UC Berkeley School Of Information

Buyer seeks proposals for developing a 14-week online graduate course in Cybersecurity for Artificial Intelligence and Machine Learning. The course will cover the intersection of cybersecurity with AI/ML systems, including both securing AI systems and using AI techniques for cybersecurity. Buyer requires development of presentation slides, topic outlines, and assignments that align with learning objectives. The course will be offered in the Master of Information and Cybersecurity program.

• 5/16/2025 - Proposal Due Date

• Experience with cybersecurity principles and AI/ML security
• Knowledge of adversarial machine learning
• Ability to teach master's level graduate students online

• Design curriculum covering AI/ML security and using AI/ML for cybersecurity
• Create 14-week master's level online course structure
• Develop materials on adversarial machine learning attacks
• Build labs for training and defending malware detection models
• Create content on LLM threats and security implications
• Design exercises on AI-powered social engineering attacks
• Develop materials on NIST AI Risk Management Framework
• Create assessments reinforcing cybersecurity-AI intersection concepts
• Design content on secure model training and deployment
• Prepare modules on AI system auditability and explainability