A tailored course, built for your situation
Mastering AI Act for Data Platform Governance Practitioners
Build defensible, executive-visible AI compliance frameworks aligned with emerging global standards.
$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.
Invisible work in complex data ecosystems often stays unseen by leadership, no matter how critical.
The situation this course is for
Skilled practitioners deliver foundational governance every day, but without structured visibility, those contributions remain below the executive line. Even comprehensive controls can go unnoticed when they're not framed within strategic regulatory outcomes.
Who this is for
Senior data governance practitioner at a high-growth tech firm, working at the intersection of analytics platforms and regulatory readiness, with hands-on experience in Power BI, Power Apps, and cross-system data orchestration.
Who this is not for
This is not for junior analysts, platform sales teams, or engineers focused solely on model tuning. It's for practitioners who own delivery of governed systems and want their work seen.
What you walk away with
- Map AI Act requirements directly to existing data workflows in Power BI and Power Apps environments
- Produce compliance-ready documentation that surfaces your role in risk mitigation
- Structure artefacts that get referenced in leadership reviews without prompting
- Demonstrate strategic alignment between technical execution and regulatory outcomes
- Position your contributions as central to external audit narratives
The 12 modules (with all 144 chapters)
Module 1. Understanding the AI Act’s Core Obligations
Break down the legal scope of the AI Act with focus on high-risk AI systems in enterprise analytics. Identify where Power BI and Power Apps intersect with regulated decision-making.
12 chapters in this module
- Scope of the AI Act
- High-risk AI classification
- Prohibited AI practices
- Obligations for deployers
- Role of system integrators
- Data transparency mandates
- Human oversight clauses
- Documentation requirements
- Conformity assessments
- Market surveillance rules
- Penalties and enforcement
- Geographic applicability
Module 2. Mapping AI Act to Data Platform Workflows
Translate high-level obligations into specific controls within Power BI and Power Apps environments. Focus on traceability, access logging, and decision explainability.
12 chapters in this module
- Workflow ingestion points
- Data provenance tracking
- User access logging
- Change control processes
- Model input transparency
- Output logging standards
- Version control integration
- Alerting thresholds
- Audit trail design
- Retention policies
- Role-based access mapping
- Approval workflows
Module 3. Designing Compliance-First Reporting Layers
Build reports that satisfy both operational needs and regulatory scrutiny. Structure outputs to serve internal governance and external evidence requirements.
12 chapters in this module
- Regulatory vs operational reports
- Evidence-ready dashboards
- Attribution fields
- Versioned report artefacts
- Change logs in Power BI
- Automated compliance summaries
- Anomaly detection flags
- User role tagging
- Exportable report formats
- Audit-friendly visuals
- Data lineage integration
- Approval trail capture
Module 4. Establishing Governance Boundaries in Low-Code Tools
Define clear ownership and controls within Power Apps environments where citizen development meets enterprise risk. Create enforceable standards without stifling innovation.
12 chapters in this module
- Citizen developer risks
- Pre-approved component libraries
- Governance gateway process
- App registration workflow
- Data connection policies
- Environment segmentation
- Monitoring for shadow IT
- User behavior analytics
- Decommissioning protocols
- Compliance checklist integration
- Stakeholder sign-off steps
- Documentation automation
Module 5. Documentation Strategy for Audit Readiness
Produce living, up-to-date documentation that withstands regulator scrutiny. Focus on clarity, completeness, and audit trail integrity.
12 chapters in this module
- System of record definition
- Version-controlled artefacts
- Automated changelogs
- Stakeholder attestation
- Control mapping templates
- Risk assessment logs
- Incident response records
- Training completion tracking
- Policy acknowledgment
- Third-party assurance
- Internal review cycles
- External audit prep
Module 6. Building Executive-Visible Governance Outputs
Structure compliance work so it naturally surfaces in leadership conversations. Design outputs that get passed up, not buried.
