Governance became everyone's job. Nobody was taught it.
In three years, "AI governance" went from a research topic to a line in thousands of job descriptions. Regulation arrived: the EU AI Act, ISO/IEC 42001, national frameworks from Washington to Singapore. Education did not. Professionals handed AI responsibility have a choice between a two-day executive seminar priced like a holiday and a master's degree priced like a car. We exist to fill the gap between them.
The London School of AI Governance teaches the discipline in compact, rigorous, self-paced courses, priced so that the person who needs the skill can buy it this afternoon, and assessed so that the certificate means something when they do.
Why London
London is where the world expects standards to come from: in law, in finance, in professional education. The school is a UK company, its content is anchored in the global regulatory conversation, and its certificates are verifiable by anyone, anywhere, in seconds.
What the school commits to
Six commitments. Each one is checkable somewhere on this site rather than asserted here, which is the only kind worth publishing.
- Nothing is bought unseen. Every unit, learning outcome and assessment standard is published before anyone pays, on the programme page.
- The assessment is hard enough to mean something. Twenty-five questions per attempt, drawn from a randomised bank of sixty or more, at least 40 per cent of them applied scenarios rather than recall. Eighty per cent to pass, three attempts. The rules are set out in full on our standards page.
- Every certificate is checkable, by ID and by ID alone. The public register confirms the credential, level, learning hours, issue date and current status. It cannot be searched by name or email address, so nobody can trawl it for who holds what.
- We say what an attestation does not attest. Our registration number is published together with the registrar's own words about its limits, in the panel below.
- We declare our own AI use. AI tools are used in course production and we say so plainly. No course is published on AI output alone.
- Twenty bursary places a year. A full paid course of the learner's choosing, at no cost, sized so the commitment survives a busy quarter instead of quietly lapsing. What we publish against it is on our SDG 4 page.
Who is accountable
One named person sets the curriculum and assessment standards, reviews every course before it is published, and marks the Executive Certificate capstone. The school's quality framework is not outsourced.
That person is Willard Emmanuel Tan, Director of Studies: a practitioner-academic in AI governance, Certified AI Ethics and Governance Professional (NTU/Singapore Computer Society), Certified Responsible Generative AI Governance, and a Practitioner Certificate holder in data protection. He has developed curriculum to national skills-framework standards, taught and supervised at universities in the UK, Australia and Singapore, and advises organisations on AI governance in practice. His academic background spans computer science and cyber security, business analytics, and higher-education research.
The details
London School of AI Governance Ltd is registered in England and Wales, company number 17373376, incorporated 31 July 2026. Registered office: 167-169 Great Portland Street, 5th Floor, London, W1W 5PF. We are listed on the UK Register of Learning Providers, UKPRN 10102289.
UKRLP verifies a provider's legal identity. In the register's own words it is "not an endorsement or an accreditation of any kind", and no quality checks are made on the provision a listed organisation offers. We say so here because our standards page commits us to stating exactly what an attestation attests, and a registration number published without that sentence invites a reader to assume more than it means.
The London School of AI Governance provides professional and continuing education courses. Its certificates are professional continuing education credentials, not academic degrees, diplomas or government-recognised qualifications.