A tailored course, built for your situation
Influence in AI governance decisions with AI Act mastery
Position yourself as the go-to practitioner for AI compliance in strategic vendor and architecture reviews.
$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 technical leader influencing data platform governance and AI compliance posture.
Who this is not for
Individuals seeking introductory compliance overviews or non-technical policy summaries.
What you walk away with
- Lead AI Act compliance discussions in technical architecture reviews
- Shape vendor selection criteria with enforceable AI governance clauses
- Contribute preemptively to internal AI governance board proposals
- Articulate AI Act requirements in data pipeline design and model deployment workflows
- Become the internal reference for audit-ready AI compliance evidence
The 12 modules (with all 144 chapters)
Module 1. AI Act scope and applicability in enterprise AI systems
Understand how the AI Act classifies AI systems and which obligations apply to data platforms, MLOps pipelines, and decisioning models.
12 chapters in this module
- Defining high-risk AI under the AI Act
- AI system registration thresholds
- Obligations for providers vs deployers
- Exemptions for research and development
- Territorial scope of enforcement
- Integration with existing data protection laws
- Key deadlines for compliance
- Role of national competent authorities
- Designation of AI officers in practice
- Relationship to EU Digital Markets Act
- AI Act interaction with sectoral regulations
- Preparing for unannounced audits
Module 2. Mapping AI Act requirements to data architecture
Translate compliance mandates into technical design constraints for pipelines, feature stores, and model monitoring.
12 chapters in this module
- Data provenance for AI training sets
- Documentation of model design choices
- Version control for training data
- Model lineage tracking
- Bias testing in pre-processing stages
- Data quality assurance protocols
- Retention rules for AI training artifacts
- Labeling requirements for supervised learning
- Third-party dataset due diligence
- Model drift detection thresholds
- Human oversight mechanisms
- Audit trail generation at scale
Module 3. Vendor selection with AI Act compliance built in
Incorporate AI governance into procurement workflows and RFP language for AI platform providers.
12 chapters in this module
- Evaluating vendor AI Act compliance claims
- Required vendor documentation
- Right-to-audit clauses
- Subprocessor transparency obligations
- Model transparency commitments
- Incident reporting timelines
- Liability allocation for noncompliance
- Certification requirements for vendors
- Third-party conformity assessments
- Escalation paths for enforcement actions
- Contractual remedies for AI failures
- Exit strategy clauses
Module 4. Internal governance frameworks aligned to AI Act
Design review boards, approval gates, and escalation paths that reflect the Act’s risk-based approach.
12 chapters in this module
- Establishing risk classification tiers
- Internal review board membership
- Thresholds for executive notification
- Documentation standards for high-risk AI
- Ethics review integration
- Incident logging and reporting
- External auditor access protocols
- Model registry design
- Change control for AI systems
- Decommissioning procedures
- Staff training requirements
- Compliance self-assessment templates
Module 5. Technical documentation for AI systems
Build compliant technical files that satisfy Article 11 and Annexes IV requirements.
12 chapters in this module
- System overview and intended use
- Data specifications and sources
- Model architecture diagrams
- Training methodology details
- Performance metrics and benchmarks
- Risk mitigation measures
- Human oversight design
- Robustness testing results
- Cybersecurity safeguards
- Post-market monitoring plans
- Version control for documentation
- Language requirements for EU filings
Module 6. Fundamental rights impact assessments
Conduct and document assessments that meet national supervisory expectations.
12 chapters in this module
- Identifying vulnerable populations
- Algorithmic discrimination testing
- Consent and notice mechanisms
- Effects on access to services
- Impact on autonomy and dignity
- Stakeholder consultation methods
- Mitigation of disproportionate effects
- Documentation of findings
- Public disclosure thresholds
- Review frequency requirements
- Third-party validation options
- Integration with DPIA processes
Module 7. High-risk AI system conformity assessments
Navigate the evidence requirements and evaluation processes for high-risk systems.
12 chapters in this module
- Internal vs notified body assessment
- Testing under real conditions
- Accuracy benchmarks
- Interpretability requirements
- Robustness under edge cases
- Cybersecurity attack resistance
- Fallback mechanisms
- Human-in-the-loop design
- Monitoring system integrity
- Model stability over time
- Reassessment triggers
- Documentation for auditors
Module 8. AI transparency and user notification
Ensure deployers meet their obligations to inform individuals when AI is used.
12 chapters in this module
- Clear disclosure requirements
- Timing of notifications
- Language clarity standards
- Exceptions for law enforcement
- Design of user-facing notices
- Recordkeeping of disclosures
- Consent mechanisms for sensitive uses
- Opt-out procedures
- Human override rights
- Accessibility of information
- Multilingual delivery
- API-level notification design
Module 9. Recordkeeping and audit readiness
Maintain logs and documentation that satisfy inspection requirements.
12 chapters in this module
- Mandatory log retention periods
- System activity tracking
- Decision output logging
- Input data snapshots
- Model version archives
- Change approval records
- Incident reports
- Audit trail access controls
- Data subject request logs
- Compliance certification records
- Board meeting minutes
- External communication logs
Module 10. AI incident reporting and response
Meet the 15-day reporting window and build organizational response protocols.
12 chapters in this module
- Definition of AI incident
- Reporting thresholds
- Responsible reporting entity
- Content of incident notifications
- Coordination with national authorities
- Internal escalation paths
- Root cause analysis
- Remediation planning
- Public communication strategy
- Regulatory follow-up expectations
- Lessons learned documentation
- Preventive controls update
Module 11. AI governance in M&A and partnerships
Assess and transfer AI compliance obligations during corporate transactions.
12 chapters in this module
- Due diligence for AI assets
- Liability for past noncompliance
- Contractual transfer of obligations
- Third-country data flows
- Integration of governance frameworks
- Harmonization of risk classifications
- Consolidation of documentation
- Joint accountability arrangements
- Exit rights for noncompliance
- Indemnity clauses
- Insurance considerations
- Post-merger audit preparedness
Module 12. Future-proofing AI governance programs
Anticipate enforcement trends and adapt frameworks to evolving guidance.
12 chapters in this module
- Monitoring EBA and EDPB opinions
- Adapting to national implementations
- Engaging with competent authorities
- Updating internal policies
- Training refresh cycles
- Benchmarking against peers
- Responding to guidance changes
- Vendor compliance monitoring
- Internal audit integration
- Executive reporting cadence
- Public affairs engagement
- Staying ahead of enforcement focus
How this maps to your situation
- When designing a new AI pipeline
- During vendor RFP evaluation
- Ahead of internal governance board review
- Preparing for regulatory audit
Before vs. after
Before
Reacting to AI compliance demands after architecture decisions are finalized.
After
Shaping AI system design and vendor choices with authoritative AI Act 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 integration with ongoing project work.
If nothing changes
Missing the opportunity to lead in AI governance may relegate technical decisions to teams without deep data platform expertise, increasing compliance risk and reducing influence in strategic conversations.
How this compares to the alternatives
Unlike generic AI ethics courses, this program delivers legally grounded, technically specific guidance tied directly to the AI Act, with implementation tools tailored to enterprise data and AI platforms.
Frequently asked
Who is this course for?
Senior technical leads, data architects, and compliance officers shaping AI systems in regulated environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is the content technical or legal?
Technical-first with precise legal grounding, designed for practitioners who need to implement, not just interpret, the AI Act.
$199 one-time. Approximately 3 hours per module, designed for integration with ongoing project work..
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