Courses
Master the skills, learn AI and prove your expertise with fast, focused micro‑explainers.
AI Business and Economics
Short lessons for founders, leaders and professionals judging AI opportunities and wider effects. Each lesson teaches one idea in about a minute, using small fictional examples, so you can separate useful adoption and measured business value from forecasts, aggregate claims and technology slogans.
Who Owns AI-Generated Work?
Short lessons for creators, product teams and leaders assessing intellectual assets and AI use. Each lesson teaches one idea in about a minute, using small fictional examples, so you can ask precise questions about human contribution, data rights, supplier terms and intellectual-property oversight.
The EU AI Act for Builders
Short lessons for engineers and AI project owners mapping applicable EU requirements to evidence. Each lesson teaches one idea in about a minute, using small fictional examples, so you can separate role and use assessment from engineering implementation without claiming that a framework alone proves compliance.
Responsible AI and Accountability
Short lessons for aI builders, organisational leaders and people responsible for affected-user outcomes. Each lesson teaches one idea in about a minute, using small fictional examples, so you can turn ethical goals into owned lifecycle actions, explanations, contestable decisions and proportionate change controls.
Securing AI Systems
Short lessons for builders and security practitioners defending model-backed workflows. Each lesson teaches one idea in about a minute, using small fictional examples, so you can identify trust boundaries and enforce limited authority with defensive tests and evidence-based incident response.
Following the Request
Short lessons for developers and operators investigating real production behaviour. Each lesson teaches one idea in about a minute, using small fictional examples, so you can use correlated telemetry to diagnose requests while managing instrumentation overhead, privacy and pipeline reliability.