Practical cybersecurity training

Learn cybersecurity from scratch.

Build skills across networks, systems, ethical offensive and defensive security within authorized scope, applications, cloud, risk, incident response, threat intelligence and applied AI.

01

Cybersecurity fundamentals

Understand systems, files, users, permissions, networks, DNS, HTTP and risk before moving into applied security.

02

Practice with safe cybersecurity labs

The current lab library focuses on investigating fictional, sanitized evidence in isolated environments. Learn what a signal shows, what it does not prove and what to check next.

03

Produce evidence-based work

Build risk records, technical findings, timelines, incident reports and reasoned security recommendations that explain your decisions instead of repeating commands.

Start from zero

From computer basics to advanced practice.

Designed for beginners and learners who want a broad, practical cybersecurity foundation. The route spans 7 levels, 28 modules and 233 classes, with 310 guided practice activities embedded in those classes. Each module also has its own final integrator (28 total). Separately, the catalogue contains 36 complete labs: 4 open and 32 included with Pro. These standalone cases use fictional, sanitized evidence; module integrators are not included in the lab-catalogue count.

Assessment and feedback

Know how your work is assessed.

The progress-bearing checks, reports and module integrators are scored automatically by the platform. You see the result in the activity after submitting: correct or missing items, rubric breakdowns, evidence gaps and suggested next steps. Reports use a 1–10 rubric for context, evidence, reasoning, preservation and communication. Integrators show six scored dimensions and pass at 7/10 or higher.

These rule-based checks look for required structure, evidence fields and case-specific signals; they are not a full semantic review by a cybersecurity professional. A lab’s instructor debrief is a general reference guide, not personal feedback on your submission. Staff can record manual comments for some lab submissions, but individual review is not guaranteed, no academic response time is published, and those comments are not part of the standard learner feedback view.

Automated feedback appears when you run the activity. Support response times are separate and do not set a grading deadline.

La Cueva Blue Team

Spanish is the canonical language of the academy. Public pages also offer an English translation; technical commands, logs and evidence identifiers remain unchanged.

Read the Spanish homepage →