Module 1: Security, Ethics & Linux
Understand security principles, authorization boundaries, responsible disclosure, Linux administration, and repeatable lab practice.
Study Linux, networks, vulnerability assessment, web security, and authorized testing alongside responsible AI-assisted analysis and emerging AI-system risks.
Understand security principles, authorization boundaries, responsible disclosure, Linux administration, and repeatable lab practice.
Study network models, addressing, routing, DNS, VPN concepts, traffic analysis, logging, and common protective controls.
Practice scoped discovery, scanning, validation, risk documentation, and remediation planning inside authorized environments.
Explore common web risks, authentication and session issues, input handling, access control, and safer development practices through labs.
Apply approved testing methods in isolated environments and communicate evidence, impact, limitations, and remediation clearly.
Evaluate AI-supported triage and analysis with human verification, then examine prompt injection, data exposure, model misuse, and monitoring basics.
Assess a sandboxed environment, validate findings, prioritize risk, and produce a practical remediation report.
Map data flows and trust boundaries for a sample AI feature, test approved misuse cases, and propose layered controls and human oversight.