A tailored course, built for your situation
Deeper command of the AI Act compliance framework
A 12-module mastery path to internalize and implement the EU AI Act with precision
$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
Senior IT and compliance practitioners implementing AI governance in regulated environments
Who this is not for
Entry-level staff, non-technical audiences, or those seeking high-level AI awareness only
What you walk away with
- Navigate the AI Act's articles and annexes with confidence
- Map obligations directly to technical controls in data and model pipelines
- Produce compliant documentation aligned with conformity assessments
- Anticipate enforcement interpretations based on EBA and national guidance
- Translate requirements into internal playbooks and team-level checklists
The 12 modules (with all 144 chapters)
Module 1. Structure of the EU AI Act
Break down the regulation's architecture including scope, definitions, and tiered risk classification.
12 chapters in this module
- Full text analysis
- Regulated vs unregulated systems
- AI system definition
- Provider vs deployer roles
- Market placement criteria
- National competent authorities
- Exempt use cases
- Interaction with GDPR
- Enforcement hierarchy
- Fines and penalties
- Transition periods
- Amendment process
Module 2. High-Risk AI Systems Inventory
Identify which systems fall under Title III and require conformity assessment.
12 chapters in this module
- Annex III systems list
- Biometric identification
- Critical infrastructure
- Education profiling
- Employment screening
- Essential services access
- Law enforcement use
- Migration and asylum
- Justice and judicial evidence
- Real-time remote biometrics
- Post-authorization review
- Dynamic updates
Module 3. Risk Management System Design
Build compliant risk management frameworks aligned with Article 9 requirements.
12 chapters in this module
- Continuous lifecycle approach
- Hazard identification
- Risk estimation
- Risk evaluation
- Mitigation controls
- Documentation standards
- Human oversight integration
- Performance metrics
- Iterative reevaluation
- Failure scenario planning
- Incident response linkage
- Third-party audit readiness
Module 4. Data and Training Set Governance
Ensure compliance with data quality and bias mitigation obligations under Article 10.
12 chapters in this module
- Representative datasets
- Bias testing methods
- Data lineage capture
- Documentation requirements
- Model drift monitoring
- Gender and demographic fairness
- Open vs proprietary data
- Labeling quality control
- Adversarial robustness
- Data versioning
- Retention policies
- Audit trail design
Module 5. Technical Documentation and Transparency
Generate complete technical files per Annex IV and meet transparency obligations.
12 chapters in this module
- System purpose description
- Architecture diagrams
- Input output specs
- Performance metrics
- Expected lifetime
- Change control process
- Version history
- User instructions
- Conformity declaration
- CE marking criteria
- Post-market monitoring
- Incident reporting
Module 6. Conformity Assessment Pathways
Choose and execute the correct route to compliance based on system classification.
12 chapters in this module
- Self-declaration process
- Notified body involvement
- Type examination
- Quality management audits
- Surveillance requirements
- Module A vs Module B
- Digital product passport
- Technical file retention
- Third-party verification
- Certification timelines
- Cross-border recognition
- Recertification triggers
Module 7. Ongoing Monitoring and Post-Market Surveillance
Implement systems to track performance and compliance after deployment.
12 chapters in this module
- Performance degradation alerts
- User feedback loops
- Incident logging
- Model drift detection
- Version control tracking
- Security patching
- Complaint handling
- Automated monitoring tools
- Reporting workflows
- Update assessment
- Re-evaluation triggers
- Decommissioning plans
Module 8. Human Oversight Requirements
Design meaningful human review mechanisms for high-risk deployments.
12 chapters in this module
- Meaningful control definition
- Intervention capability
- Context awareness
- Training for reviewers
- Escalation paths
- Logging oversight actions
- Time-bound decisions
- Override protocols
- Multi-stage review
- Bias mitigation checks
- Real-time vs delayed
- Automated flagging
Module 9. Fundamental Rights Impact Assessments
Conduct assessments required under Article 26 for high-risk public sector use.
12 chapters in this module
- Stakeholder engagement
- Disproportionate impact
- Vulnerable groups
- Legal basis check
- Data protection linkage
- Public consultation
- Remediation planning
- Oversight body input
- Transparency reporting
- Geographic disparities
- Accessibility considerations
- Long-term societal effect
Module 10. Provider and Deployer Obligations
Clarify responsibilities across the AI lifecycle for vendors and organizations.
12 chapters in this module
- Contractual terms
- Liability allocation
- Due diligence checks
- Sub-processor oversight
- Cloud provider roles
- Model cards
- Usage restrictions
- Compliance warranties
- Audit rights
- Data processing agreements
- Incident notification
- Enforcement cooperation
Module 11. Sector-Specific Applications
Apply the AI Act to finance, healthcare, education, and security contexts.
12 chapters in this module
- Credit scoring models
- Medical diagnosis tools
- Student evaluation
- Policing algorithms
- Insurance underwriting
- Recruitment filtering
- Judicial risk scoring
- Border control
- Public benefits
- Energy grid AI
- Autonomous vehicles
- Cybersecurity defense
Module 12. Implementation Playbook Integration
Synthesize all components into an organization-ready implementation guide.
12 chapters in this module
- Cross-functional alignment
- RACI matrix design
- Policy drafting
- Checklist creation
- Training rollout
- Toolchain integration
- Internal audit plan
- Vendor assessment
- Leadership reporting
- Continuous improvement
- Regulatory engagement
- Lessons learned capture
How this maps to your situation
- When onboarding new AI systems
- Before internal compliance audits
- During vendor selection for AI tools
- After regulatory updates or guidance
Before vs. after
Before
Navigating the AI Act felt abstract, with fragmented guidance and unclear implementation paths.
After
You own the full scope of the AI Act, able to guide teams, draft policies, and represent compliance with authority.
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, self-paced over 4, 6 weeks.
How this compares to the alternatives
Unlike generic AI ethics courses, this focuses exclusively on the binding requirements and implementation mechanics of the EU AI Act, giving you actionable control, not just awareness.
Frequently asked
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this relevant for non-EU companies?
Yes. If you deploy AI systems used in the EU, the AI Act applies regardless of your location.
Are templates customizable?
Yes. All templates are provided in editable format for internal adaptation.
$199 one-time. Approximately 3, 4 hours per module, self-paced over 4, 6 weeks..
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