Complaint triage system
- Reporting to notified bodies
- Update documentation
- Rollback procedures
Module 10. AI Act and Sectoral Regulation Alignment
Map AI Act requirements to coexisting rules like GDPR, NIS2, and DORA.
12 chapters in this module
- GDPR intersection points
- NIS2 overlap for critical entities
- DORA compliance mapping
- Sector-specific exemptions
- Financial services alignment
- Healthcare data handling
- Law enforcement carve-outs
- Cross-regulation conflict resolution
- Consistent terminology use
- Single audit preparation
- Unified control frameworks
- Regulator coordination
Module 11. Enforcement and Penalties Framework
Understand enforcement mechanics and liability under Title VII.
12 chapters in this module
- National competent authorities
- European AI Office role
- Market surveillance powers
- Fines structure and caps
- Non-compliance escalation
- Appeal procedures
- Whistleblower protections
- Investigation triggers
- Corrective action plans
- Public disclosure rules
- Cross-border coordination
- Appeal timelines
Module 12. AI Governance Playbook Development
Assemble a defensible, reusable implementation guide tailored to your context.
12 chapters in this module
- Control mapping template
- Rationale annotation system
- Stakeholder Q&A bank
- Audit preparation checklist
- Training module design
- Cross-functional playbook
- Version control workflow
- Leadership briefing pack
- Vendor assessment section
- Incident response integration
- Continuous improvement loop
- Handover and onboarding section
How this maps to your situation
- Classifying models under AI Act scope
- Designing compliant risk controls
- Documenting data governance processes
- Preparing technical documentation
Before vs. after
Before
Responding to governance questions with general principles and informal reasoning
After
Walking through each decision with cited sources, precedent, and versioned logic
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 for steady integration into current workflow
If nothing changes
Governance decisions dismissed as subjective, leading to repeated challenges and slower adoption across teams
How this compares to the alternatives
Unlike general AI ethics courses, this program focuses on enforceable requirements, citing exact articles, regulator commentary, and implementation patterns that survive peer scrutiny.
Frequently asked
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover AI Act enforcement in non-EU markets?
Focus is on EU enforcement, but principles apply to emerging regimes in UK, Canada, and Japan.
Are templates customizable?
Yes, all templates are provided in editable format for internal adaptation.
$199 one-time. Approximately 3 hours per module, designed for steady integration into current workflow.
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