A tailored course, built for your situation
Influence across more business units with AI Act readiness
Turn emerging regulatory clarity into broader impact across functions and regions
$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.
Falling behind on AI compliance conversations limits your visibility across teams
The situation this course is for
As AI governance becomes operational, practitioners who can’t bridge compliance and implementation get siloed. Their input comes too late, their artefacts aren’t reused, and their influence stays local. Without structured frameworks, they’re reactive, answering requests instead of shaping requirements.
Who this is for
Senior IC in tech, embedded in compliance-adjacent infrastructure work, navigating AI regulations across teams
Who this is not for
This is not for entry-level staff, pure software developers without governance exposure, or consultants selling generic compliance frameworks.
What you walk away with
- Lead AI Act control discussions across infrastructure, product, and regional teams
- Produce reusable mappings between AI Act articles and technical controls
- Anticipate compliance questions before they come from legal or audit
- Become the internal reference for AI Act implementation across business units
- Shape design decisions in early-phase projects, not just review them after
The 12 modules (with all 144 chapters)
Module 1. AI Act core structure and jurisdictional reach
Understand the binding articles, territorial scope, and risk-tiered obligations shaping global AI deployments. Learn how the AI Act applies across regions and subsidiaries, and identify where your current systems sit in the compliance spectrum. This foundation enables accurate interpretation when other teams misread boundaries.
12 chapters in this module
- Scope of Title III
- High-risk system criteria
- General-purpose AI obligations
- Territorial application
- Post-market monitoring rules
- National enforcement bodies
- Extraterritorial reach
- Interaction with NIST AI RMF
- Timeframes for compliance
- Conformity assessment pathways
- Technical documentation mandates
- Role of notified bodies
Module 2. Mapping AI Act to network and data infrastructure
Translate high-level obligations into specific infrastructure controls. Identify where your network architecture intersects with data provenance, model monitoring, and system logging requirements. This module equips you to speak fluently with platform teams about compliance-by-design.
12 chapters in this module
- Data lineage for training sets
- Model versioning controls
- System logging thresholds
- Network segmentation for AI workloads
- Access logging for API endpoints
- Data retention boundaries
- Model drift detection triggers
- Incident response thresholds
- Third-party model integrations
- Model explainability access points
- Fail-safe mechanism design
- Human oversight touchpoints
Module 3. Cross-functional control ownership models
Define clear roles between legal, compliance, engineering, and product teams for AI Act adherence. Learn how to own the control narrative without overstepping, positioning your team as enablers, not blockers.
12 chapters in this module
- Control owner vs implementer
- RACI for high-risk AI
- Escalation pathways for non-compliance
- Change approval gates
- Compliance checkpoint placement
- Documentation handoff points
- Legal sign-off triggers
- Engineering validation steps
- Product roadmap alignment
- Vendor delivery dependencies
- Audit trail ownership
- Cross-region alignment
Module 4. Building repeatable AI Act evidence packages
Design audit-ready artefacts that travel across teams and cycles. Learn how to structure documentation that doesn’t need reinvention, making your work compound across projects and regions.
12 chapters in this module
- Evidence package checklist
- Change tracking templates
- Control versioning system
- Automated evidence collection
- Manual override logging
- Incident response records
- Third-party audit logs
- Model performance benchmarks
- Bias assessment documentation
- Stakeholder communication logs
- Compliance exception registers
- Continuous monitoring reports
Module 5. Anticipating regulator expectations
Stay ahead of enforcement trends by understanding how national bodies interpret AI Act language. Learn which articles are likely to be tested first, and how to prepare your organization proactively.
12 chapters in this module
- EBA and EDPB guidance watchlist
- Enforcement priority areas
- Common non-compliance patterns
- Regulator communication protocols
- Mock audit preparation
- Corrective action planning
- Remediation tracking
- Cooperation posture
- Transparency expectation gaps
- Public reporting thresholds
- Investor disclosure risks
- Media response coordination
Module 6. AI Act and data protection alignment
Integrate GDPR and AI Act requirements into unified control frameworks. Avoid duplication and conflict by mapping overlapping obligations across privacy and AI governance.
