Outcome Map — the ten paths learners can follow
Seeing the journey map of outcomes (talk to AI, build apps, create media, write code, automate work, etc.) helps learners pick a concrete goal
Start here — before Lesson 1.
A course born inside a developmental-biology lab at Heidelberg University that outgrew biology fast — five short lessons on why it exists, who it now serves, and what the rest of the course actually covers.
Before Lesson 1: why this course exists, who it's written for, and what you're about to learn. Five short reads, no tools to install — the map before the journey.
Nearly 6,000 worked recipes across the whole course — each one credited to where it came from, not a toy demo.
84 chapters across 18 tracks (and growing), from talking to a chatbot to running your own AI infrastructure.
Run first, understand second, build third — every lesson starts with something you can click, not a lecture. And for every proprietary leader, there is a free, open-source or self-host alternative.
Written for 12 real roles — scientist, physician, founder, small-business owner, creator, finance, investor, HR, operations, sales, support, robotics — and growing as the course adds more.
Every path in the course has a free, no-login way to start; you decide if and when to pay for more.
The course began as the everyday AI needs of a developmental-biology laboratory — PDF triage, spreadsheet cleaning, internal tooling — tasks that turned out to be common far outside biology.
Describe the real‑world problem that led to the course and how it expanded beyond its original lab.
List the five tasks I repeat most in a typical work week. For each one, say whether an AI tool could do part of it today — and which part.Paste it into whatever chatbot you already have open: ChatGPT, Claude, Gemini. Nothing to install, no account needed here. Keep the answer — the tracks below are organised by exactly that kind of task, so it doubles as your reading order.
The role picker is the Who you are dropdown in the sidebar. Pick a role once and every example gallery in the course filters to work from that field.
Match yourself to one of the defined roles so the examples you see are tailored to your work
The course is organised as chapters grouped into tracks, with a worked-recipe library and a tools matrix that puts every tool it covers side by side.
See how the chapters, examples and tool comparisons are organised across the whole programme
Two rules shape every lesson here: run first, understand second, build third, and for every proprietary leader an open-source or self-hostable option alongside it.
Create lesson cards that follow the run‑first, free‑alternative principles
Explain in two sentences what n8n is, then give me one automation a small team could actually run in its first week.Paste it into any chatbot. That answer is the shape of this whole course: you run something before anyone explains it to you — and n8n is the free, self-hostable option that sits next to a paid one in every comparison here.
A lesson page stacks its lessons in reading order and carries the pre-built n8n workflows and the examples gallery that go with them.
See how each daily lesson is laid out and launch the accompanying n8n workflow
Seeing the journey map of outcomes (talk to AI, build apps, create media, write code, automate work, etc.) helps learners pick a concrete goal
Can’t tell which examples fit my job
Choosing a persona instantly filters the example gallery to show content most relevant to your job
You can understand how many chapters and examples exist and how they are organized before committing to a learning path
You can navigate learning based on what you want to accomplish rather than remembering specific products
You have access to a large, reusable set of real use-case examples that are tagged by role and category
Can’t tell which of several tools fits my need
When two or more tools can solve the same problem, you can see which one best matches your situation
You can stop after mastering basic chatbot use or continue through code-writing agents and self-hosted models
The same set on /recipes, filtered by tool and role.
Ask, share, or report — over on the Heidelberg AI community forum.