Johns Hopkins University 3 credits Cybersecurity
This course covers basic concepts, principles, and fundamental approaches needed to have a thorough understanding of the complex interplay between generative AI and cybersecurity.. The main topics include Natural Language Processing, Large Language Models, Foundation Models, Generative Pretrained Transformers(GPTs), Diffusion Models, Variational Auto Encoders, Generative Adversarial Networks(GANs), Prompt Engineering, Self-Supervised Learning, Misuse & Adversarial Attacks, Social Engineering and the Future State of Gen AI and current Obstacles. Assignments, quizzes, exams, and projects will reinforce the learning experience, helping students grasp various concepts, the role of Generative AI in cybersecurity, and their practical applications.
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