Practical AI for Scientists — FutureHouse Tutorial Series

Interactive tutorials for scientists who want to use AI in research: core concepts, large language models in biology, and LLM agents. Content is written in Markdown and Jupyter notebooks and published with MyST.

Repository: github.com/Future-House/tutorial-series

View the book

After deployment, the site is served with GitHub Pages (path /tutorial-series in CI). Open:

https://future-house.github.io/tutorial-series/

If the URL differs (fork, custom domain), check Settings → Pages for the live address.

Run notebooks in Google Colab

Colab opens notebooks from this repo using the .ipynb paths below (replace main if you use another default branch):

Notebook	Open in Colab
LLMs for biology	Colab
UniProt example	Colab
Agent implementation	Colab

The published site also includes Colab links in the header navigation (myst.yml).

Build locally

Requires Python 3.11+ (same as CI).

python -m venv .venv
source .venv/bin/activate   # Windows: .venv\Scripts\activate
pip install mystmd jupyter-book
myst build --html

Output: _build/html/. To match GitHub Pages base path when testing:

BASE_URL=/tutorial-series myst build --html

Repository layout

Path	Contents
myst.yml	Project config, table of contents, site theme, Colab nav links
index.md	Landing page
chapter_1/	Introduction (background, models, LLMs for biology)
chapter_2/	Applications in biology; interactive notebooks
chapter_3/	LLM agents; agents.md and agent_implementation.ipynb, avairy_agent_implementation.ipynb
resources/	Glossary
.github/workflows/deploy.yml	Build and deploy to GitHub Pages on push to main

License and copyright

Copyright 2026 FutureHouse. See repository settings for license terms if applicable.