A tailored course, built for your situation
Reference of choice on cross-functional AI Act alignment calls
Become the internal authority every team seeks out when navigating AI Act requirements
$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.
Being pulled into AI governance discussions without decision authority or clear frameworks
The situation this course is for
Teams across engineering, legal, and product are asking urgent questions about AI Act compliance, but no single person owns the interpretation. This creates reactive, fragmented responses, and missed opportunities for leadership to recognise your strategic impact.
Who this is for
Senior technical practitioner influencing AI governance without formal mandate, working at a data and AI platform company with growing regulatory exposure
Who this is not for
Entry-level compliance staff, external auditors, or consultants selling AI Act services to multiple clients
What you walk away with
- Lead AI Act interpretation discussions with confidence and structure
- Develop internally referencable position papers on key compliance thresholds
- Anticipate cross-functional questions with pre-mapped responses tied to actual organisational workflows
- Shape the internal definition of 'high-risk AI system' before it escalates to legal
- Build a documented, reusable response library that becomes the default starting point for new projects
The 12 modules (with all 144 chapters)
Module 1. First internal team to ship an AI Act conformity roadmap
Establish the initial structure for organisational AI Act readiness by defining scope, identifying high-risk systems, and mapping existing controls.
12 chapters in this module
- Defining AI under the AI Act
- Identifying deployed AI systems
- Categorising by risk tier
- Mapping existing data practices
- Aligning with engineering ownership
- Setting initial compliance thresholds
- Documenting decision rationale
- Creating a living inventory
- Prioritising first-mover projects
- Establishing review cadence
- Integrating with vendor due diligence
- Tracking update obligations
Module 2. Internal position papers that get cited in escalation paths
Transform technical assessments into authoritative internal documents that shape thinking across legal, product, and engineering.
12 chapters in this module
- Structuring arguments for legal teams
- Translating technical specs into risk assessments
- Citing relevant articles verbatim
- Building version-controlled references
- Incorporating stakeholder feedback
- Maintaining neutrality under pressure
- Linking to precedent decisions
- Creating repository of approved language
- Updating positions with new guidance
- Flagging unresolved grey areas
- Archiving superseded versions
- Indexing for searchability
Module 3. Pre-mapped responses to common cross-functional challenges
Anticipate and prepare for recurring questions from product managers, legal counsel, and security teams about compliance boundaries.
12 chapters in this module
- Will this model trigger transparency obligations
- Does logging meet Article 13 standards
- How to handle third-party model integration
- When does A/B testing become continuous monitoring
- Boundary between generative and narrow AI
- Data provenance expectations
- User interaction logging thresholds
- Human oversight implementation
- Incident reporting triggers
- Model update frequency limits
- Post-deployment monitoring design
- Fallback mechanism documentation
Module 4. Shaping the definition of high-risk AI internally
Influence how your organisation interprets and applies the high-risk classification before it reaches external auditors.
12 chapters in this module
- Understanding Annex III use cases
- Mapping internal systems to categories
- Building internal classification criteria
- Creating decision trees for product teams
- Setting thresholds for automated decisions
- Assessing biometric identification use
- Evaluating emotion recognition features
- Reviewing safety component dependencies
- Determining critical infrastructure links
- Analysing access to essential services
- Documenting exclusion justifications
- Updating classifications with case law
Module 5. Reusable response library adopted across project onboarding
Create a living knowledge base that reduces repetitive work and elevates consistency across new AI initiatives.
12 chapters in this module
- Template for AI register entries
- Standardised risk assessment format
- Checklist for documentation packages
- Model card integration points
- Data lineage disclosure framework
- Performance benchmarking thresholds
- Robustness testing criteria
- Accuracy monitoring frequency
- Bias detection process outline
- Accessibility compliance markers
- Version history tracking
- Audit trail requirements
Module 6. Escalation protocols that route to your desk first
Design intake and triage workflows so that complex AI Act questions default to your oversight.
