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Cybersecurity & AI Security Engineering

Defend applications and infrastructure, investigate incidents and evaluate AI-system risks through controlled defensive labs.

12 months learning + 6-month practicum pathway18 months total pathwayPortfolio-led learning
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PROGRAMME OVERVIEW

Capabilities to practise and demonstrate.

Learners interested in security operations, cloud and application defence, incident response and AI-specific security risk.

Learning focus

Networking, Linux and security foundationsSOC, SIEM and incident responseCloud IAM and application securityAI threat modelling and prompt-injection risksPrivacy, governance and hardeningDefensive labs and evidence-based reporting

Portfolio and outcome evidence

Monitored security lab
Detection rules and investigation report
Incident-response playbook
AI application threat model and security capstone
Source document

TIFES_Cybersecurity_AI_Security_Engineering_Brochure.html. The original supplied brochure/curriculum is preserved in the project at content/source-documents. Exact module sequencing and delivery details should be confirmed from that source before cohort launch.