AI for Cybersecurity
Completed by Khaled Tarchi
September 21, 2025
11 hours (approximately)
Khaled Tarchi'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: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Threat Detection
- Category: Machine Learning
- Category: Machine Learning Algorithms
- Category: Cyber Security Policies
- Category: Anomaly Detection
- Category: Classification Algorithms
- Category: Cyber Attacks
- Category: AI Security
- Category: Data Ethics
- Category: Artificial Intelligence
- Category: Machine Learning Methods
