A rhizome doesn't grow from the top down. It spreads underground, sends up shoots wherever conditions are right, and keeps growing even when a stem is cut. That's how we teach AI: practical, connected, and built to survive on its own. For students and business people taking their first professional steps.
Turmeric, ginger and galangal are rhizomes. Cut one, plant the piece, and it grows into a whole new plant. We want your AI skills to work the same way: every course produces something real you can replant in your studies, your job, or your business.
Small live cohorts and self-paced tracks that take you from "I've used ChatGPT" to shipping real work with AI. No computer science background needed, just curiosity and a laptop.
Hands-on help finding where AI actually pays off in your business, then building it with you. We favour small, boring wins that compound over flashy pilots that die in a slide deck.
All courses run online. Live cohorts meet evenings Indochina time; self-paced tracks open the day you enrol.
What modern AI can and can't do, how to prompt like a professional, and how to build your first assistant for study or work. The course we wish everyone took before their first AI job interview.
Automations, chatbots and mini-apps using no-code tools plus AI APIs. You'll leave with three working projects and the judgment to know when no-code stops being enough.
For founders and managers. Map your workflows, find the three highest-value AI opportunities, and pilot one before the course ends. Bring a real business, leave with a real result.
Turn coursework into proof. Portfolio strategy, project write-ups, and interview prep for roles where AI literacy is now the baseline, from marketing to operations to analysis.
Beyond chat: agents that research, write, and execute multi-step work. How to scope them, supervise them, and know when a human should stay in the loop.
Our only in-person offering. One intensive Saturday in the old city: morning fundamentals, afternoon build sprint, evening show-and-tell over khao soi. Small groups, big output.
This is the exercise every course starts with: take a vague idea and break it into steps a machine can follow. Choose an idea below, or type your own, and see it sketched as pseudo-code.
This demo runs in your browser with prepared examples. In the courses, you build the real thing.
Practical writing on learning AI, using AI at work, and building from Chiang Mai. No hype, no doom, just what we're seeing on the ground.
The most common question in our intro calls is "should I learn Python first?" For most people the honest answer is no, and starting there is why so many give up in week two. This is the sequence we've watched work for career changers, students, and business owners: start with judgment, add tools, and only reach for code when a real project demands it. We break down the four stages, what to build at each one, and the traps at every transition.
Inside our two-week engagement: how we map your workflows, where we look for savings first, and why the report always includes the ideas we rejected. What to prepare, and what you get.
Learning · 5 min readAfter watching two hundred students prompt live, the pattern is clear. It isn't magic words, it's working method: context first, one task at a time, and always checking the output like an editor.
Chiang Mai · 6 min readLow cost of living, a deep nomad talent pool, and universities hungry to modernise. What's happening in the city's coworking spaces, and where a newcomer should plug in first.
We teach from the mountains of northern Thailand, in a city where students, founders and nomads from forty countries cross paths in the same coffee shops. That mix is our classroom. Courses run online worldwide; if you're in town, come to a meetup and say hello.
Tell us where you are, student, career changer, or business owner, and we'll point you to the right first step. If that step isn't with us, we'll say so.
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