Machine Learning for Cyber Threat & Anomaly Detection

Machine learning is transforming how organisations detect cyber threats — but most security professionals lack hands-on experience building and deploying ML models. This course closes that gap, taking you from core ML concepts to practical, applied threat detection on real cybersecurity datasets. You'll start with the foundations: model training, learning types, and measuring model accuracy. You'll also learn how attackers exploit ML systems through inference, poisoning, and adversarial input — giving you a security-first perspective from the start. From there, you'll move into hands-on applic