COMP-2703Private AI and Data Security
In this course, students will explore the principles and practices of secure, privacy-first artificial intelligence (AI) and data systems. Focusing on applied techniques rather than underlying theory, students will learn to design, deploy, and manage AI systems that prioritize data sovereignty, cybersecurity, and ethical considerations. Key topics include secure AI model development, privacy-preserving tools, threat mitigation, and compliance with regulatory frameworks. Students will apply these concepts using industry-relevant tools to solve real-world challenges in data science and machine learning. This course reinforces foundational knowledge from prior program courses while introducing culminating skills for professional practice in secure AI deployment.
