Cybersecurity Fundamentals with Artificial Intelligence

Cybersecurity threats are evolving faster than human analysts can track, requiring new methods for defense. Learn how Artificial Intelligence (AI) and machine learning provide the speed and scale needed to defend modern digital environments. By the end of this course, you will understand the core principles of AI-driven security, from data analysis and pattern recognition to deploying basic automated defenses against common attack vectors. What you'll learn: * Understand the fundamental concepts of machine learning (ML) and how they apply to modern security operations. * Analyze the differences between traditional signature-based detection and AI-powered anomaly detection techniques. * Practice identifying suitable data sources—such as network logs and endpoint telemetry—for training effective security models. * Learn how classification models are used for tasks like malware identification and phishing email filtering. * Apply basic principles of prompt engineering to effectively query security information and generate actionable threat intelligence reports. * Configure basic rules for integrating AI insights into existing security monitoring workflows. The course begins by establishing core cybersecurity definitions and basic AI concepts before moving into practical applications for threat analysis, security automation, and incident response planning. This course is designed for absolute beginners interested in cybersecurity, data science, or security operations (SecOps). No prior experience with AI or advanced security tools is required. Start building your expertise in the future of digital defense today.