12 chapters in this module
- Building intake form logic
- Routing rules by domain
- Setting response SLAs
- Creating escalation ladders
- Integrating with ticketing systems
- Automating initial responses
- Assigning technical reviewers
- Tracking resolution paths
- Reporting on query volume
- Identifying recurring gaps
- Feedback loop to training
- Maintaining protocol transparency
Module 7. Vendor review track owned from initiation to sign-off
Take full responsibility for evaluating third-party AI providers against AI Act requirements.
12 chapters in this module
- Assessing provider compliance claims
- Validating technical documentation
- Reviewing transparency obligations
- Auditing model training data
- Evaluating system robustness
- Checking human-in-the-loop design
- Analysing update processes
- Verifying record-keeping
- Confirming conformity assessment
- Mapping to internal policies
- Setting audit rights
- Managing ongoing assurance
Module 8. Internal training sessions led by you on AI Act fundamentals
Deliver actionable, role-specific guidance to engineering, product, and legal teams based on real organisational context.
12 chapters in this module
- Customising content by audience
- Designing hands-on workshops
- Creating role-based scenarios
- Integrating with onboarding
- Developing internal certifications
- Assessing knowledge retention
- Updating materials quarterly
- Incorporating real case studies
- Linking to policy documents
- Partnering with L&D teams
- Measuring adoption rates
- Soliciting feedback iteratively
Module 9. Ongoing monitoring framework tuned to actual deployment patterns
Move beyond static checklists to build continuous compliance aligned with how systems evolve.
12 chapters in this module
- Defining monitoring scope
- Setting up logging requirements
- Establishing anomaly detection
- Creating alert thresholds
- Reviewing incident logs
- Updating risk assessments
- Tracking performance drift
- Reporting on compliance status
- Conducting periodic audits
- Updating fallback procedures
- Revising human oversight
- Publishing compliance dashboards
Module 10. Documentation package accepted by notified bodies
Assemble technical files that meet external audit expectations without rework.
12 chapters in this module
- Compiling system descriptions
- Gathering design documentation
- Including risk assessments
- Attaching testing results
- Adding user manuals
- Providing API specifications
- Linking to data governance
- Verifying logging compliance
- Including update logs
- Demonstrating bias testing
- Showing human oversight
- Certifying completeness
Module 11. High-confidence exemption justifications for low-risk systems
Develop robust reasoning to exclude systems from strict obligations while maintaining regulatory goodwill.
12 chapters in this module
- Identifying eligible use cases
- Documenting decision rationale
- Citing relevant exceptions
- Gathering supporting evidence
- Obtaining internal sign-off
- Maintaining audit trail
- Updating with regulatory changes
- Responding to challenges
- Preserving technical neutrality
- Avoiding overstatement
- Balancing transparency and simplicity
- Archiving justification files
Module 12. Leadership recognition as AI governance authority
Solidify reputation as the go-to expert through visible contributions and consistent leadership presence.
12 chapters in this module
- Presenting quarterly updates
- Publishing internal memos
- Contributing to strategy sessions
- Mentoring junior staff
- Representing internally at forums
- Engaging with regulators
- Shaping external messaging
- Collaborating with industry groups
- Speaking at internal conferences
- Building cross-functional trust
- Highlighting successes
- Sustaining long-term influence
How this maps to your situation
- After a new AI project proposal
- During vendor selection for AI tools
- Before regulatory audit cycles
- When leadership requests compliance update
Before vs. after
Before
Reactive participation in AI governance conversations, dependent on others to define scope and priorities
After
Proactive leadership in AI Act interpretation, consistently sought out for guidance and decision support
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 to be completed at your pace over 6, 8 weeks.
If nothing changes
Continuing to operate reactively risks being bypassed in critical decisions, missing opportunities to shape policy, and remaining invisible to leadership during compliance escalations.
How this compares to the alternatives
Unlike generic AI ethics courses or broad compliance certifications, this program delivers specific, actionable frameworks tied directly to the AI Act and tailored to platform-scale implementation contexts.
Frequently asked
Is this course technical or policy-focused?
It bridges both, designed for practitioners who need to interpret policy and implement it in technical environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this if my company isn’t in the EU?
Yes, global firms serving EU markets must comply, and the AI Act is becoming a de facto benchmark worldwide.
$199 one-time. Approximately 3 hours per module, designed to be completed at your pace over 6, 8 weeks..
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