Cyber Security: Application of AI

• Watch our course introduction video before you enroll! (copy and paste into browser) https://vimeo.com/1176025320 AI for Cyber Security: Defend Smarter, Not Harder Artificial intelligence (AI) and machine learning (ML) are essential for modern cyber defense. This course provides a hands-on guide to understanding how AI and ML detect, disrupt, and defend against cyber threats. This program focuses on practical applications needed by organizations. Key topics include: • Build foundational AI and ML concepts, including model training, learning types, and accuracy. • Apply ML tools and models to security problems like malware analysis, fraud detection, and network monitoring. • Analyze network traffic using anomaly detection with supervised and unsupervised ML methods (e.g., k-nearest neighbors, one-class SVM). • Experiment with ML-driven analysis to identify malware and apply artificial neural networks for detection. • Understand adversarial machine learning, including poisoning and evasion attacks, and how to build resilient systems. Basic familiarity with Python programming is recommended for practical activities and labs. This course is designed for cyber security professionals, SOC analysts, engineers, data scientists, and tech leaders seeking to enhance security strategies with intelligent automation and machine-driven defense

• Grasp core AI and ML concepts for cyber threat detection
• Apply machine learning to analyze malware and detect network anomalies
• Use AI-driven tools for fraud prevention and incident response
• Recognize and counter adversarial AI attacks

• Basic familiarity with terminology
• Readiness to practice through applied exercises