• 16+ years of age

• Basic scripting or coding skills 

• Strong motivation and commitment to learn cybersecurity 

Develop a strong security foundation by understanding key concepts, tools, and systems that form the

basis of offensive and defensive security.

● Introduction to Information Security

● Operating Systems for Security: Linux, Windows, macOS

● Networking 101: The Backbone of Cybersecurity

● Scripting and Automation Essentials (Bash & Python Basics)

● Vulnerability Scanning & Hacking Fundamentals

● Introduction to Web Application Attacks

● Hands-On Hacking Labs

Adopt the mindset of an attacker and learn how to identify and exploit vulnerabilities with ethical

hacking techniques.

● Introduction to Offensive Security & Attacker Methodologies

● Web & Application Hacking

● Command Injection

● Server-Side Attacks

● Shells, Payloads, and Exploitation Basics

● Information Gathering & OSINT

● Breaking the Web: Application & API Attacks

● Advanced Network Attacks

● Privilege Escalation & Post-Exploitation Techniques

● Hands-On Lab: Offensive Attack Simulation

Shift focus to defending systems by detecting, analyzing, and responding to cyber threats.

● Building Defensive Strategies

● Incident Response & SIEM

● Hunting the Threat: Log

● Intrusion Detection & Forensics

● Malware Analysis

● Digital forensics and post-incident analysis:

● Hands-on Lab: The Blue Team Experience

Master advanced offensive and defensive techniques, culminating in a capstone project that tests your

skills in real-world scenarios.

● Advanced Cyber Tactics & Attack Chains

● Advanced Privilege Escalation

● Evasion and Obfuscation Techniques

● Attacking Advanced Systems

● Red Team vs. Blue Team Simulation

● From Findings to Fixes: Reporting & Presentation

Explore how artificial intelligence and autonomous agents introduce new attack surfaces and

defensive challenges.

● AI & LLM Fundamentals (Security-Focused)

● AI Threat Modeling

● Prompt Injection

● LLM Attacks

● AI-Powered Attack Chains

● Attacking AI Applications & APIs

● Defending AI Systems

Minimum Criteria:

1. Course Attendance - 80%

2. Final Project / Exam - 20%