A tailored course, built for your situation
Mastering AI Act Compliance for Senior AI Product Leaders
Deliver defensible, auditable AI governance from first deployment
$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.
Avoid last-minute scrambles to justify AI system decisions under regulatory review
The situation this course is for
Teams are shipping AI faster than governance frameworks can catch up. Regulators now expect evidence of compliant design upfront, not retrofitted justification. Many practitioners still rely on ad-hoc documentation, leading to rework, weakened credibility, and exposure during audits.
Who this is for
Senior AI/ML product leaders in regulated environments who must balance innovation velocity with compliance rigor
Who this is not for
Junior compliance staff, generalist data scientists without governance exposure, or vendors selling turnkey 'AI compliance' tooling
What you walk away with
- Produce complete AI Act conformity assessments in half the review cycles
- Generate auditable system documentation that clears first-pass review
- Map technical controls directly to Article-level requirements without gaps
- Defend design choices using regulator-tested reasoning patterns
- Reduce revision loops by shipping polished outputs from the first draft
The 12 modules (with all 144 chapters)
Module 1. AI Act Scope and Applicability Mapping
Determine which AI systems in your portfolio fall under high-risk classification and require full conformity assessments.
12 chapters in this module
- Identifying high-risk use cases under Annex III
- Assessing system autonomy level
- Evaluating real-world impact thresholds
- Vendor-provided AI vs in-house development
- Determining provider vs deployer status
- Handling open-source model integration
- Mapping data flows for transparency
- Conducting initial risk categorization
- Documenting system purpose and context
- Versioning AI system definitions
- Tracking changes across model iterations
- Establishing boundary criteria for updates
Module 2. Risk Management System Design
Build a living risk management framework aligned with Article 9 requirements for high-risk AI systems.
12 chapters in this module
- Threat modelling for AI inference
- Hazard identification methodology
- Severity and likelihood scoring
- Failure mode tracking system
- Risk treatment hierarchy
- Residual risk acceptance process
- Human oversight integration
- Adversarial testing planning
- Bias impact benchmarks
- Robustness validation protocol
- Data drift detection thresholds
- Incident escalation paths
Module 3. Data Governance for Training and Evaluation
Implement compliant data practices for training, validation, and monitoring datasets.
12 chapters in this module
- Data provenance tracking
- Bias audit trail creation
- Representativeness scoring
- Annotation quality controls
- Sensitive attribute handling
- Preprocessing documentation
- Synthetic data justification
- Data versioning standards
- Label correction protocols
- Evaluation set isolation
- Drift monitoring setup
- Data retention policies
Module 4. Technical Documentation Structure
Create comprehensive technical files that satisfy Article 11 and notified body expectations.
12 chapters in this module
- System overview drafting
- Intended purpose specification
- Architecture diagrams standardization
- Model selection rationale
- Development lifecycle description
- Version control integration
- Performance metrics selection
- Accuracy benchmarking method
- Uncertainty quantification
- Error analysis reporting
- Firmware compatibility notes
- Update impact assessment
Module 5. Transparency and User Information
Design effective disclosure mechanisms that meet user-facing obligations under Article 13.
12 chapters in this module
- User notification timing
- System capability description
- Interaction logging disclosure
- Human-in-the-loop expectations
- Performance limitation warnings
- Language clarity standards
- Multilingual support planning
- Accessibility compliance
- Consent mechanism design
- Change communication protocol
- Downtime notification process
- Feedback channel integration
Module 6. Human Oversight Mechanisms
Implement meaningful human oversight in line with Article 14 requirements.
12 chapters in this module
- Oversight point identification
- Intervention capability design
- Role assignment framework
- Training content development
- Monitoring interface specs
- Override logging system
- Effectiveness measurement
- Workload balancing rules
- Escalation threshold setting
- Fallback procedure documentation
- Decision audit trail creation
- Oversight performance review
Module 7. Accuracy, Robustness, and Cybersecurity
Meet performance and security expectations for high-risk AI systems under Article 15.
12 chapters in this module
- Adversarial attack testing
- Input perturbation tolerance
- Model inversion resistance
- Secure deployment configuration
- Access control enforcement
- Model integrity verification
- Inference time monitoring
- Logging and alerting setup
- Fail-safe behavior design
- Resource exhaustion protection
- Model denial-of-service mitigation
- Penetration testing coordination
Module 8. Conformity Assessment Pathways
Navigate self-certification vs notified body review options under Article 43.
12 chapters in this module
- Internal audit planning
- Gap analysis execution
- Evidence collection strategy
- Notified body selection
- Application submission process
- Technical file packaging
- Review cycle anticipation
- Non-compliance response
- Certification renewal timing
- Surveillance audit preparation
- Change notification protocol
- Voluntary withdrawal process
Module 9. Recordkeeping and Audit Trails
Establish durable, inspectable records that satisfy Article 60 requirements.
12 chapters in this module
- Log retention period setting
- Storage format standardization
- Tamper-proofing methods
- Access control logging
- System modification tracking
- Decision rationale documentation
- Version history maintenance
- Incident response recording
- Third-party access logging
- Chain-of-custody procedures
- Legal hold readiness
- Export and portability support
Module 10. Post-Market Monitoring Systems
Implement ongoing surveillance for AI systems after deployment.
12 chapters in this module
- Performance degradation tracking
- User feedback aggregation
- Incident detection rules
- Anomaly alert thresholds
- Model drift measurement
- Retraining triggers
- Version recall protocol
- Customer communication plan
- Field performance reporting
- Bug and vulnerability tracking
- Patch deployment coordination
- Decommissioning process
Module 11. Provider Obligations and Liability Frameworks
Understand legal responsibilities under Titles IV and VI of the AI Act.
12 chapters in this module
- Liability for system harm
- Fault-based claims process
- Burden of proof allocation
- Insurance requirements
- Contractual obligation mapping
- Indemnification clauses
- Warranty terms definition
- Jurisdiction selection
- Dispute resolution mechanism
- Cross-border compliance
- Enforcement authority interaction
- Penalty mitigation strategy
Module 12. Implementation Playbook Integration
Operationalize learning into team workflows and governance processes.
12 chapters in this module
- Team training rollout
- Internal audit adaptation
- Checklist integration
- Toolchain alignment
- Cross-functional handoff
- Stakeholder communication
- Feedback loop design
- Continuous improvement cycle
- Benchmarking performance
- Lessons learned documentation
- Scaling to other use cases
- Leadership reporting format
How this maps to your situation
- Preparing for initial AI Act audit
- Launching high-risk AI system in EU market
- Responding to regulatory inquiry
- Building internal AI governance framework
Before vs. after
Before
Governance documentation prepared reactively, often incomplete or requiring multiple revisions during audits.
After
Proactively generated, regulator-ready outputs that clear first-pass review with minimal feedback.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters total)
- 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 week over 12 weeks, with modular access for on-demand learning.
If nothing changes
Without polished, defensible documentation, even well-designed AI systems face delays, increased scrutiny, and potential non-compliance findings during audits.
How this compares to the alternatives
Unlike generic AI ethics courses or broad compliance overviews, this program delivers actionable, article-specific implementation guidance used in actual AI Act assessments, designed for practitioners shipping regulated AI systems today.
Frequently asked
Is this course focused on EU regulation only?
The primary framework is the EU AI Act, but the documentation standards and control patterns apply globally to high-risk AI governance.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help with internal audits as well?
Yes, many modules map directly to internal audit expectations, particularly around documentation, risk management, and oversight.
$199 one-time. Approximately 3-4 hours per week over 12 weeks, with modular access for on-demand learning..
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