The online university STEM students wished they had

A world with AI. And a life in it.

The tools change every week. What to build with them, what to trust them with, and what to keep doing yourself changes far more slowly. Collegica teaches the second kind of thing.

Start with robotics Browse everything

Where it started

In 2020, stuck at home like everyone else, I realised you could learn the whole of robotics in a browser.

Python was already there. The simulators had got good enough to run in a tab. What was missing was not the technology — it was a course that assumed you had none of the equipment.

That is still the method: no lab, no licence, no waiting list — and now, no pretending the tools have stood still.

Courses

01RoboticsLearn it in simulation: Python, ROS and a 3D world that boots in a tab.In preparation
02Software developmentStructure, dependencies, packaging, and keeping a large codebase tractable.6 posts · 1 guide · 3 talks
03AIAgents, protocols, and using models as tools rather than magic.6 posts

Notes

04FinanceMortgages, community finance, and the fine print that costs people money.3 posts
05Aging wellMind, muscle and money — the three kinds of capital that compound.1 guide

Latest

Every post is on Mechatronics3D, in English and Persian.

For AI agents

Everything here is also published for agents, in the Open Knowledge Format: plain markdown with provenance, trust and lifecycle frontmatter, and two computations an agent can run and attest rather than quote. Start at collegica.org/llms.txt.

Using Claude Code? Install the Collegica skill and ask it a question:

mkdir -p ~/.claude/skills/collegica && curl -sSL \
  https://www.collegica.org/okf/references/skills/collegica/SKILL.md \
  -o ~/.claude/skills/collegica/SKILL.md