A tailored course, built for your situation
Mastering AI Act for Project Management Practitioners
Deliver compliant AI systems faster with a structured, repeatable implementation roadmap.
$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.
Rework loops and late-stage compliance gaps slow down AI project delivery.
The situation this course is for
Even well-managed AI initiatives face last-minute compliance adjustments when governance isn’t built into the project lifecycle. Teams that wait until final review to address AI Act requirements face delays, escalations, and costly revisions. The gap isn’t technical capability, it’s the absence of a clear, project-integrated compliance pathway.
Who this is for
Senior project managers in tech firms navigating emerging AI regulation, focused on on-time, auditable delivery.
Who this is not for
Individuals not involved in technical project delivery or AI system governance.
What you walk away with
- Produce AI Act compliance documentation that passes internal audit on first submission
- Integrate compliance checkpoints directly into sprint planning and milestone reviews
- Reduce time from initial scoping to final artefact completion by 40-60%
- Own end-to-end delivery of conformity assessments without depending on external legal review
- Anticipate regulator questions with pre-built evidence packages tied to project deliverables
The 12 modules (with all 144 chapters)
Module 1. AI Act Foundations for Delivery Teams
Understand the AI Act’s binding requirements in plain project terms, scope, risk classifications, and mandatory documentation without legal jargon.
12 chapters in this module
- Overview of AI Act structure
- Regulated AI use cases under Title III
- Prohibited practices to avoid
- High-risk vs non-high-risk classification
- Obligations for deployers and developers
- Geographic scope of enforcement
- Timeline for compliance deadlines
- Relationship to other standards
- Key definitions in plain terms
- The role of technical documentation
- Conformity assessment types
- Penalties for non-compliance
Module 2. Project Integration of Compliance Milestones
Map AI Act requirements directly to project phases, initiation, design, testing, and deployment, with clear ownership and handoffs.
12 chapters in this module
- Aligning project phases with Article 16
- Compliance gates in sprint planning
- Defining responsible roles by phase
- Documenting design choices early
- Risk assessment integration
- Stakeholder sign-off workflows
- Versioning compliance outputs
- Tracking changes in documentation
- Automating evidence capture
- Milestone-based audit trails
- Integration with Jira workflows
- Cross-functional review timing
Module 3. Building the Technical Documentation Package
Assemble the complete dossier required under Article 19, step by step, module by module, with real-world templates.
12 chapters in this module
- Structure of the technical file
- System purpose and description
- Intended use documentation
- Risk management approach
- Data provenance and quality
- Human oversight mechanisms
- Accuracy and performance metrics
- Transparency requirements
- Post-deployment monitoring
- Revision history templates
- Evidence traceability matrix
- Final compilation checklist
Module 4. Conformity Assessment Roadmap
Navigate the self-certification process with confidence, knowing exactly what needs to be reviewed, by whom, and when.
12 chapters in this module
- Determining assessment type
- Internal review steps
- Checklist for completeness
- Documenting conformity claims
- Management sign-off process
- Third-party involvement triggers
- External audit preparation
- Timeline for sign-off
- Version control standards
- Handling updates and patches
- Retirement of AI systems
- Archiving requirements
Module 5. Risk Management Framework Integration
Embed AI Act risk requirements into existing risk processes without duplication or overhead.
12 chapters in this module
- Mapping to ISO 31000
- Classifying AI-specific risks
- Ongoing monitoring protocols
- Risk register adaptation
- Thresholds for escalation
- Mitigation strategy templates
- Human-in-the-loop design
- Fallback mechanisms
- Bias detection frequency
- Performance degradation alerts
- Incident response linkage
- Risk documentation standards
Module 6. Data Governance and Provenance Tracking
Ensure training data lineage and data quality meet AI Act standards with minimal overhead.
12 chapters in this module
- Data sourcing documentation
- Data cleaning processes
- Bias assessment protocols
- Data set versioning
- Labeling methodology records
- Data retention periods
- Third-party data use
- Geolocation data handling
- Personal data linkage
- Data quality metrics
- Documentation automation
- Audit readiness checks
Module 7. Human Oversight and Monitoring Design
Design effective human-in-the-loop controls that satisfy Articles 14 and 15 without slowing responsiveness.
