# Course Overview

**CYBERSEC 520: Foundations of Artificial Intelligence in Cybersecurity | Spring 2026**

Welcome to the official online course notes for **Foundations of Artificial Intelligence in Cybersecurity**.

## Course Description
This course explores the intersection of artificial intelligence and cybersecurity. **We begin by establishing a solid foundation in Machine Learning (ML) and Deep Learning (DL) concepts.** From there, we dive into the "Dual Role" of AI:
1.  **AI as an Offensive Weapon**: Understanding how adversaries use AI to automate attacks and sophisticated social engineering.
2.  **AI as a Defensive Shield**: Leveraging Machine Learning (ML) and Deep Learning (DL) to detect, prevent, and remediate threats at scale.

## What You Will Learn
*   **Foundations**: Supervised, Unsupervised, and Reinforcement Learning vocabularies.
*   **Data Processing**: Cleaning and exploring real-world security datasets (e.g., CICIDS2017).
*   **Advanced Techniques**: Clustering, Neural Networks, Sequential Models (LSTMs, Transformers), and LLMs.
*   **Practical Skills**: Hands-on labs building classifiers for Phishing, DDoS, and Malware detection.

## How to use this book
This book is broken down into **8 Modules**. You can navigate through them using the sidebar.
*   **Assignments**: Access all course assignments in the dedicated section.
*   **Notebooks**: Interactive Jupyter Notebooks are embedded directly into the modules.
*   **Navigation**: Use the left sidebar to jump between modules. Use the right sidebar to navigate within a page.