Revision is a capability programme that develops the critical thinking skills needed in an AI-mediated world.
Learn to use AI critically by questioning, verifying, testing, and refining outputs until they're accurate, useful and yours.
As AI becomes more capable, the competitive advantage shifts. The future belongs to people who can do more than generate a first draft - it belongs to the people who can produce the second.
That means knowing when to trust AI, when to challenge it, when to reshape its work - and when to ignore it altogether.
Revision focuses on the human skills behind effective AI use, developing capabilities that retain value regardless of which model, tool, or platform comes next.
A Large Language Model is a language technology. This programme leverages your existing language skills (especially your reading, writing and reasoning) through a progressive structure:
how large language models function, and why your reading and writing skills are your most important AI tools
evaluating AI output for weak logic, unsupported claims, and flawed reasoning
identifying errors, hallucination, bias, and unreliable sources
deciding when to use AI in your workflow, and engineering prompts that explore ideas, not just generate content
working with AI through feedback and refinement, rather than first-draft acceptance
confidentiality, disclosure, and responsible human use
These aren't just AI skills: they're future-proof thinking skills, and they’re the skills sought out by the AI sector itself. Revision is created by L&D practitioners who’ve worked at the frontier of AI modelling, and is informed by learning pathways deployed to serve the AI hyperscalers.
Used well, AI is your productivity partner.
Used badly, it sacrifices judgement for convenience.
Revision teaches the difference.
Be first to hear when revision launches.
