Security
The deepest track: offensive methodology, defensive detection, AI/agent red-teaming, cloud & container hardening, and digital forensics. Every course carries a prime directive — hands-on work happens only against owned, lab, or explicitly authorized systems. You attack so things can be fixed, and you write findings that hold up.
CLI-First Ethical Security Engineering
A legal, ethical, CLI-first path toward becoming an AI-assisted defensive security engineer — authorized labs only. Build detections, review code, harden systems, and automate forensics.
AI / Agent Security — Red Team & Hardening
Learn to break and bulletproof AI agents through ethical, authorized red-teaming — then build the guardrails and evals that keep them defensible.
Cloud & Container Security
Harden the cloud, edge, and container platform your apps actually run on — VPS hosts, Docker workloads, the CDN edge, secrets and IaC — and prove it with measured posture.
SIEM & Threat Hunting
Turn detection from a one-off skill into a monitoring discipline — and a product. Ingest logs, engineer detections at scale, map coverage to MITRE ATT&CK, hunt, triage, and alert.
DFIR & Digital Forensics
Investigate to an expert-grade, defensible standard — acquire and preserve evidence, analyze disk, memory, log and network, build timelines, triage malware in isolation, and write findings that hold up.
Offensive Security / Pentest Methodology
Structured, authorized penetration testing — the methodology, evidence discipline, and client-grade reporting needed to scope and deliver formal engagements.