What you will learn

• Understand the fundamentals of AI and ML and how they are applied in cybersecurity, including key concepts, security domains and common cyber threats

• Learn the core ML techniques used in cybersecurity — supervised, unsupervised, and reinforcement learning — and when to apply each method

• Gain practical experience using Python to build, train, and evaluate ML models for malware detection, intrusion detection, and spam filtering

• Develop the skills to apply AI-driven approaches to protect systems and networks against evolving cyber threats and real-world security challenges