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Cybaethrex Training · AI focus

AI in Cybersecurity.

The other direction: using machine learning for detection, and understanding where those models fail under an adversary.

Duration
60 hrs
Level
Applied
Labs
Dedicated lab access
Support
365 days after the cohort
01Syllabus

What the programme covers.

Built around lab hours rather than slide count. Each module is taught live and practised in the lab.

01

ML for threat detection

02

NLP on security data

03

Adversarial machine learning

04

Model evaluation & drift

05

Deploying detection responsibly

02Outcomes

What you will be able to do.

  • Build a detection model on real telemetry
  • Attack a model you just trained
  • Judge vendor AI claims critically
03How we teach

Learn. Practice. Apply. Achieve.

01

Learn: Build the foundation

Concepts first, in the order they actually matter, not in the order a syllabus lists them. You finish each module able to explain why a control exists, not just that it does.

02

Practice: Gain confidence in the lab

Dedicated cloud labs with deliberately vulnerable machines and cloud accounts. You break things repeatedly, in an environment where breaking things is the point.

03

Apply: Solve real-world scenarios

Scenario work drawn from engagements we have actually run: cloud misconfiguration, an over-scoped agent, a ransomware containment clock. Messy inputs, incomplete information.

04

Achieve: Career and certification ready

Certification preparation, interview practice and a portfolio of work you can show. Doubt support continues for a year after the cohort ends.

Cybaethrex Training

Interested in AI in Cybersecurity?
Ask about the next cohort.

Tell us about your background and what you want from the programme. We will tell you honestly whether it is the right fit, and when the next cohort starts.