From this Friday, we're teaching live from the AI Adoption Lab in Greenwich every week. Half an hour at lunchtime, online, and free. Come once, or come every week.
I want to explain why we're doing it, and what you'll actually get, because it's not a webinar in the usual sense.
01Why every week
AI moves every week, so learning about it can't be a one-off. You go on a course, it's good, and a month later half of it has changed. The tools are the worst they'll ever be, and they keep getting better.
So we wanted something you can drop into regularly. Short enough to fit in a lunch break. Useful enough that you leave with something to try that afternoon.
02How a session runs
Thirty minutes, in three parts.
- One idea, taught live (12 minutes). A single idea, shown on the platform we teach from, so you see how it works rather than just hear about it.
- This week in AI (5 minutes). What changed this week, and what it means for how you work. Including what you can safely ignore.
- Your questions (13 minutes). Ask anything. Then leave with one thing to try before the next session.
Thirteen minutes of questions out of thirty is deliberate. In our sessions, the questions are often the best bit.
03What we've learned about teaching this
We've been running AI sessions for a few years now, with all sorts of teams. Over that time we've worked out what makes them land, and it's built into how these run.
Build the mental model first. People don't need to know how the maths works. They need a way to picture what's going on, so they can work out the rest for themselves. Once that clicks, everything else hangs off it.
Show it, don't tell it. We teach on the platform itself, live, rather than from slides about it. You see a real prompt go in and a real answer come out, including when it gets it wrong.
Use real work. Every example comes from something we've actually done, not "imagine if". That's what makes it stick.
Keep it plain. No jargon, and when a technical bit comes up, we'll tell you it's coming and keep it short.
Make it fun. AI does some brilliant things and some genuinely daft ones. Both are worth seeing. If you're enjoying it, you'll remember it.
04The sessions to Christmas
Each session stands on its own, but together they build up the picture.
| Date | Session | With |
|---|---|---|
| Fri 13 Nov | What AI is and what it knows | Mike Chatterton |
| Fri 20 Nov | Memory and context | Ross Pepperell |
| Fri 27 Nov | What it can do | Jeremy Steer |
| Fri 4 Dec | Skills, agents and loops | Mike Chatterton |
| Fri 11 Dec | Techniques that work | Ross Pepperell |
| Fri 18 Dec | Risks, and setting AI up safely | Jeremy Steer |
All start at 12:00 and finish by 12:30.
05Read on Wednesday, ask on Friday
Each Wednesday we'll publish a short post here on that week's topic. If you want to get more out of the session, read it first and bring your questions on Friday. If you don't have time, just turn up. It's built to work either way.
06How to join
Register for each date you want on the events page. You get your own joining link, a calendar invite and a reminder. Sessions run on Google Meet. Some dates run in the room at the Lab too, and the events page says when.
It's free. We'd just love you to come along, ask a question and learn a bit more about AI with us.
See you Friday.