Learning Hub

Security-first Python from zero to portfolio. Build real tools every stage — automation scripts, API integrations, a full capstone project. NICE Cybersecurity Framework aligned.

From Linux CLI basics to full penetration testing engagements. 340–395 hours of structured, lab-based learning aligned with PenTest+, CEH, eJPT, and OSCP.

Complete beginner to entry-level ethical hacker. 17 stages covering every domain: recon, exploitation, web security, wireless, cloud, mobile, malware, and social engineering.

Comprehensive exam-ready study system for the most popular entry-level security certification. All 5 domains with practice questions, Anki flashcards, cheat sheets, and labs.

Build complete web applications from blank page to live deployment. HTML/CSS, JavaScript, React, Node.js, databases, REST APIs, and cloud hosting — everything a working developer ships.

21 chapters, 4 parts, one project that grows with you. Go from zero Python to writing clean, professional-grade applications — built around the Coffee Shop Simulator project thread.

25 sections from "what is AI?" to building production LLM apps. Text models, image generation, agents, RAG, LangChain, LangGraph, evals, and real-world deployment. Aligned with AWS ML, GCP ML, and Databricks GenAI certs.

Operate detection and response systems under process control — not just learn attacks from the defender's side. SIEM querying (KQL & SPL), EDR investigations, MITRE ATT&CK mapping, cloud logging, and the full NIST IR lifecycle.

From Linux fundamentals to running Kubernetes clusters on the cloud. Docker, CI/CD, Terraform, monitoring — and cert-ready for AWS and CKA.

Master React 19 from zero to advanced. 728 lectures covering components, hooks, Redux, React Router, Next.js 14+, TypeScript, testing, and animations. Two paths: full course (>70h) or 4-hour fast-track.

Go from understanding how LLMs work to building production-grade AI. Covers transformer architecture, RAG pipelines, vector databases, fine-tuning, evaluation frameworks, and deployment on real infrastructure. Hands-on with Python, OpenAI, Hugging Face, and LangChain throughout.

Build real AI systems that reason, plan, and act. Covers multi-agent orchestration, tool use, memory systems, structured outputs, serverless AI deployment, and production-ready agentic architectures. Built around the emerging MCP standard and frameworks like CrewAI and LangGraph.