AI Security: Security in the Age of AI

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

• Secure AI systems using static analysis, threat modeling, and vulnerability assessment techniques
• Implement production security controls including monitoring, incident response, and patch management
• Conduct red-teaming exercises and build resilient defenses against AI-specific attack vectors

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work