AI for Cybersecurity
Completed by Samuel Gebremariam
September 24, 2025
11 hours (approximately)
Samuel Gebremariam'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: Model Training
- Category: Deep Learning
- Category: Information Systems Security
- Category: Artificial Intelligence
- Category: Machine Learning Methods
- Category: Intrusion Detection and Prevention
- Category: Cybersecurity
- Category: Data Ethics
- Category: Natural Language Processing
- Category: Responsible AI
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Malware Protection
