AI for Cybersecurity
Completed by Ivan Verevkin
March 18, 2026
11 hours (approximately)
Ivan Verevkin's account is verified. Coursera certifies their successful completion of AI for Cybersecurity
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
Skills you will gain
- Category: Malware Protection
- Category: Information Systems Security
- Category: Anomaly Detection
- Category: Classification Algorithms
- Category: Responsible AI
- Category: Intrusion Detection and Prevention
- Category: Network Security
- Category: Deep Learning
- Category: Machine Learning Algorithms
- Category: Artificial Intelligence
- Category: Machine Learning Methods
- Category: Machine Learning
