In an era of increasingly sophisticated threats, artificial intelligence has become both the primary shield for defense and a new attack surface that organizations must protect. This five-week specialized program prepares IT and security professionals to harness machine learning for anomaly detection while systematically hardening AI deployments against data exfiltration and adversarial attacks.
What you will gain
- Predictive anomaly & threat detection
- Securing AI pipelines against data leaks
- Hands-on labs in sandboxed environments
Target outcomes
- Understand how modern AI is applied to defensive cybersecurity
- Deploy ML and deep learning models for intrusion and anomaly detection
- Master legal obligations, ethical considerations, and AI security standards
- Implement an end-to-end security automation project
Prerequisites
- IT and networking/security fundamentals. Python familiarity recommended.
Detailed Curriculum
- W1 — AI Foundations in Cybersecurity & Evolving Threat Landscapes.
- W2 — Machine Learning & Deep Learning for Intrusion and Anomaly Detection.
- W3 — Adversarial AI, Prompt Injection Defense, and Legal/Ethical Frameworks.
- W4 — Hands-on Security Operations Labs & Automated SOC Incident Triage.
- W5 — Capstone Security Defense Assessment & Evaluation.
Cybersecurity Use Cases
- Automated pre-filtering and prioritization of SOC security alerts
- Real-time anomaly and intrusion detection on system/network log streams
- Comprehensive enterprise AI attack surface risk audit
Deliverables & Transversal Modules
Instructor
Safae Achour
AI Security & Compliance Specialist
This training is designed to quickly turn understanding into execution capacity, with a clear, concrete and directly applicable format.
Support Instructor
Anass Nouri
AI Program Director & Strategy Lead
This instructor participates in delivery and support to ensure personalized guidance for each student.
