Foundational AI for Journalists: a practical bootcamp
15 January 2026 - Build confident, ethical, day-to-day AI workflows — from brief, research and pitching to editing and publication — in one hands-on day
15 January 2026 - Build confident, ethical, day-to-day AI workflows — from brief, research and pitching to editing and publication — in one hands-on day
Date: 10:00, 15 January 2026
Location: London School of Economics
Cost: £330.00 + VAT
Trainer: Harriet Meyer
AI is radically changing journalism, but most of us are still dabbling. This small-group, in-person bootcamp shows you how to use the big AI models properly and safely. Learn how to apply essential AI skills from brief, research through to copy and publication, with practical editorial workflows you can use the next day that'll save hours. The course will be relevant to all the major large language models, and cover their strengths and weaknesses (ChatGPT, Gemini, Claude and Copilot - along with journalist favourites Perplexity and NotebookLM).
Who it’s for
Freelancers, reporters, subs and editors who want confident, everyday AI skills. No prior expertise required.
Learning outcomes
Day agenda (in-person)
How to get there
This training course will take place over a full day, in-person at the London School of Economics - address below:
SAL.LG.20
Sir Arthur Lewis Building
London School of Economics
32 Lincoln's Inn Fields, London WC2A 3PH
About Harriet Meyer
Harriet Meyer is an award-winning journalist, editor and AI trainer with more than two decades’ experience writing and editing for national newspapers, magazines and digital publishers. She runs AI for Media, a practical training programme that helps journalists and content teams build safe, effective AI workflows that improve quality and save time. Harriet has delivered hands-on sessions for editorial and communications teams across the UK, from newsroom bootcamps to bespoke workshops, and speaks regularly on responsible AI adoption in media. Her teaching style is clear, grounded in real demonstrations, repeatable checklists and usable templates that slot into everyday work.