Resources

Everything you need for this course is free. You only need a laptop and a Google account.

Required Tools & Platforms

Google Colab

Primary lab environment, runs Python in the browser, nothing to install.

colab.research.google.com →

Hacker101

Beginner-friendly hacking lessons and CTF challenges (Week 11).

hacker101.com →

CTFd

Capture-the-Flag platform for the in-class mini CTF event.

ctfd.io →

CISA Tabletop Exercises

Professionally designed incident-response scenarios (Week 14).

cisa.gov →

Core Python libraries, pandas, scikit-learn, and matplotlib, come pre-installed in Colab. Jupyter Notebook is an optional local alternative.

Textbooks

Required

Tom Taulli, Artificial Intelligence Basics: A Non-Technical Introduction (Apress), a plain-language tour of AI and ML for business readers.
Raef Meeuwisse, Cybersecurity for Beginners (Cyber Simplicity), a friendly, jargon-free introduction to security concepts.

Optional (for curious students)

Ram Shankar Siva Kumar & Hyrum Anderson, Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems, a story-driven book on adversarial AI.
Clarence Chio & David Freeman, Machine Learning and Security (O’Reilly), a deeper technical reference.
Google Machine Learning Crash Course (free online), supplemental videos and visuals.

Course Links

Canvas course shell, announcements, grades, and submissions
Course repository, lecture notes, lab starters, and specs
Lecture notes · Quizzes · Labs · Exams