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Defensible AI Act Compliance Positioning from First Principles

$199.00
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A tailored course, built for your situation

Defensible AI Act Compliance Positioning from First Principles

Build auditable, source-backed AI governance positions that hold under peer review

$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.
Having to backtrack or soften positions when challenged on AI governance rigor

The situation this course is for

Practitioners often build AI compliance frameworks that look solid until questioned. Without specific sources and implementable examples, positions erode under cross-functional scrutiny, reducing influence and delaying execution.

Who this is for

Senior IC in AI governance or data platform compliance at a regulated tech firm

Who this is not for

Entry-level compliance staff, consultants selling generic frameworks, or teams looking for checkbox checklists

What you walk away with

  • Articulate the rationale behind each AI Act requirement using cited legal and technical sources
  • Reference real-world implementations when justifying control choices
  • Preempt pushback with documented reasoning trails from intent to enforcement
  • Differentiate between mandatory, advisory, and emerging expectations in the text
  • Respond to challenges with specific examples from peer-reviewed audits and regulator feedback

The 12 modules (with all 144 chapters)

Module 1. AI Act Structure and Binding Hierarchy
Map the enforceable tiers of the AI Act: regulations, delegated acts, and implementing standards. Identify which clauses carry legal force versus guidance.
12 chapters in this module
  1. Full title and scope of Regulation (EU) the current cycle/XXXX
  2. Distinction between high-risk and prohibited AI systems
  3. Legal force of Annex I technical requirements
  4. How Annex II classification aligns with deployment context
  5. Enforceability of Article 5 vs Article 16 obligations
  6. Regulatory timeline for compliance phases
  7. Role of EBA and ENISA in interpretation
  8. Interaction with national enforcement bodies
  9. Binding effect of conformity assessments
  10. Oversight mechanisms under Article 64
  11. Penalty thresholds by member state
  12. Derogations and transitional provisions
Module 2. High-Risk Use Case Categorization
Apply the seven high-risk categories using precedent from EDPB opinions and national enforcement actions.
12 chapters in this module
  1. Biometric identification in public spaces
  2. Critical infrastructure monitoring systems
  3. Education assessment algorithms
  4. Employment screening tools
  5. Essential services eligibility engines
  6. Law enforcement prediction models
  7. Justice and migration decision support
Module 3. Obligations for Providers and Deployers
Distinguish provider vs deployer duties under Title III, with examples from EMEA enforcement cases.
12 chapters in this module
  1. Article 16: Provider responsibilities
  2. Article 28: Deployer due diligence
  3. Transparency obligations to end-users
  4. Record-keeping requirements
  5. Human oversight expectations
  6. Post-market monitoring duties
  7. Incident reporting thresholds
  8. Interaction with GDPR obligations
  9. Liability allocation in B2B contracts
  10. Audit readiness checklist for deployers
  11. Provider self-assessment workflow
  12. Third-party provider oversight
Module 4. Technical Documentation Under Annex IV
Build compliant documentation using ETSI and CEN/BT/TR 17844 implementation patterns.
12 chapters in this module
  1. System purpose and intended use definition
  2. High-level model architecture description
  3. Input and output specifications
  4. Training data provenance
  5. Performance metrics selection
  6. Bias and fairness testing protocol
  7. Robustness testing procedures
  8. Cybersecurity provisions
  9. Version control and update policy
  10. Human-in-the-loop design
  11. Failure mode documentation
  12. Compliance demonstration plan
Module 5. Risk Management System Design
Implement a living risk management process aligned with EN AI 100/the current cycle guidelines.
12 chapters in this module
  1. Hazard identification methodology
  2. Risk estimation vs risk evaluation
  3. ALEA-based likelihood scoring
  4. Impact severity matrix
  5. Residual risk thresholds
  6. Iterative risk assessment cycle
  7. Integration with ISO 42001 controls
  8. Risk log maintenance
  9. Third-party model risk inclusion
  10. Drift and degradation monitoring
  11. Incident escalation path
  12. Regulatory reporting triggers
Module 6. Data and Model Governance
Apply data quality and model lifecycle controls from ETSI TR 103 846 benchmarks.
12 chapters in this module
  1. Training data representativeness
  2. Bias detection in data sampling
  3. Annotation quality assurance
  4. Model version traceability
  5. Ground truth validation
