Technical Fundamentals & Core Skills Topics
Core technical concepts including algorithms, data structures, statistics, cryptography, and hardware-software integration. Covers foundational knowledge required for technical roles and advanced technical depth.
Cryptography Fundamentals
Core concepts and vocabulary of cryptography: confidentiality, integrity, authentication, and non-repudiation; the difference between symmetric and asymmetric primitives; and how standard algorithms, libraries, and protocols fit together. Covers threat models, common standards, and applying primitives and cryptographic libraries correctly to real-world security problems. The entry point for the cryptography track.
Linux and Windows System Administration
Administering server operating systems: Linux fundamentals (shell, permissions, services), Windows Server roles and services, Active Directory/Group Policy, package management, and software updates. Covers day-to-day operational tasks and diagnostic tooling for keeping systems healthy. The practitioner surface for sysadmin and infrastructure roles.
Hardware Troubleshooting and Diagnostics
Diagnosing and resolving hardware problems: component identification, installation and driver setup, boot and startup troubleshooting, peripheral faults, and server hardware architecture. Covers a systematic approach to isolating failures across CPU, memory, storage, and peripherals. Practical bench-and-datacenter knowledge for support and infrastructure roles.
Estimation and Capacity Sizing
Structured back-of-the-envelope estimation for engineering: decomposing an unknown quantity, choosing reasonable assumptions, and arriving at a defensible order-of-magnitude answer, with an emphasis on system capacity, throughput, and resource sizing and Fermi-style problems. The fast-approximate-reasoning skill probed in system-design and engineering screens; analytical and statistical quantitative reasoning for data roles is owned by Data Science & Analytics.
Random Number Generation and Entropy
Sources of randomness and their role in security: entropy collection, cryptographically secure pseudorandom number generators (CSPRNGs), seeding, and the consequences of weak or reused randomness. Covers distinguishing statistical from cryptographic randomness and diagnosing entropy-related vulnerabilities.