12 chapters in this module
- Leadership summary formats
- Risk heatmaps
- Compliance dashboards
- Monthly governance briefs
- Exception escalation paths
- Cross-functional alignment
- Board-level summary extraction
- Regulator-facing narratives
- Audit status tracking
- Remediation timelines
- Resource need signaling
- Strategic initiative linkage
Module 7. Managing Third-Party AI Risk in Integrations
Evaluate and govern AI-powered components from external vendors embedded in Power Apps and Power BI workflows. Ensure compliance extends beyond internal systems.
12 chapters in this module
- Vendor AI disclosure
- Integration risk scoring
- Contractual obligations
- Third-party audits
- Data transfer rules
- Model performance SLAs
- Bias testing requirements
- Update notification clauses
- Exit strategy planning
- Dependency tracking
- Fallback mechanisms
- Service continuity
Module 8. Implementing Human Oversight Mechanisms
Design meaningful human-in-the-loop processes that satisfy AI Act requirements without creating operational bottlenecks.
12 chapters in this module
- High-risk decision flags
- Review queue design
- Escalation criteria
- Override logging
- Reviewer qualifications
- Training for oversight
- Automated alert triggers
- Fallback procedures
- Intervention tracking
- Timeliness benchmarks
- Audit sampling
- Process refinement
Module 9. Data Quality Assurance Under the AI Act
Ensure data feeding AI systems meets required standards for accuracy, completeness, and relevance. Implement checks that support compliance and performance.
12 chapters in this module
- Data fitness assessment
- Bias detection methods
- Anomaly detection
- Source reliability scoring
- Completeness checks
- Timeliness validation
- Duplicate detection
- Outlier handling
- Imputation rules
- Data refresh monitoring
- Validation rule sets
- Automated quality scoring
Module 10. Security and Resilience for AI Systems
Apply security best practices to protect AI-powered workflows in Power BI and Power Apps from attacks and failures.
12 chapters in this module
- Threat modeling
- Model poisoning risks
- Adversarial testing
- Access control review
- Encryption standards
- Incident response plan
- Breach notification
- Resilience testing
- Fail-safe operation
- Backup processes
- Recovery time objectives
- Penetration testing
Module 11. Cross-Functional Coordination for Compliance
Lead alignment between data teams, legal, compliance, and business units to ensure cohesive AI governance implementation.
12 chapters in this module
- Stakeholder mapping
- Governance council setup
- RACI definition
- Meeting cadence design
- Conflict resolution
- Shared artefact ownership
- Communication protocols
- Escalation paths
- Joint training
- Feedback loops
- Progress reporting
- Cross-team incentives
Module 12. Sustaining Compliance Beyond Initial Implementation
Create systems that maintain compliance over time, adapting to changes in regulations, technology, and business needs.
12 chapters in this module
- Change impact assessment
- Regulation monitoring
- Update deployment
- Continuous training
- Audit trail retention
- Process review cycles
- Lessons learned capture
- Technology refresh
- Compliance debt tracking
- Stakeholder re-engagement
- Succession planning
- Organizational memory
How this maps to your situation
- Implementing the AI Act in enterprise analytics
- Governance for low-code application growth
- Executive communication of compliance efforts
- Sustaining regulatory alignment in fast-moving environments
Before vs. after
Before
Governance work remains embedded in systems, known only to technical peers.
After
Compliance outcomes are structured to surface in leadership discussions, making contributions visible and valued.
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, designed for flexible, self-paced learning.
If nothing changes
Continuing without structured visibility means critical work stays below the line, limiting recognition and influence despite technical excellence.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to practitioners using Power BI and Power Apps in regulated environments, with direct application to AI Act requirements and real-world governance challenges.
Frequently asked
Is this relevant if I don't work in the EU?
Yes , the AI Act is setting a global benchmark, much like GDPR did. Multinational organizations are aligning internal standards to meet its requirements regardless of geography.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me get noticed by senior leadership?
Yes , the course teaches how to structure compliance work so it naturally surfaces in leadership reviews and strategic discussions.
$199 one-time. Approximately 3-4 hours per module, designed for flexible, self-paced learning..
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