Courses
Hands-on cybersecurity and machine learning courses with integrated labs and flag-based verification. All courses are currently in active development.
Hacking With Cursor: AI-Powered Penetration Testing
Build a multi-agent pentesting harness from scratch in Cursor IDE.
25 modules, 68 lessons, 11 hands-on labs
Build a complete AI-powered pentesting harness from scratch using Cursor IDE. Every module produces a real artifact: rules that encode methodology, skills that turn repeatable work into one-shot operations, custom subagents forming a specialist pentest team, and MCP servers connecting your toolchain. By the end you have a working multi-agent system you can drop into any engagement. This is not a learn-pentesting course or a learn-Cursor course. This teaches the intersection: how to configure and wield Cursor as a penetration testing force multiplier using rules, skills, subagents, and MCP integrations.
Modules
Windows Exploit Internals: From Usermode to Hypervisor
Bridge the gap between OSED and OSEE.
9 modules, 51 lessons, 9 hands-on labs
Bridge the gap between OSED and OSEE-level content across 9 modules. Master advanced Windows exploitation from heap attacks and kernel exploitation to browser type confusion, win32k privilege escalation, hypervisor escape, and modern mitigation bypasses, with hands-on downloadable lab environments.
Modules
Survey of Machine Learning with Hugging Face
Practical ML built around Hugging Face and Kaggle competition mastery.
16 modules, 74 lessons, 15 hands-on labs
The complete practical machine learning course built around the Hugging Face ecosystem and Kaggle competition mastery. Learn every major track (tabular, NLP, computer vision, and time series) using real tools professionals use in 2026. Grounded in actual competition-winning techniques: first-place solutions using LLM agents to run 850 experiments, feature engineering playbooks generating 10,000 candidate features, and DeBERTa fine-tuning patterns that dominated NLP leaderboards. The right course if you are transitioning into ML from a technical background or want to build serious competition skills on top of existing programming knowledge.