// course.cyber-security-ai
Cyber Security with AI
Defend modern apps using AI-powered tools — from OWASP to LLM red-teaming.
Security · Intermediate 10 weeks 42 lessons 20 examples Certificate on completion
A complete cyber security curriculum that fuses classical hacker tradecraft (recon, web, network, crypto, OWASP Top 10) with the new AI-powered defensive toolkit. Build a hardened threat-model, run real pentests, write secure code, and learn how attackers are weaponising LLMs — and how blue teams are using AI to fight back.
// preview.cyber-security-ai
security
# AI-assisted nmap recon (defensive use only)
import subprocess, json, openai
scan = subprocess.run(
['nmap', '-sV', '-oX', '-', 'target.lab'], capture_output=True, text=True)
prompt = f'Summarise vulnerabilities in this nmap XML:\n{scan.stdout[:4000]}'
# send to your LLM of choice — never to a live target without permission!# curriculum
0 / 42 lessons·0% complete
01What is Cyber Security?02The CIA Triad03Threat Landscape 202604Hacker Types & Motivations05Setting up a Lab (Kali / Parrot)06Linux for Security07Networking Fundamentals08OSI vs TCP/IP09Ports, Protocols & Services10Wireshark Basics11Cryptography Essentials12Symmetric vs Asymmetric13Hashing & Salting14TLS, Certificates & PKI15Password Cracking (Hashcat)16OWASP Top 10 Overview17SQL Injection18XSS — Cross-Site Scripting19CSRF & SSRF20Authentication & Session Bugs21Insecure Deserialization22Reconnaissance — Recon-ng & OSINT23Nmap & Port Scanning24Vulnerability Scanning (Nessus / OpenVAS)25Metasploit Framework26Burp Suite for Web Pentesting27Network Attacks (ARP, DNS, MITM)28Wireless Security (WPA2/WPA3)29Malware Analysis 10130Phishing & Social Engineering31Incident Response32Threat Modeling (STRIDE)33SIEM & Log Analysis34AI in Cyber Security — Overview35ML for Anomaly Detection36AI Threat Intelligence37Prompt Injection & LLM Attacks38Securing LLM Applications39AI-Assisted Code Review40Secure Coding Practices41Capstone — Pentest Report42Capstone — Red vs Blue Exercise
unlock.everything()
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