Current
Intermediate
40% Off
AI for Cybersecurity
Coursera · Johns Hopkins University · Updated March 2026
Platform rating
4.4/5
AI Tutor Rating
8.2/10
Duration
3-6 months
Classes
150
Learn to apply AI for cybersecurity including anomaly detection, threat hunting, malware analysis, and fraud detection.
What you'll get
Defend against adversarial attacks on ML models
Build AI-powered threat detection systems
Implement anomaly detection for security
Fit
Best for
Software Engineers
DevOps/MLOps Engineers
Data Engineers
Platform Engineers
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Basic ML and networking
Pricing
Subscription
Certification
Certificate
Growth Leverage: Completing this course positions you for roles such as AI Security Analyst, Cybersecurity Data Scientist, or Threat Intelligence Analyst, enabling you to pursue certifications like Certified Information Systems Security Professional (CISSP) or Certified Cyber Intelligence Professional (CCIP) that enhance your credibility in the field.
Skills Value: The AI skills learned create immediate value by enabling you to develop advanced threat detection systems, addressing critical security challenges that can command salaries exceeding $120,000, as companies actively seek experts in AI-driven cybersecurity due to increasing cyber threats.
Cybersecurity
AI Security
Anomaly Detection
Threat Hunting
Malware