AI Security: Security in the Age of Artificial Intelligence

About this course

Create comprehensive AI security from code to deployment in this 13-course specialization covering the entire AI lifecycle. Learn to secure ML pipelines, implement threat modeling with MITRE ATLAS, optimize model performance, conduct red-teaming exercises, and automate incident response. Through hands-on labs using industry tools like Bandit, Semgrep, PyRIT, and MLflow, you'll build expertise in static analysis, vulnerability assessment, adversarial testing, and mobile AI protection. Gain practical skills to identify AI-specific threats including prompt injection, model extraction, data poisoning, and supply chain attacks while implementing robust security controls, monitoring systems, and recovery strategies for production AI deployments.

Prices, discounts and availability are set by Coursera. We may earn a commission when you purchase through links on this site.