Resources
AI training glossary
Plain-English definitions of the AI-training terms we use — what they mean, and how they help your team and your organisation.
A quick reference to the language of AI training and upskilling. Each definition links to where the idea shows up in our training.
- AI training
- Structured, hands-on teaching that helps a team use AI tools well on their real work — safely, consistently and with results — rather than learning by trial and error. We deliver it as workshops and organisation-wide rollouts.
- AI literacy
- The practical understanding to judge when to use AI, how to ask for what you need, and when to check or distrust its output. It's the foundation that upskilling builds on.
- The AI skills gap
- The distance between using AI and using it well. Most people now have access to AI; far fewer have been trained to get reliable, safe value from it — and that gap is widening as the tools move faster than the training.
- AI upskilling
- Raising your existing team's AI capability through training, so people gain skills that make them more effective and more valuable — and that grow their careers as AI reshapes the work. It develops your team and gives good people a reason to stay, not just a short-term boost.
- Reskilling
- Training people in new, AI-enabled ways of working as roles change — so as AI takes on some tasks, your team moves up to higher-value work rather than being left behind.
- Generative AI
- AI that creates new content — text, images, code, summaries — from a prompt. Tools like ChatGPT, Microsoft Copilot, Google Gemini and Claude are generative AI, and they're the focus of most workplace training.
- Large language model (LLM)
- The technology behind most generative-AI chat tools: a model trained on vast amounts of text to understand and produce language. ChatGPT, Claude and Gemini are built on LLMs.
- AI agent
- An AI tool that carries out multi-step tasks on your behalf — planning and acting across several steps rather than just answering a single prompt. An emerging capability we cover for teams ready for it.
- Prompt / prompting
- The instruction you give an AI tool — and the skill of writing it well. Clear prompting is one of the fastest ways to get reliable, useful results, and it's a core part of every session.
- Role-based (role-tailored) training
- AI training built around what a specific role actually does, so leaders, teachers, admin or sales teams each practise on their own real tasks. It's how training stays relevant from the first minute — and how learning sticks.
- CPD (continuing professional development)
- The ongoing learning professionals log to keep their skills current. Our sessions count toward CPD, and every attendee receives a certificate to add to their records.
- Focus Session, Deep Dive & Full Day
- Our three workshop formats — a 30-minute Focus Session, a 3.5-hour Deep Dive and a six-hour Full Day — three rungs from first confident use to whole-team capability.