AI skills aren't
taught.
They're built.
Every leader is asking the same question: how do I get my team AI-fluent, fast? Sparks is the answer — fifteen weeks, twenty minutes each. The programme covers all the key skills that comprise AI fluency, including context engineering, situational judgement, key terminology, how LLMs work, and how to use AI as a thinking partner.
Real skills. Real confidence. Real leverage.
A Spark a week. Real work. Real habits.
Most AI training fails in one of four ways: the away day (skills fade in weeks), the platform nobody uses (subscription purchased, no logins), the video course (teaches about AI, never puts you in AI), the on-demand library (worked through only by the already motivated). Sparks is different. Every Monday, a 20-minute session lands by email. One skill. One real task. Worked inside the AI tool your team already uses — Claude, ChatGPT, Microsoft Copilot or Gemini. Real output, that day.
How it works
Monday — the Spark arrives
30 minutes by email. One skill, one real task.
Inside the AI tool
Students work live in Claude, ChatGPT, Copilot or Gemini — no separate platform, no login, no friction.
Real output, that day
Every session produces something usable before the week is out. Not practice exercises. Actual work, with practice during the week.
Reply and reflect
Students report back where they used the skill. Reflection converts technique into habit.
Three tiers across 15 weeks
A comprehensive curriculum: context engineering, situational judgement, key terminology, how LLMs work, and how to use AI as a thinking partner.
- AI Practitioner — Sparks 1–5. Core prompting skills, confident daily use.
- AI Professional — Sparks 6–10. High-stakes applications, responsible use, configured workspace.
- AI Fluent — Sparks 11–15. Autonomy, mastery, graduation.
Responsible AI throughout
Not a separate compliance module — woven through every session. Source integrity, disclosure, audit trails, sensitive domains, and data ethics, anchored by the principle “experts in their field first, AI delegators second.”
Regularly updated
As AI capabilities move, so does the curriculum — participants get the latest techniques and best practice, not last year’s guide.
Transferable across tools
The techniques work in Claude, ChatGPT, Microsoft Copilot and Gemini. Skills students build carry with them if your tooling changes.
Vocabulary, in context
Around twenty-eight field terms — co-intelligence, context window, hallucination, alignment, anthropomorphism, reasoning models — landed where they matter, so graduates can hold their own in any AI conversation.
By Lesson 15, every student has:
- AI Fluency Certificate — shareable, post directly to LinkedIn and professional profiles.
- Capability report — your trajectory across 15 weeks scored on three dimensions (Prompt, Context, Verification), with examples drawn verbatim from your own prompts and context files.
- A configured AI Project workspace for their role and context.
- A personal prompt library of ~7 curated, categorised, reusable prompts.
- An AI-use Rhythm Template — triggers, routines, keystone habit — built in your own voice at graduation.
- A documented workflow, ready to reuse.
Every professional in your organisation who uses (or should use) AI.
- All roles, all functions, all seniority levels
- No prior AI experience required
- Already-confident users move through via accelerated pathways
How do new joiners start mid-programme?
They begin at Lesson 1 regardless of when they join. No cohorts, no waiting lists.
How is responsible AI handled?
Not a separate module. Responsible-AI principles are woven through every session, internalised through eight weeks of real practice — not a memo filed away.
What about students who are already advanced?
Accelerated pathways are available for fast movers. Sparks 11–15 also work as standalone refreshers for already-confident users.
Does Sparks work with our AI tool?
Yes. Students work in Claude, ChatGPT, Microsoft Copilot or Gemini — whichever your organisation has rolled out.
How do we measure progress?
Quarterly Zebrafish Impact Reports cover progress by individual and department, engagement, scores, and time-saving estimates.
How do we measure impact?
At graduation we score your work across three dimensions — Prompt, Context, Verification — drawn from the prompts, context files, and verification moves you've made across 15 weeks. You get a numeric score plus a progression paragraph per dimension.
Maximise the ROI on the AI investments you've already made.
Your team has already made the investment in licences. Sparks is what turns that into a return.
- £12 per learner / per month.
- GDPR-compliant and a commitment to learner privacy
- No new platform
- Quarterly Impact Reports included
For organisations
Talk to us about rolling Sparks out to your team.
Book a demo →For individuals
Register here →Ignite – Exec Ed
A bespoke one or two-day leadership intensive for senior leaders.
Catalyst – Nanodegree
A six-month programme that creates AI Champions across your organisation.
Sparks – Certificate
Weekly AI practice delivered by email, building habits that last.