Seminar: Deep Learning and Generative AI Essentials

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• 3 Credit Hours

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Course Name: Seminar: Deep Learning and Generative AI Essentials
Current Code: CS-8001
Credit Hours: 3 credits
Available To: OMSCS
Description: Deep learning forms the foundation of modern artificial intelligence systems, enabling computers to learn complex patterns from large datasets and perform tasks such as image recognition, language understanding, and decision-making. Generative AI builds on this foundation to create models capable of producing realistic content, from images and text to simulations and synthetic data. This seminar is organized as a series of modules, each consisting of lectures, notebooks, write-ups, and discussions. Designed for learners from all backgrounds, it offers an intuitive, hands-on introduction to the foundational concepts of deep learning and generative AI, emphasizing practical understanding over heavy mathematical theory. Participants will explore the building blocks of neural networks and gain exposure to key generative AI techniques, including Autoencoders, Generative Adversarial Networks (GANs), and Diffusion Models. The seminar also includes optional, ungraded, instructor-led synchronous workshops, sponsored by NVIDIA DLI. These workshops offer cloud GPU access for deeper hands-on practice and provide opportunities to earn NVIDIA certificates of competency upon successful completion of each workshop in the series.

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