A tailored course, built for your situation
Mastering AI Act for Individual Contributors in US Tech Organizations
Produce legally defensible, high-accuracy AI governance artefacts on the first pass
$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.
Avoiding rework loops on AI compliance documentation
The situation this course is for
Time lost in revision cycles, weak documentation under review, and dependence on senior sign-off delay impact and credibility
Who this is for
Individual contributor in a fast-moving US tech firm with exposure to AI regulation, focused on delivering precise, autonomous work without constant oversight
Who this is not for
Directors, board-level stakeholders, or practitioners outside AI governance, compliance, or data platform roles
What you walk away with
- First-draft-ready AI conformity assessments aligned with AI Act requirements
- Clear, defensible data provenance narratives that survive audit scrutiny
- Autonomy in drafting governance artefacts without escalation loops
- Faster turnaround on internal and external AI review requests
- Consistent application of risk categorization and mitigation logic
The 12 modules (with all 144 chapters)
Module 1. Understanding AI Act Scope and Applicability
Learn how to classify AI systems under Title III of the AI Act, determine risk tiers, and map obligations based on use case and deployment context.
12 chapters in this module
- What is high-risk AI
- Prohibited AI practices
- General purpose AI rules
- Classification workflow
- Use case examples
- Risk tier decision tree
- Exemptions and exclusions
- Market surveillance roles
- Enforcement bodies
- Timeline for compliance
- Geographic reach
- Interaction with other laws
Module 2. Data Governance for Conformity Assessments
Build defensible data lineage and provenance records required for Article 10 and Article 13 compliance.
12 chapters in this module
- Training data provenance
- Data quality benchmarks
- Bias evaluation timing
- Documentation standards
- Version control needs
- Third-party data use
- Logging for audit trails
- Data retention rules
- Consent requirements
- Anonymization thresholds
- Human oversight touchpoints
- Traceability frameworks
Module 3. Technical Documentation Preparation
Assemble complete technical files per Annex IV, including system architecture, monitoring, and performance metrics.
12 chapters in this module
- System diagrams
- Intended use definition
- Performance metrics
- Accuracy thresholds
- Robustness standards
- Cybersecurity measures
- Versioning policy
- Interoperability specs
- Update protocols
- Failure mode analysis
- Monitoring plan
- Incident response
Module 4. Risk Management Framework Integration
Implement a living risk management system as required under Article 9, aligned with NIST AI RMF principles.
12 chapters in this module
- Risk identification
- Hazard analysis
- Use case risks
- Operational risks
- Human oversight design
- Fail-safe mechanisms
- Monitoring triggers
- Update response plan
- Residual risk assessment
- Third-party risk
- Risk register format
- Escalation thresholds
Module 5. Human Oversight Design
Design meaningful human oversight mechanisms for high-risk systems that meet Article 14 requirements.
12 chapters in this module
- Oversight scope
- Role definition
- Intervention capability
- Training needs
- Alert thresholds
- Escalation paths
- Decision logs
- Audit trail design
- Responsibility matrix
- Redundancy planning
- User feedback loop
- Incident review
Module 6. Transparency and Information Requirements
Ensure compliance with user-facing transparency rules in Articles 13 and 52.
12 chapters in this module
- User notification
- Purpose disclosure
- Limitation statements
- Instructions for use
- Provider identification
- Trademark clarity
- Language accessibility
- Consumer rights notice
- Third-party disclosure
- Open source notices
- Model card inclusion
- Contact information
Module 7. Fundamental Rights Impact Assessment
Conduct DPIA-style evaluations focused on fundamental rights under Article 29.
12 chapters in this module
- Stakeholder mapping
- Rights at risk
- Discrimination risks
- Privacy impact
- Freedom of expression
- Worker rights
- Children’s rights
- Mitigation plans
- Public interest test
- Consultation process
- Documentation format
- Review frequency
Module 8. Conformity Assessment Pathways
Navigate self-certification vs notified body routes under Article 43.
12 chapters in this module
- Internal audit steps
- External review triggers
- Notified body selection
- Assessment scope
- Evidence collection
- Gap analysis
- Remediation planning
- Timeline estimation
- Cost factors
- Certification bodies
- Audit readiness
- Post-market review
Module 9. Post-Market Monitoring and Reporting
Set up systems for ongoing compliance tracking and incident reporting as required by Article 62.
12 chapters in this module
- Performance tracking
- Drift detection
- Incident logging
- Reporting thresholds
- Notification timelines
- Corrective actions
- Update validation
- User feedback
- System degradation
- Retraining triggers
- Version rollback
- Registry updates
Module 10. AI Act and Data Protection Law Alignment
Map AI Act obligations to GDPR, CCPA, and other privacy laws for unified compliance.
12 chapters in this module
- Lawful basis alignment
- Data subject rights
- DPIA integration
- Joint controller issues
- Cross-border data
- Consent mechanisms
- Erasure obligations
- Right to explanation
- Automated decision rights
- Record keeping
- Breach reporting
- Compliance overlap
Module 11. Vendor and Supply Chain Accountability
Manage third-party AI components and dependencies under Article 28.
12 chapters in this module
- Contractual terms
- Liability allocation
- Subsidiary compliance
- Component tracing
- Open source use
- License compliance
- Due diligence steps
- Audit rights
- Performance guarantees
- Exit strategies
- Transition planning
- Documentation access
Module 12. Implementation Playbook Integration
Adapt the hand-built implementation playbook to your current projects and governance workflows.
12 chapters in this module
- Playbook structure
- Customization points
- Team adoption
- Leadership buy-in
- Tool integration
- Process embedding
- Version control
- Cross-functional use
- Feedback loops
- Audit preparation
- Continuous improvement
- Lessons learned
How this maps to your situation
- Early-stage AI governance implementation
- Preparing for product audit or certification
- Responding to internal compliance requests
- Scaling documentation practices across teams
Before vs. after
Before
Reactive documentation, repeated revisions, reliance on senior input for defensibility
After
Confident, accurate outputs that meet regulatory standards on first submission
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 hours per module, designed for flexible progress alongside regular responsibilities.
If nothing changes
Increased scrutiny from regulators and internal stakeholders may lead to delays in AI deployment, reputational exposure, or non-compliance penalties.
How this compares to the alternatives
Unlike generic AI ethics courses or broad compliance overviews, this course delivers specific, actionable AI Act implementation tools tailored to individual contributors in technical environments.
Frequently asked
Who is this course designed for?
Individual contributors in US tech firms working on AI governance, compliance, or data platform roles who need to produce auditable, accurate outputs independently.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this relevant if my company isn’t in Europe?
Yes. The AI Act is becoming a de facto global standard, and its requirements are shaping internal policies at US tech firms, especially those with international reach.
$199 one-time. Approximately 3 hours per module, designed for flexible progress alongside regular responsibilities..
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