Education
AI and technology training for education
Schools, colleges, universities and training providers are dealing with AI on two fronts at once: their own staff using it for work, and learners using it for everything. These cohorts are for the staff side, and they are honest that a policy nobody understands is not a policy.
Using AI on the work your team already does, with the judgement to know when the output is wrong.
Built around education work
3 courses · 15 facilitated hours
Sponsoring an AI Literacy Programme
For the executive or manager who has to commission workforce AI training and answer for it later. Covers scoping measures to role and risk, and what records to insist on.
Addresses: Culture & Support, Confidence & Skills
Manager, Director / Head of, Executive / C-Suite
Course outlineResponsible AI Use at Work
Covers the judgement calls staff face daily: what data may go into a tool, when a human must review, and how to record what was done. Delivered against your organisation's own AI policy.
Addresses: Responsible Use
Individual Contributor, Team Lead, Manager, Director / Head of, Executive / C-Suite
Course outlineWriting and Communicating With AI
For people whose work is mostly words: emails, reports, proposals, minutes. Getting a first draft in seconds is easy; this is about editing it into something that sounds like you and stands up to a careful reader.
Addresses: Daily Practice, Confidence & Skills
Individual Contributor, Team Lead
Course outlineWhat this sector brings into the room
- Staff need a position they can actually explain
- Teaching and professional services staff work through what the institution's own policy means for a real request, so the answer given to a learner or a parent is consistent rather than improvised.
- Administrative load is where the relief is
- Reports, correspondence, planning documents and the same summary written repeatedly. Practice time goes on the work that is genuinely repetitive, not on the parts that need a person.
- Leaders are asked for a strategy before they have used the tools
- The leadership session puts senior staff on their own material first, because a position on AI written by someone who has never used one tends not to survive contact with the institution.
Also runs for any sector
These work the same way whoever is in the room. They are still delivered on your own material, so they are no less specific to you - the sector simply is not what changes them.
AI in the Executive Workflow
Senior leaders working on their own material rather than talking about AI in the abstract: board papers, briefing notes, analysis of a long document, and the tools that make it repeatable.
Addresses: Daily Practice, Tools & Access
Director / Head of, Executive / C-Suite
Course outlineLeading an AI-Ready Team
For the managers who decide whether adoption sticks. Focuses on setting expectations, removing blockers, and building the team habits that survive after the training ends.
Addresses: Culture & Support, Daily Practice
Team Lead, Manager, Director / Head of
Course outlineRunning an AI Champions Network
Champions programmes fail politely: volunteers are named, nothing changes. This is for the manager who owns the network - choosing the right people, giving them time and permission, and keeping it alive after month two.
Addresses: Culture & Support, Daily Practice
Team Lead, Manager, Director / Head of
Course outlineAI Foundations for Every Role
A facilitated introduction for staff who have little or no structured experience with AI tools. Participants leave having used AI on their own real work, with a clear view of what these systems can and cannot do.
Addresses: Confidence & Skills, Daily Practice
Individual Contributor, Team Lead
Course outlineAI Tooling and Integration Clinic
A short clinic for teams whose tools are in place but underused or disconnected. Run against your organisation's actual toolset rather than a generic demo stack.
Addresses: Tools & Access
Individual Contributor, Team Lead, Manager
Course outlineEmbedding AI in Daily Workflows
Moves participants from ad hoc use to repeatable practice. Each participant maps one of their own recurring workflows and rebuilds it with AI in the loop.
Addresses: Daily Practice, Tools & Access
Individual Contributor, Team Lead
Course outlinePrompting and Output Verification
A working session on getting reliable results and, more importantly, on checking them. Built around the verification habits that separate occasional AI users from dependable ones.
Addresses: Confidence & Skills, Responsible Use
Individual Contributor, Team Lead, Manager
Course outlineWhich of these does your organisation actually need?
The readiness assessment scores each person across five dimensions and maps the gaps onto this catalogue, by department and by role. Five minutes per person, and it answers the question with a measurement rather than a guess.