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Through a partnership with the Dendritic: A Human-Centered AI and Data Science Institute, Florida Gulf Coast University offers the Artificial Intelligence & Cybersecurity micro-credential to individuals who participated in the academy program, completing the 8-10 hour training and displaying proficient skills in applying AI-driven techniques to cybersecurity challenges, including threat detection, incident response, adversarial AI, and ethical considerations in security applications.
Anomaly detection is the ability to recognize and flag unusual data patterns or behavior that deviate from expected norms, often using statistical or machine learning methods.
AI Risk Management is the process of recognizing and addressing potential risks and ethical concerns related to artificial intelligence systems.
Threat intelligence is the process of gathering and analyzing information to anticipate and counter potential security threats in various contexts.
**Learning Objectives:** • Understand the fundamentals of AI in cybersecurity: opportunities, limitations, and threat models • Apply machine learning and deep learning for intrusion detection and anomaly detection • Use AI-enabled threat intelligence, malware analysis, and automated incident response strategies • Recognize and address adversarial AI: evasion, poisoning attacks, and robustness of security models • Apply AI-driven monitoring to Edge/IoT and smart system security • Integrate human-centered AI principles and ethical considerations in cybersecurity applications **Earning Requirements** Participants will master these skills by the successful completion enrolled in the fully online course, including the review of all module learning materials and completing the final capstone project. The capstone project requires participants to design an AI-driven cybersecurity solution or threat analysis framework, with a written report addressing ethical considerations.