Artificial Intelligence Systems for Cybersecurity

Description

This microcredential aims to equip students with both theoretical and practical competencies in the application of artificial intelligence (AI) to cybersecurity. Learners will gain insight into threat detection, anomaly identification, and the ethical and legal implications of deploying AI in digital security infrastructures. Upon completing this course, students will be equipped to understand the fundamental principles of artificial intelligence in cybersecurity context, including the identification of various threat models and attacks. They will gain practical skills in applying machine-learning techniques for intrusion detection systems and utilizing deep learning for effective malware classification. Additionally, students will explore ethical hacking practices and AI-driven vulnerability assessments. Legal and ethical considerations surrounding the use of AI in cybersecurity will be critically examined. Finally, through practical case studies and a collaborative group project, students will apply their knowledge to real-world scenarios, enhancing their problem-solving and teamwork skills in the field of cybersecurity.