From regulatory expectations to working controls
Become better
Course Release Date: JULY 2026
Who Is This For?
Built for practitioners who are responsible for making compliance real.
A method that works across any regulation.
The course runs a single case study from start to finish a fictional firm navigating the EU AI Act, ISO 42001, and NIST AI RMF simultaneously, alongside GDPR and client requirements. Working through it, you build two artefacts: a crosswalk map showing how external regulatory expectations translate into a unified set of internal controls, and a mechanism portfolio demonstrating how your most compliance-critical controls are implemented in practice.
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Parse regulatory text for what it actually requires - not just what it says
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Build a crosswalk map that unifies expectations from multiple regulatory sources into a single control set
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Design controls that produce compliance evidence as a byproduct of governance that works
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Construct a mechanism portfolio that demonstrates how compliance-critical controls function in practice
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Apply the same method to any regulation, standard, or framework your organisation faces
Your Guide
James Kavanagh
James spent two decades building governance programs at Microsoft and Amazon — not advising on them, doing them. The AI Governance Practitioner Program is built on that experience. Every case study, every mechanism, every policy template comes from real implementation work at scale. When James teaches governance, he's teaching what he built and tested himself.
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Two ways to complete the AI Compliance Specialty Course.
The curriculum is the same either way. What differs is the pace, the structure, and how much support you want around you while you do the learn.
