CYBR10022 - Cybersecurity Governance for Artificial Intelligence and Machine Learning

Course Description

This is a non-technical cybersecurity governance course aimed at professionals at all levels and their value-chains who are managing or working with Artificial Intelligence and Machine Learning systems. After having taken this course, students will be able to provide value-add to their organization through the needed education and training related governance principles for these future skills. This course will guide the student through an introduction on the main precepts of cybersecurity. There will be a focus on regulations, frameworks and case studies aimed at Artificial Intelligence and Machine Learning in North America, Europe, Asia, Africa, Latin America, Middle East, and Oceania. The student will gain the necessary skills related to understand the threat landscape, identifying the bad actors, and their motivations for the attacks and why they continue to target specific industry sectors. This course will provide the necessary skills training in governance , which includes the full cybersecurity preparedness and response lifecycle. Finally, the students will gain knowledge through different case studies from various regions around the world which demonstrate lessons learned for numerous sectors.