A tailored course, built for your situation
Mastering AI Act for Data Platform Governance Practitioners
Build authoritative, auditable AI governance systems aligned with the EU AI Act using vendor-agnostic frameworks and repeatable implementation patterns.
$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.
Generic AI governance training doesn't survive the first audit.
The situation this course is for
Most practitioners learn the AI Act through fragmented guidance or tool-specific playbooks that don't generalize. This leads to rework, inconsistent documentation, and compliance gaps that only surface during regulator review.
Who this is for
Senior ICs and technical leads embedding compliance into data and AI platforms, especially in cloud-first environments with EU exposure.
Who this is not for
This is not for executives seeking high-level summaries, junior analysts, or teams focused solely on non-EU regulatory frameworks.
What you walk away with
- Complete and defensible AI Act conformity checklists tailored to high-risk AI systems
- Technical documentation templates that satisfy Article 13 requirements
- Risk-tiered control mappings aligned with Annex III of the AI Act
- Implementation playbook for logging, monitoring, and human oversight mandates
- Repeatable process for managing model updates and versioning under AI Act scrutiny
The 12 modules (with all 144 chapters)
Module 1. AI Act Foundations for Technical Implementers
Understand the structure, scope, and binding obligations of the AI Act with a focus on Articles 16, 28, and conformity assessment pathways.
12 chapters in this module
- What the AI Act regulates
- High risk system categories
- Provider vs deployer duties
- Article 3 definitions deep dive
- General principles of compliance
- Relationship to GDPR
- Enforcement mechanics
- National competent authorities
- Timeline for implementation
- Voluntary codes of conduct
- Penalties for noncompliance
- Future-proofing beyond EU borders
Module 2. Risk Classification and System Categorization
Map AI use cases to Annex III risk tiers using technical criteria, not marketing claims.
12 chapters in this module
- Automated evaluation systems
- Remote biometric identification
- Emotion recognition limits
- Critical infrastructure AI
- Education profiling rules
- Employment screening controls
- Essential services access
- Law enforcement exceptions
- Real-time vs post-use distinctions
- Vulnerable population safeguards
- Documenting classification rationale
- Challenging vendor risk ratings
Module 3. Conformity Assessment Preparation
Build internal workflows that produce legally valid conformity evidence for internal and notified body review.
12 chapters in this module
- Internal audit readiness
- Technical file components
- Risk management system proof
- Data governance evidence
- Transparency documentation
- Human oversight validation
- Accuracy and robustness metrics
- Logging for traceability
- Version control requirements
- Third-party testing strategies
- Notified body interaction prep
- Self-certification limits
Module 4. Data Governance Under Article 10
Implement data practices that satisfy AI Act requirements for training, validation, and testing data sets.
12 chapters in this module
- Data provenance tracking
- Bias assessment protocols
- Data representativeness
- Documentation of data prep
- Versioning with metadata
- Geographic data limits
- Synthetic data disclosures
- Data refresh policies
- Data quality thresholds
- Annotator qualification proof
- Human review integration
- Ongoing monitoring baseline
Module 5. Technical Documentation for Article 13
Generate audit-ready technical documentation that survives regulator scrutiny.
12 chapters in this module
- System purpose definition
- Intended use specification
- System architecture diagrams
- Model selection rationale
- Performance metrics used
- Lifecycle description
- Post-market monitoring plan
- Change management process
- Version history tracking
- Human oversight description
- Fail-safe mechanisms
- Documentation retention policy
Module 6. Human Oversight Implementation
Design human-in-the-loop systems that meet AI Act Articles 14 and 23 requirements.
12 chapters in this module
- Meaningful control definition
- Override capability design
- Monitoring dashboards
- Escalation workflows
- Training for supervisors
- Audit trail for interventions
- Response time requirements
- Automated alert triggers
- False positive handling
- Role-based access controls
- Shift coverage planning
- Review frequency benchmarks
Module 7. Transparency and Information Provision
Meet user-facing disclosure obligations under Articles 50 and 52.
12 chapters in this module
- High-risk system labeling
- User instructions clarity
- Provider information display
- Remote biometric alerts
- Emotion recognition disclosures
- Deepfake labeling rules
- Open source exceptions
- Multilingual requirements
- Accessibility compliance
- Version change notifications
- Third-party component credits
- Update frequency disclosures
Module 8. Model Versioning and Change Management
Build version control systems that satisfy Article 61 requirements for traceability and rollback.
12 chapters in this module
- Model lineage tracking
- Version rollback capability
- Change approval workflows
- Pre-deployment testing scope
- Post-deployment monitoring triggers
- Drift detection thresholds
- Automated retraining limits
- Human review checkpoints
- Model registry standards
- Version retirement process
- Change documentation templates
- Audit trail for modifications
Module 9. Security and Robustness Controls
Implement technical safeguards that meet Article 15 and Annex VII requirements.
12 chapters in this module
- Adversarial attack resilience
- System stability under load
- Input validation rules
- Failure mode testing
- Stress testing frameworks
- Model monitoring thresholds
- Fallback mechanisms
- Security patch management
- Penetration testing scope
- Incident response alignment
- Logging for security events
- Threat modeling integration
Module 10. Ongoing Monitoring and Post-Market Surveillance
Establish continuous compliance mechanisms required under Article 62.
12 chapters in this module
- Performance degradation alerts
- Bias drift detection
- User feedback channels
- Incident logging system
- Regular audit scheduling
- Model retesting criteria
- Version update triggers
- Stakeholder review cycles
- Complaint handling process
- Trend analysis for risks
- Reporting to management
- Regulatory update tracking
Module 11. Vendor and Third-Party Management
Manage compliance obligations across vendor-supplied AI systems and third-party components.
12 chapters in this module
- Due diligence for providers
- Contractual clauses for compliance
- Subcontractor oversight
- Open source component tracking
- License compliance verification
- Third-party audit rights
- Liability allocation clauses
- Warranty validation
- Performance benchmarking
- Change notification requirements
- Exit strategy planning
- Compliance dependency mapping
Module 12. Audit Readiness and Regulatory Engagement
Prepare for scrutiny from national authorities and notified bodies with confidence.
12 chapters in this module
- Documentation organization
- Internal audit protocols
- Mock audit exercises
- Regulator communication plan
- Document production workflow
- Response time commitments
- Cross-border coordination
- Legal counsel integration
- Nonconformity reporting
- Corrective action planning
- Follow-up evidence submission
- Lessons learned documentation
How this maps to your situation
- When rolling out a new high-risk AI system
- Before a regulatory audit cycle
- During third-party vendor integration
- After a model update or retraining event
Before vs. after
Before
AI Act compliance feels fragmented, tool-specific, or audit-unready.
After
You produce consistent, defensible, reusable artefacts that satisfy technical and organizational requirements.
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 working practitioners to complete in under 6 weeks with consistent pacing.
If nothing changes
Organizations with incomplete AI Act implementation face enforcement actions, reputational damage, and blocked deployments in EU markets.
How this compares to the alternatives
Unlike vendor-specific tutorials or executive summaries, this course delivers implementation-grade mastery of the AI Act with reusable patterns, templates, and technical depth.
Frequently asked
Is this course focused on Databricks or any specific platform?
No. It is platform-agnostic and focuses on the EU AI Act's technical and organizational requirements, making it applicable across data and AI systems.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive templates I can use immediately?
Yes. Each module includes downloadable, editable templates and worked examples tailored to AI Act compliance artefacts.
$199 one-time. Approximately 3 hours per module, designed for working practitioners to complete in under 6 weeks with consistent pacing..
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