Course / Course Details
Basic knowledge of computers and internet usage.
No prior AI or programming experience required.
A laptop or desktop with reliable internet access.
Interest in AI, data-driven security, and advanced cyber defense techniques.
This course introduces learners to the integration of Artificial Intelligence (AI) and Machine Learning (ML) in modern cybersecurity defense. It focuses on how AI enhances threat detection, incident response, predictive security, and Security Operations Center (SOC) automation. Through conceptual understanding, real-world case studies, and practical use cases, learners gain insight into AI-driven cyber defense strategies, ethical considerations, and emerging career pathways in AI-based cybersecurity roles.
On successful completion of the course, learners will be able to:
Understand core AI and ML concepts and their relevance to cybersecurity.
Explain how AI improves threat detection, malware analysis, and network monitoring.
Apply AI-based techniques for anomaly detection and phishing identification.
Describe the role of AI in SOC automation and incident response workflows.
Analyze predictive security models for risk assessment and vulnerability management.
Evaluate the effectiveness and limitations of AI in cyber defense.
Recognize ethical, legal, and bias-related challenges in AI-driven security systems.
Identify career roles and skill requirements in AI-powered cybersecurity.
No Review found