Course description

As cybercriminals adopt Large Language Models (LLMs) and automated malware, traditional security measures are no longer enough. This course provides a deep dive into AI-Driven Cybersecurity, teaching you how to use AI to predict, detect, and respond to threats at machine speed.

You will explore how to build and deploy Machine Learning (ML) models for anomaly detection, automate SOC workflows using AI agents, and secure the AI pipeline itself. We cover the "Offensive AI" side—understanding how attackers use deepfakes and automated phishing—and the "Defensive AI" side—using neural networks to identify zero-day vulnerabilities. This module is essential for security professionals looking to future-proof their careers in the age of generative AI.

What will i learn?

• Implement AI for Threat Detection: Build ML classifiers to distinguish between normal network traffic and malicious activity.
• Defend AI Models: Protect against "Adversarial Machine Learning" attacks like data poisoning and model inversion.
• Automate Incident Response: Use AI to triaging alerts and suggest remediation steps in real-time.
• Detect AI-Generated Threats: Identify deepfakes, synthetic identities, and AI-authored phishing emails.
• Audit LLM Security: Secure internal company chatbots and LLM integrations against prompt injection.

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