A tailored course, built for your situation
Direct oversight over AI Act implementation planning
A 12-module course to own the design and execution of AI Act compliance initiatives within your current scope
$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.
Who this is for
Senior technical leader driving GenAI adoption with influence across engineering and policy teams
Who this is not for
Individuals seeking entry-level compliance training or certification prep
What you walk away with
- Own end-to-end AI Act implementation planning within current role
- Define control sequencing aligned to deployment timelines
- Lead cross-functional alignment without escalation
- Produce audit-ready implementation artefacts on demand
- Shape vendor engagement criteria based on compliance milestones
The 12 modules (with all 144 chapters)
Module 1. Foundations of AI Act scope interpretation
Learn how to parse the AI Act’s defined obligations and map them to existing data and model workflows in production environments.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 2. Control gap analysis using live deployment patterns
Conduct rapid assessments of current GenAI systems against AI Act requirements using field-tested evaluation templates.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 3. Prioritisation frameworks for high-risk systems
Apply decision matrices to classify systems by risk tier and assign compliance effort proportionally.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 4. Stakeholder alignment playbook
Navigate coordination between legal, ML engineering, and product using pre-built communication protocols.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 5. Documentation standards for audit readiness
Generate consistent, regulator-aligned records for system design, data provenance, and risk assessment.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 6. Vendor compliance tracking mechanisms
Implement systematic review processes for third-party tools used in AI pipelines.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 7. Internal audit coordination workflow
Prepare for internal reviews with standardised evidence packaging and timeline management.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 8. Transparency requirement implementation
Design user-facing disclosures that meet AI Act clarity standards without slowing deployment.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 9. Human oversight protocol design
Define when and how human reviewers intervene in AI outputs, aligned to risk classification.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 10. Data governance integration
Embed AI Act data lineage and quality checks into existing cloud data architectures.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 11. Incident response planning
Build response playbooks for non-compliant AI behaviour with escalation thresholds and reporting triggers.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
Module 12. Compliance sustainment model
Maintain adherence over time with automated monitoring and periodic reassessment cycles.
12 chapters in this module
- c1
- c2
- c3
- c4
- c5
- c6
- c7
- c8
- c9
- c10
- c11
- c12
How this maps to your situation
- s1
- s2
- s3
- s4
Before vs. after
Before
AI Act compliance feels like a shared responsibility with unclear ownership and frequent cross-team misalignment
After
You lead the implementation plan with defined authority, clear artefacts, and predictable execution timelines
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 into real-time project work.
If nothing changes
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How this compares to the alternatives
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Frequently asked
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I use this without changing my job title?
Yes , the course is designed to expand your influence and decision rights within your current role.
Is AI Act the only framework covered?
Yes , the course focuses exclusively on operationalising the AI Act within technical leadership contexts.
$199 one-time. Approximately 3 hours per module, designed for integration into real-time project work..
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