Artificial Intelligence in Cybersecurity (CyberPro Train IT–ES–GR)

This course, Artificial Intelligence in Cybersecurity, provides an overview of how AI and machine learning are applied in cybersecurity, including the basics of machine learning algorithms and their applications in threat analysis. 

Course contents

Hours 1–2: Introduction and Applications of AI in Cybersecurity

Objectives 

• Define AI and its relevance to cybersecurity

• Discuss the evolution of AI-driven cybersecurity solutions

• Identify key areas where AI enhances cybersecurity

• Analyze examples of AI-driven security systems

Practical exercise

• Case study discussion

Interactive quiz

• Basic questions on AI concepts and multiple-choice questions on AI applications

Hours 3–4: Understanding AI, Machine Learning, and Models for Cybersecurity

Objectives

• Define AI and machine learning

• Explain the difference between AI, machine learning, and deep learning

• Explore supervised, unsupervised, and reinforcement learning

• Discuss common machine learning algorithms in cybersecurity

Practical exercises

• Short research assignment on AI technologies and classification of cyber threats using a simple ML model

Interactive quiz

• Identify AI vs ML vs Deep Learning and model matching exercise

Materials to provide

• PowerPoint slides for each module 

• Practical exercises and quizzes

• Links to additional resources (articles, readings, video tutorials)

Teaching methodology

• Theoretical lessons: Each module includes a theoretical explanation of the main concepts

• Practical exercises and group discussions: Opportunities for collaboration and discussion of real-world case studies

Target audience

• Professionals, including SME employees and Public Administration staff, looking to enhance their cybersecurity knowledge