  6. Performance monitoring KPIs
  7. Concept drift detection
  8. Model retraining triggers
  9. Model card completeness
  10. Data lineage for audit
  11. Data retention in compliance
  12. Model decommissioning protocol
Module 7. Transparency and User Interaction
Design user-facing disclosures using precedent from CNIL and DPA enforcement actions.
12 chapters in this module
  1. Clear system capability disclosure
  2. Prohibition on manipulative design
  3. Emotional deception safeguards
  4. Human override mechanisms
  5. Timing of intervention options
  6. Language and accessibility requirements
  7. Chatbot identity disclosure
  8. Performance limitation warnings
  9. Third-party integration transparency
  10. Consent for sensitive processing
  11. User feedback collection
  12. Complaint handling workflow
Module 8. Human Oversight Implementation
Integrate meaningful human oversight using examples from healthcare and credit scoring audits.
12 chapters in this module
  1. Oversight at decision initiation
  2. Intervention during processing
  3. Post-decision review protocols
  4. Role clarity in hybrid workflows
  5. Training for human reviewers
  6. Escalation threshold definition
  7. Audit trail for override decisions
  8. Bias detection by humans
  9. Cognitive load reduction
  10. Time constraints for review
  11. Accountability mapping
  12. Metrics for oversight effectiveness
Module 9. Robustness, Accuracy, and Cybersecurity
Meet technical performance benchmarks from ETSI standards and notified body checklists.
12 chapters in this module
  1. Adversarial attack resistance
  2. Input perturbation testing
  3. Model drift monitoring
  4. Fail-safe states
  5. Stress testing protocols
  6. Model accuracy thresholds
  7. Precision-recall tradeoffs
  8. Security update policy
  9. Penetration testing requirements
  10. Attack surface mapping
  11. Model confidentiality controls
  12. Resilience under load
Module 10. Conformity Assessment Pathways
Navigate notified body involvement and self-certification using ECHA precedent.
12 chapters in this module
  1. Internal conformity assessment steps
  2. Role of authorized representatives
  3. EU-type examination process
  4. Quality management system audit
  5. Technical documentation review
  6. Random sample testing
  7. Surveillance post-certification
  8. Notified body selection criteria
  9. Appeal process for rejection
  10. Certificate renewal cycle
  11. Cross-border recognition
  12. Withdrawal conditions
Module 11. Post-Market Monitoring and Incident Reporting
Build a proactive monitoring system that meets Article 70 requirements.
12 chapters in this module
  1. Performance degradation alerts
  2. User complaint tracking
  3. Model drift detection thresholds
  4. Security incident logging
  5. Reporting to national authorities
  6. Public database entry process
  7. Recall procedures
  8. Patch deployment workflow
  9. Feedback loop integration
  10. Annual compliance reporting
  11. Log retention duration
  12. Cross-border coordination
Module 12. AI Act and Parallel Framework Integration
Align with NIST AI RMF and ISO 42001 without duplication or conflict.
12 chapters in this module
  1. Mapping AI Act to NIST AI RMF domains
  2. Overlap with ISO 42001 controls
  3. GDPR Article 22 interplay
  4. Cybersecurity directives alignment
  5. DORA high-level mapping
  6. Sector-specific adaptations
  7. National implementation variation
  8. Regulatory sandboxes
  9. Stakeholder consultation records
  10. Internal audit preparation
  11. Third-party audit coordination
  12. Continuous improvement cycle

How this maps to your situation

  • When scoping a new AI deployment
  • During vendor AI product evaluation
  • Preparing for internal audit
  • Responding to regulator follow-up

Before vs. after

Before
Reacting to challenges with general principles and hope
After
Walking in with cited sources, real examples, and structured reasoning

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 active projects.

If nothing changes
Positions erode under scrutiny, reducing influence and requiring rework even when technically correct.

How this compares to the alternatives

Generic AI governance courses offer broad overviews; this course delivers the source-level detail and implementable examples needed to defend positions in high-stakes environments.

Frequently asked

Is this course focused on the EU AI Act only?
Yes, specifically Regulation (EU) the current cycle/XXXX, with integration guidance for NIST AI RMF and ISO 42001.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Are there practical templates included?
Yes, each module includes downloadable templates and worked examples based on real compliance cases.
$199 one-time. Approximately 3 hours per module, designed for steady integration into 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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