AI for Cybersecurity: Threat Detection and Prevention

About This Course

This three-week course is designed for cybersecurity professionals, IT specialists, and learners who want to understand how AI can strengthen modern security systems. You’ll start with the fundamentals and quickly move into practical, real-world use cases—covering everything from anomaly detection to malware analysis and predictive threat intelligence.

Each module blends clear, concept-based learning with hands-on practice, so you don’t just understand the ideas—you learn how to apply them. By the end of the course, you’ll be able to build and implement AI-driven approaches for threat detection and prevention, and you’ll also have a strong understanding of ethical concerns, limitations, and future trends in cybersecurity AI.

Aim

The aim of the course “AI for Cybersecurity: Threat Detection and Prevention” is to help participants understand how artificial intelligence can be used to improve cybersecurity outcomes. The course equips learners with the knowledge and practical skills needed to develop and apply AI-based solutions to detect, analyze, and prevent cyber threats effectively.

Course Objectives

By the end of this course, participants will be able to:

• Understand how AI enhances cybersecurity measures

• Learn and implement AI techniques for anomaly and intrusion detection

• Build practical AI-driven threat detection systems

• Apply machine learning to malware analysis and detection

• Use predictive analytics in cybersecurity scenarios

• Explore real-world applications and ethical considerations in cybersecurity AI

• Stay informed about emerging trends and research directions

• Strengthen problem-solving through hands-on tasks and case studies

• Prepare for advanced opportunities in AI + cybersecurity

Course Structure

Module 1: Introduction to AI in Cybersecurity

• Overview of AI applications in cybersecurity

• Key techniques: anomaly detection, intrusion detection

• Hands-on: Build a basic anomaly detection system

Module 2: Advanced Techniques for Cyber Threat Detection

• Machine learning for malware analysis and detection

• Predictive analytics for cybersecurity

• Hands-on: Implement a machine learning model for threat detection

Module 3: Ethics and Future Trends in Cybersecurity AI

• Ethical issues in AI-driven cybersecurity

• Case studies and real-world applications

• Future trends and research directions in AI for cybersecurity

Who Should Enrol?

This course is ideal for:

• Cybersecurity professionals looking to upgrade their skills with AI

• IT specialists aiming to integrate AI into security strategies

• Data scientists/analysts interested in cybersecurity applications

• Students and academics seeking practical exposure to AI in security

• Professionals from related fields curious about AI + cybersecurity

No prior AI experience is required, though a basic understanding of cybersecurity concepts will be helpful.