Advanced Cybersecurity and AI-Driven Threat Defense

A comprehensive 6-month roadmap to master cybersecurity automation, cloud defense, network monitoring, AI/ML threat detection, and compliance frameworks

Main Objective

To make you proficient in cybersecurity automation, cloud defense, network monitoring, AI/ML threat detection, and compliance frameworks so you can step confidently into SOC Analyst, Penetration Tester, or Security Engineer roles.

Month 1 – Foundations

Focus: Build strong technical base.

Learn:

  • OSI & TCP/IP Models, subnetting, firewalls, VPNs
  • Linux commands, file permissions, system logs
  • Python basics: loops, regex, file handling
  • Automate log analysis, password auditing, and system scanning

Tools:

  • Wireshark, Nmap, Python, Bash

Project:

Build a port scanner using Python

Month 2 – Security Automation & Threat Detection

Focus: Automate daily security operations.

Learn:

  • Python libraries for cybersecurity (scapy, socket, requests)
  • Script-based log parsing & alert generation
  • Splunk / ELK Stack basics for SIEM
  • Understanding Indicators of Compromise (IOCs)

Tools:

  • Splunk, Elasticsearch, Kibana, Logstash

Project:

Automate intrusion detection alerts using Python & ELK

Month 3 – Cloud Security (AWS + Azure)

Focus: Defend cloud infrastructure.

Learn:

  • Shared responsibility model
  • AWS IAM, GuardDuty, CloudTrail, WAF
  • Azure Sentinel & Defender for Cloud
  • Cloud incident response planning

Project:

Create AWS security automation using Python (lambda function for suspicious log detection)

Month 4 – Penetration Testing & Ethical Hacking

Focus: Offensive Security Skills.

Learn:

  • Kali Linux, Metasploit, Burp Suite
  • Web App Security (OWASP Top 10)
  • Vulnerability assessment with Nessus
  • Exploitation, privilege escalation

Project:

Simulate a penetration test lab & generate vulnerability report

Month 5 – AI/ML for Cybersecurity

Focus: Build intelligent detection systems.

Learn:

  • ML concepts: Supervised vs Unsupervised
  • Feature extraction from network logs
  • Anomaly detection, phishing email classification
  • Tools: Scikit-learn, TensorFlow, Pandas

Project:

Build an AI-based intrusion detection system using real datasets

Month 6 – Cyber Laws, Compliance & Final Integration

Focus: Governance + capstone project.

Learn:

  • ISO 27001, GDPR, HIPAA basics
  • Risk management frameworks (NIST, CIS)
  • Security policies & audit preparation
  • Integrate all skills: Cloud + SIEM + AI + Compliance

Project:

End-to-end "Cyber Defense Operations Dashboard" (Python + Splunk + AWS)

Tools & Platforms

Languages

Python, Bash

Security Tools

Nmap, Wireshark, Burp Suite, Metasploit

SIEM

Splunk, ELK Stack

AI Tools

TensorFlow, Scikit-Learn

Cloud

AWS, Azure

Compliance

ISO 27001 Toolkit

Outcome After 6 Months

Hands-on Experience

Defensive & offensive cybersecurity

AI-Based Automation

Anomaly detection projects

Cloud Security

Cloud security competence

Certification Ready

Security+, CEH, IBM Cybersecurity Analyst

Professional Portfolio

Resume-ready project experience