Available courses

This course introduce learners to best practices in security governance, information governance, and system development, as well as to familiarize them with standards in information management.

This course provides comprehensive insights into the history, various types, and applications of Blockchain technology, alongside an understanding of cryptography and consensus algorithms.

This course provides a multidisciplinary framework for managing risks from advanced AI, beginning with a technical foundation and an analysis of catastrophic risk sources, including malicious use and rogue systems. It then explores technical safety through alignment and robustness to control increasingly complex AI agents. The course content addresses machine ethics, investigating how to instill beneficial objectives concerning well-being and justice. Finally, it examines collective action and governance strategies across corporate, national, and international levels to mitigate systemic dangers.

This course will enable the student to learn various machine learning techniques, namely supervised, unsupervised, and reinforcement learning, by providing insights into their variants and correlating them with real-time applications.