Course Specialization

AI Cyber Security & Ethical Hacking

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Program Overview

Study Linux, networks, vulnerability assessment, web security, and authorized testing alongside responsible AI-assisted analysis and emerging AI-system risks.

Skills & Tools

  • Linux
  • Networking
  • Vulnerability Assessment
  • Web Application Security
  • Authorized Security Testing
  • AI Security Foundations

Course Curriculum

Module 1: Security, Ethics & Linux

Understand security principles, authorization boundaries, responsible disclosure, Linux administration, and repeatable lab practice.

Module 2: Networks & Defensive Visibility

Study network models, addressing, routing, DNS, VPN concepts, traffic analysis, logging, and common protective controls.

Module 3: Reconnaissance & Vulnerability Assessment

Practice scoped discovery, scanning, validation, risk documentation, and remediation planning inside authorized environments.

Module 4: Web Application Security

Explore common web risks, authentication and session issues, input handling, access control, and safer development practices through labs.

Module 5: Ethical Hacking Labs

Apply approved testing methods in isolated environments and communicate evidence, impact, limitations, and remediation clearly.

Module 6: AI-Assisted Security & AI Risks

Evaluate AI-supported triage and analysis with human verification, then examine prompt injection, data exposure, model misuse, and monitoring basics.

Capstone Projects

Authorized Vulnerability Assessment

Assess a sandboxed environment, validate findings, prioritize risk, and produce a practical remediation report.

AI System Threat Review

Map data flows and trust boundaries for a sample AI feature, test approved misuse cases, and propose layered controls and human oversight.

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