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AI Cybersecurity

AI Cybersecurity

Learn the technical side of data. Master Google Tag Manager, server-side tracking, and user behavior analytics in our comprehensive Digital Tracking course. Build data-driven systems today.

₦250000

₦300000
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Has discount
Expiry period 1 Months
Made in English
Last updated at Wed May 2026
Level
Advanced
Total lectures 0
Total quizzes 0
Total duration 0 Hours
Total enrolment 0
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Short description Learn the technical side of data. Master Google Tag Manager, server-side tracking, and user behavior analytics in our comprehensive Digital Tracking course. Build data-driven systems today.
Outcomes
  • 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.
Requirements
  • Intermediate knowledge of Cybersecurity fundamentals (SOC operations or Pentesting).
  • Basic proficiency in Python programming (libraries like Scikit-Learn or Pandas is a plus).
  • Understanding of basic statistics and data handling.
  • Access to a cloud environment (AWS/Google Cloud) or a high-performance local machine for model training.