This course provides a comprehensive overview of the principles and practices of data privacy, security, and governance, focusing on their application in data science and AI-driven systems. Students will explore privacy regulations, data protection techniques, governance frameworks, and security measures necessary to build compliant, secure, and ethical AI-based systems. The course combines theoretical knowledge with practical case studies and hands-on lab sessions to equip students with the skills and solid understanding of the legal, ethical, and technical aspects needed to create secure, privacy-conscious, and well-governed data systems in the AI-driven world.