12 chapters in this module
- Defining meaningful control
- Situations requiring human input
- Alert thresholds and design
- User override mechanisms
- Monitoring interface design
- Training for human reviewers
- Response time benchmarks
- Escalation protocols
- Logging reviewer actions
- Performance feedback loops
- Annual review of oversight
- Reporting on intervention rates
Module 8. Transparency and User Communication
Meet disclosure obligations clearly and efficiently, without overcomplicating user-facing materials.
12 chapters in this module
- User instructions templates
- Disclosure of AI use
- Clarity in plain language
- Accessibility standards
- Multilingual requirements
- API documentation needs
- Provider identification
- System capabilities disclosure
- Limitations communication
- Update notification process
- User complaint mechanisms
- Record of disclosures
Module 9. Accuracy and Performance Benchmarking
Define and validate system performance with documented, repeatable methods acceptable to regulators.
12 chapters in this module
- Defining performance metrics
- Testing under real conditions
- Bias and fairness testing
- Drift detection protocols
- Stress testing scenarios
- Benchmarking against baselines
- Error rate thresholds
- Reporting accuracy over time
- Validation dataset design
- Model retraining triggers
- Documentation of results
- Third-party validation
Module 10. Post-Deployment Monitoring and Updates
Establish lightweight, sustainable monitoring that fulfills Article 71 obligations and prevents compliance backsliding.
12 chapters in this module
- Monitoring frequency
- Automated alerts setup
- Performance degradation signs
- User feedback channels
- Incident logging
- Update approval process
- Version control protocols
- Patch deployment documentation
- Retraining validation
- Decommissioning tracking
- Annual compliance review
- Reporting to internal audit
Module 11. Cross-Functional Alignment and Stakeholder Management
Secure buy-in from legal, engineering, and product teams with precise, project-aligned communication.
12 chapters in this module
- Stakeholder mapping
- Tailoring messaging by role
- Compliance milestone reporting
- Conflict resolution paths
- Escalation procedures
- Legal-review efficiency
- Engineering collaboration
- Product team alignment
- Vendor coordination
- External auditor prep
- Regulator engagement
- Internal audit liaison
Module 12. Audit-Ready Artefact Production
Produce complete, organized, and defensible documentation packages on demand, without last-minute scramble.
12 chapters in this module
- Folder structure design
- Document naming conventions
- Version control setup
- Access control policies
- Evidence collection workflow
- Checklist for completeness
- Internal pre-audit review
- Response to auditor queries
- Revision history format
- Gap remediation process
- External audit coordination
- Post-audit follow-up
How this maps to your situation
- Initiating a new AI project under AI Act scope
- Mid-cycle review of compliance readiness
- Preparing for internal audit or certification
- Responding to regulator inquiry
Before vs. after
Before
Compliance activities are bolted on late, causing rework, timeline pressure, and uncertainty during audits.
After
Compliance is embedded from kickoff, enabling faster delivery of auditable, regulator-ready artefacts on schedule.
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: 6-8 hours total, designed to be completed in short, focused sessions aligned with real project cycles.
If nothing changes
Projects face increasing scrutiny and delay risk as enforcement teams gain capacity. Organisations that don’t internalize AI Act workflows will cede velocity to those who do.
How this compares to the alternatives
Unlike generic AI governance overviews, this course delivers project-integrated workflows, concrete templates, and a step-by-step path from intent to artefact, specifically for delivery leads.
Frequently asked
Is this course focused on legal interpretation of the AI Act?
No. It focuses on practical implementation for project teams, translating requirements into actionable steps, documentation, and deliverables without legal abstraction.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use this if I’m not in the EU?
Yes. If your organisation deploys AI systems used in the EU, the AI Act applies. The implementation methods are also transferable to other regulatory frameworks.
$199 one-time. 6-8 hours total, designed to be completed in short, focused sessions aligned with real project cycles..
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