Cyber Security with AI: Modern Threat Intelligence & Automation
Leverage Machine Learning and Generative AI for automated threat detection, anomaly hunting, and defense automation.
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About This Program
As cyber threats scale in speed and complexity, AI-driven defense is essential. Master anomaly detection on network logs, automated phishing classification with NLP, and AI agent incident response orchestration.
Curriculum Modules
Machine Learning for Threat Detection
Unsupervised clustering for network anomalies, isolation forests, and classification pipelines.
NLP & LLMs in SOC Automation
Building AI triage copilots that summarize SIEM alerts and suggest remediation playbooks.
Defending AI Systems (Adversarial AI)
Mitigating prompt injections, data poisoning, model extraction, and securing AI APIs.
psychology Competencies You Will Build
work Target Career Roles
terminal Tool Stack
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