Course companion

Artificial Intelligence and Cybersecurity

How machine learning is changing the way attacks are detected and answered, and how to build those systems yourself.


Syllabus (EN) Syllabus (AR)

What You'll Learn

Three pillars, hands-on every week

Detection

AI-Powered Threat Detection

How models flag and classify threats as the traffic arrives, and what it costs an analyst when they guess wrong.

Defense

Defensive Strategies

Building defenses that get retrained as attackers change tactics, instead of quietly aging out a few months after deployment.

Analytics

Security Analytics

Finding patterns and anomalies in security logs and network captures, starting from the raw, messy data rather than a tidy sample.

Course textbook cover

AI-Powered Cybersecurity

Required course material · by Dr. ElMouatez Karbab

Get the Book

Your Instructor

Dr. ElMouatez Karbab

Researcher in AI and cybersecurity, with close to two decades spent in academia and in industry. His published work covers machine learning for threat detection and automated security response.

Course Schedule

Weekly topics, readings, and labs

1 Week 01 — Welcome and Foundations of AI-Driven Cybersecurity I
Materials
AdminENAR ChapterENAR SlidesENAR
Resources
MITRE ATT&CK Cyber Kill Chain NIST NVD CISA KEV Catalog
Lab
Claude Code Setup Google Cloud VM Setup I Domain Name Setup I
2 Week 02 — Foundations of AI-Driven Cybersecurity II
Materials
ChapterENAR SlidesENAR
Resources
VirusTotal MITRE ATLAS NIST AI RMF
Lab
Google Cloud VM Setup II Domain Name Setup II
3 Week 03 — Machine Learning Essentials for Cybersecurity I
Materials
ChapterENAR SlidesENAR CodeNotebook
Resources
scikit-learn User Guide Google ML Crash Course NIST AI 100-2 Adversarial ML Stanford CS229
Lab
Claude in Chrome Setup I Google Colab Setup I
4 Week 04 — Machine Learning Essentials for Cybersecurity II
Materials
ChapterENAR SlidesENAR CodeNotebook
Resources
scikit-learn User Guide Google ML Crash Course NIST AI 100-2 Adversarial ML Stanford CS229
Lab
Claude in Chrome Setup II Google Colab Setup II
5 Week 05 — Machine Learning Essentials for Cybersecurity III
Materials
ChapterENAR SlidesENAR CodeNotebook
Resources
scikit-learn Ensembles XGBoost Boosted Trees Dive into Deep Learning scikit-learn Metrics Precision, Recall & ROC
Lab
Phishing Detector on Your Domain I
Project
Network Intrusion Detection Challenge
6 Week 06 — Machine Learning Essentials for Cybersecurity IV
Materials
ChapterENAR SlidesENAR CodeNotebook
Resources
scikit-learn Preprocessing & Scaling Feature Engineering: Numerical Data Deep Learning Book Decision Threshold Tuning Clustering Metrics
Lab
Phishing Detector on Your Domain II