12 chapters in this module
- Lawful basis mapping
- Data minimization for AI
- Consent mechanisms
- Right to explanation
- Data subject access flows
- Automated decision appeals
- Privacy-by-design integration
- DPIA expansion for AI
- Data protection officer role
- Joint controller arrangements
- Cross-border data flows
- Breach notification overlap
Module 7. Vendor and third-party compliance oversight
Ensure external providers meet AI Act standards. Learn how to assess, monitor, and enforce compliance across models, APIs, and managed services.
12 chapters in this module
- Vendor due diligence checklist
- Contractual obligation clauses
- Third-party audit rights
- Model documentation reviews
- Subprocessor tracking
- Performance monitoring SLAs
- Compliance change notifications
- Right to audit provisions
- Escalation thresholds
- Exit strategy planning
- Liability boundary definition
- Insurance certificate review
Module 8. Internal training and awareness programs
Design role-specific onboarding and refreshers that scale across teams. Help product managers, engineers, and legal understand their AI Act responsibilities without overwhelming them.
12 chapters in this module
- Audience segmentation
- Role-based learning paths
- Training delivery formats
- Compliance checkpoint integration
- Knowledge validation steps
- Manager enablement kits
- New hire onboarding
- Executive briefing content
- Regional adaptation process
- Language localization
- Feedback loops
- Training effectiveness metrics
Module 9. Incident response for AI non-compliance
Prepare for enforcement actions by building a clear, cross-functional response plan. Know what to do when regulators question your systems, and how to minimize reputational risk.
12 chapters in this module
- Incident classification tiers
- Internal reporting chain
- Legal counsel activation
- Comms team coordination
- Evidence preservation
- Regulator engagement protocol
- Remediation planning
- Timeline for response
- Corrective action reporting
- Product impact assessment
- Stakeholder notification
- Post-incident review
Module 10. Scaling compliance across regions
Extend AI Act readiness beyond EU borders. Understand how other jurisdictions are aligning, or diverging, and position your team as the global standard-bearer.
12 chapters in this module
- UK AI approach
- US state-level developments
- Canada AI and Data Act
- Singapore Model AI Governance Framework
- Japan AI guidelines
- China AI regulations
- Australia AI ethics principles
- India draft AI policy
- Cross-jurisdictional mapping
- Local legal advisor engagement
- Regional exception handling
- Global compliance playbooks
Module 11. Continuous monitoring and improvement
Move from one-time compliance to ongoing assurance. Design systems that detect drift, track changes, and adapt to evolving interpretations.
12 chapters in this module
- Model performance thresholds
- Drift detection frequency
- Human-in-the-loop checks
- Control effectiveness reviews
- Change impact assessments
- Stakeholder feedback loops
- Regulator guidance tracking
- Benchmarking against peers
- Internal audit coordination
- Remediation backlog management
- Compliance debt register
- Quarterly improvement cycle
Module 12. Positioning yourself as the go-to AI Act practitioner
Turn technical mastery into influence. Learn how to communicate value, share artefacts strategically, and become the default reference across teams and regions.
12 chapters in this module
- Internal knowledge sharing
- Cross-functional meeting cadence
- Best practice dissemination
- Mentorship opportunities
- Executive visibility tactics
- Success story documentation
- Lessons learned sharing
- Internal blog posts
- Presentation templates
- Peer review participation
- External speaking opportunities
- Career path alignment
How this maps to your situation
- Preparing for first AI Act audit
- Onboarding new regional teams
- Responding to legal inquiry
- Scaling governance from pilot to production
Before vs. after
Before
Compliance efforts are reactive, siloed, and ad-hoc, dependent on individual champions.
After
Proactive, repeatable, and scalable AI Act readiness that compounds across teams and regions.
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 real-world workloads.
If nothing changes
Without structured AI Act readiness, teams remain reactive, compliance becomes inconsistent, and influence stays local. Missed opportunities to lead translate into diminished career trajectory and organizational impact.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses specifically on AI Act implementation in technical environments, bridging governance, engineering, and operations with actionable, reusable artefacts.
Frequently asked
Is this course technical or policy-focused?
It bridges both. You’ll learn how to interpret AI Act articles and turn them into technical controls, evidence packages, and cross-functional workflows.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I share the templates with my team?
Yes, all templates and the implementation playbook are licensed for team-wide use within your organization.
$199 one-time. Approximately 3 hours per module, designed for integration with real-world workloads..
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