Foundations of AI — CAI 4002

Companion Jupyter Book for CAI 4002 Foundations of AI (Section 87714), Fall 2026 U.A. Whitaker College of Engineering · Computing and Software Engineering · Florida Gulf Coast University

Instructor: Leandro Nunes de Castro, Ph.D.

Link to Book

About

Thirteen units following the course schedule, from the history of AI through policy and governance. Every unit pairs conceptual material with runnable Python snippets students can copy into Google Colab — no installation and no prior programming background required.

All code runs on the stock Colab environment (numpy, pandas, matplotlib, scikit-learn, scipy). Only Unit 7 requires an install, and the snippet includes it.

Structure

book/
  _config.yml     Book settings (Colab launch buttons enabled)
  _toc.yml        Table of contents
  intro.md        Landing page
  Unit_01 .. Unit_13    Course units
  Appendix_A      Python and Colab primer
  Appendix_B      Capstone project guide
  Appendix_C      AI use and disclosure policy
  references.bib
Data/             Images and datasets

Building Locally

pip install -r requirements.txt
jupyter-book build book
open book/_build/html/index.html

Deployment

Pushing to main triggers .github/workflows/deploy.yml, which builds the book and publishes it to GitHub Pages via ghp-import.

When renaming the repository, update the url in book/_config.yml and the paths in .github/workflows/deploy.yml.

Related

Builds on the AI Literacy Program of the FGCU AI Academy, Dendritic Institute for Human-Centered AI & Data Science. Units 7 and 11 reference AI Literacy modules directly as primary reading.