A tailored course, built for your situation
Influence on AI Act compliance decisions through precise control mapping
Build authoritative, auditable AI governance artefacts that position you as the internal reference for AI Act readiness
$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.
Struggling to get heard when AI governance decisions are made?
The situation this course is for
Even strong technical contributors get left out of key AI compliance conversations because their artefacts lack the framing and traceability needed to influence peer reviewers and architecture leads.
Who this is for
Senior practitioner in technical delivery with cross-functional exposure to AI governance, navigating increasing expectations around compliance and oversight without formal authority.
Who this is not for
This is not for junior compliance staff, external auditors, or those seeking certification prep. It’s for experienced deliverers who need to increase influence without waiting for promotion.
What you walk away with
- Confidence to lead AI Act control mapping sessions with engineering and legal stakeholders
- Documentation frameworks that survive personnel changes and leadership shifts
- First access to vendor selection briefs due to trusted, repeatable output quality
- Recognition as the go-to reference when AI risk escalates across teams
- Efficient artefacts that reduce rework and pre-empt peer pushback
The 12 modules (with all 144 chapters)
Module 1. AI Act scope definition with stakeholder alignment
Define the boundaries of AI Act applicability in technical projects while securing early buy-in from legal and risk teams.
12 chapters in this module
- Identifying high-risk AI systems
- Mapping AI Act titles to use cases
- Classifying AI lifecycle stages
- Engaging legal on classification
- Documenting system purpose
- Assessing third-party reliance
- Tracking changes over time
- Versioning deployment records
- Flagging dual-use concerns
- Aligning with product roadmap
- Integrating with sprint planning
- Updating for new deployments
Module 2. Control mapping to AI Act Annex III requirements
Translate high-risk AI system characteristics into specific, actionable control statements that map directly to the AI Act.
12 chapters in this module
- Matching systems to Annex III
- Extracting control objectives
- Building control statements
- Linking data provenance
- Tracing model inputs
- Defining human oversight
- Setting performance thresholds
- Integrating bias checks
- Logging decision pathways
- Aligning with training data
- Validating documentation
- Updating for changes
Module 3. Data provenance and quality assurance frameworks
Establish robust data lineage and quality practices that satisfy AI Act data governance expectations.
12 chapters in this module
- Mapping training data sources
- Verifying data representativeness
- Documenting preprocessing steps
- Tracking data versioning
- Assessing data bias risks
- Mitigating data drift
- Logging data transformations
- Securing data access
- Auditing data usage
- Integrating with MLOps
- Automating data checks
- Reporting data lineage
Module 4. Technical documentation for conformity assessments
Build comprehensive technical documentation that satisfies AI Act conformity assessment requirements.
12 chapters in this module
- Structuring technical files
- Describing system architecture
- Documenting model design
- Recording training methodology
- Detailing input specifications
- Outlining output behavior
- Specifying intended use
- Logging version history
- Describing monitoring plans
- Integrating with CI/CD
- Generating documentation
- Updating for retraining
Module 5. Risk management system integration
Embed AI Act risk classification and mitigation practices into existing risk frameworks.
12 chapters in this module
- Classifying risk levels
- Integrating with ERM
- Designing risk controls
- Monitoring risk exposure
- Updating risk registers
- Reporting to leadership
- Aligning with ISO 31000
- Linking to incident response
- Reviewing risk annually
- Scaling for new models
- Documenting exceptions
- Auditing risk decisions
Module 6. Transparency and user information requirements
Ensure AI systems provide clear, accessible information to users as required by the AI Act.
12 chapters in this module
- Identifying user groups
- Defining transparency needs
- Writing user instructions
- Designing interface prompts
- Logging user interactions
- Providing model details
- Ensuring accessibility
- Translating documentation
- Updating for changes
- Integrating with support
- Measuring comprehension
- Auditing disclosures
Module 7. Human oversight mechanisms
Design effective human oversight processes for high-risk AI systems in line with AI Act mandates.
12 chapters in this module
- Defining oversight roles
- Setting intervention points
- Designing escalation paths
- Training oversight staff
- Logging interventions
- Measuring effectiveness
- Reviewing oversight data
- Updating procedures
- Integrating with alerts
- Aligning with SLAs
- Documenting decisions
- Auditing oversight
Module 8. Accuracy and performance monitoring
Implement monitoring systems that track AI system performance and maintain accuracy over time.
12 chapters in this module
- Defining accuracy metrics
- Setting performance thresholds
- Monitoring drift
- Logging performance data
- Alerting on degradation
- Retraining triggers
- Validating updates
- Reporting to stakeholders
- Integrating with dashboards
- Auditing results
- Updating baselines
- Documenting exceptions
Module 9. Record-keeping and audit trail design
Build immutable, complete audit trails that support inspection and compliance verification under the AI Act.
12 chapters in this module
- Identifying record requirements
- Designing logging systems
- Securing log access
- Ensuring timestamp accuracy
- Storing logs securely
- Preserving logs over time
- Linking logs to decisions
- Integrating with SIEM
- Generating audit reports
- Testing log integrity
- Updating schema
- Documenting retention
Module 10. Third-party AI system assessment
Evaluate third-party AI systems for AI Act compliance before integration or procurement.
12 chapters in this module
- Scoping third-party use
- Assessing vendor claims
- Reviewing technical docs
- Validating risk classification
- Auditing data practices
- Testing oversight mechanisms
- Evaluating performance
- Checking transparency
- Assessing security
- Negotiating access
- Documenting findings
- Recommending approval
Module 11. Internal audit preparation and response
Prepare for internal and external audits with complete, well-organized AI Act compliance evidence.
12 chapters in this module
- Mapping audit scope
- Gathering documentation
- Validating controls
- Preparing interview responses
- Organizing evidence
- Simulating audits
- Identifying gaps
- Prioritizing fixes
- Updating artefacts
- Documenting responses
- Tracking follow-ups
- Improving for next cycle
Module 12. Cross-functional influence through governance artefacts
Use well-constructed governance outputs to increase visibility and shape decisions across engineering, legal, and leadership.
12 chapters in this module
- Positioning artefacts as reference
- Distributing documentation
- Inviting peer review
- Incorporating feedback
- Presenting to leadership
- Aligning across teams
- Building templates
- Reducing rework
- Earning early access
- Shaping vendor track
- Influencing architecture
- Establishing ownership
How this maps to your situation
- When launching a new AI system
- Before vendor renewal cycles
- After audit findings
- During leadership strategy reviews
Before vs. after
Before
Working reactively, producing compliance artefacts that get reviewed or challenged by others, with limited visibility into strategic decisions.
After
Proactively shaping AI Act compliance with trusted documentation, consistently included in vendor selection and architecture reviews.
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 2.5 hours per module, designed to be completed alongside regular work over 4-6 weeks.
If nothing changes
Continuing to operate without influence means your technical expertise remains siloed, decisions happen without your input, and critical AI governance direction is set by teams less familiar with implementation realities.
How this compares to the alternatives
Unlike generic AI ethics courses or certification prep, this course delivers concrete, reusable artefacts and decision frameworks tailored to influencing real-world AI Act compliance outcomes in technical delivery roles.
Frequently asked
Who is this course designed for?
Senior technical contributors involved in AI system delivery who need to influence governance, compliance, and architecture decisions without formal authority.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover ISO 42001 or NIST AI RMF?
The primary anchor is the AI Act, but concepts align cleanly with ISO 42001 and NIST AI RMF where applicable.
$199 one-time. Approximately 2.5 hours per module, designed to be completed alongside regular work over 4-6 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