Algorithm Roadmap

Master Cybersecurity, AI/ML, Full-Stack & Linux CLI

Estimated Time: 12-18 months for pro-level mastery (3-4 hours daily)

Libraries & Tools

Essential libraries for Cybersecurity, AI/ML, Full-Stack, and Linux CLI projects

AI/ML & Data Science

  • numpy: Numerical operations
  • pandas: Data analysis
  • matplotlib: Data visualization
  • seaborn: Advanced visualization
  • scikit-learn: ML algorithms
  • tensorflow: Deep Learning
  • keras: Neural networks
  • nltk: NLP
  • opencv-python: Computer Vision

Cybersecurity & Cryptography

  • pycryptodome: Crypto functions
  • bcrypt: Password hashing
  • cryptography: Crypto primitives
  • scapy: Packet manipulation

Full-Stack & Web

  • flask: Lightweight web
  • django: Full-featured framework
  • fastapi: Modern APIs
  • networkx: Graph algorithms

Linux CLI & System Tools

  • bash: Shell scripting
  • netcat: Network exploration
  • wireshark: Protocol analysis
  • docker: Containerization
  • nmap: Port scanning
  • tmux: Terminal multiplexing

Phase 1: Foundations (Buniyadi Uloom)

Master basics. Practice 2-3 LeetCode easy problems daily, 1 CLI task weekly. Capstone: Password manager with encryption

Cybersecurity

AI / Machine Learning

Full-Stack

Linux CLI

Phase 2: Intermediate (Darmiyani Satah)

Build skills. Solve 3-4 LeetCode medium problems daily, 2 CLI tasks weekly. Capstone: Flask API with rate limiting

Cybersecurity

AI / Machine Learning

Full-Stack

Linux CLI

Phase 3: Advanced (Uchi Darja)

Deepen expertise. Solve 1-2 LeetCode hard problems daily, 1 advanced CLI task weekly. Capstone: Neural network for image classification

Cybersecurity

AI / Machine Learning

Full-Stack

Linux CLI

Phase 4: Mastery (Shahana Maharat)

Innovate and lead. Contribute to open-source, build complex projects. Capstone: Custom Arch Linux build script

Cybersecurity

AI / Machine Learning

Full-Stack

Linux CLI