Finish the programme with four working artefacts: an AI Register, an AI prohibition policy, an incident runbook, and a costed ROI projection for your own business.
Each course stands alone. Together they give you a complete framework for responsible AI adoption.
Start here. The four levels of AI maturity — from exploring your data to a fully AI‑native operating model — and a self‑assessment to find exactly where your business sits today.
Understand the full AI attack surface across the model lifecycle — from training data to inference — and build the frameworks to defend your organisation.
Design and operate an AI governance programme that meets EU regulatory requirements, satisfies board-level accountability expectations, and protects your business.
Replace intuition-based AI adoption with a disciplined framework. Know when to deploy AI, when to hold back, and how to build a culture that makes the right calls every time.
These are working frameworks and checklists, not lectures.
Named, sourced cases from finance, healthcare, and employment law. See how failures actually unfolded.
Test your understanding at the end of each section with immediate feedback and explanations.
Self-assess your organisation's current posture and track where you stand.
The one thing you need from each lesson, highlighted and distilled so nothing gets lost.
Checklists, decision matrices, and workflows you can adapt and use immediately.
Mark lessons complete and pick up exactly where you left off.
Not written for AI researchers. Written for those who decide whether and how AI gets used.
