Johns Hopkins University 2 credits Information Systems
This comprehensive course is designed to immerse students in the dynamic fields of generative AI. By exploring both the theoretical underpinnings and practical applications, students will gain an in-depth understanding of the most advanced AI models and their impact across various business sectors. Knowledge of deep learning is recommended but not required.Topics include encoder-decoder architectures, generative adversarial networks (GANs), text and natural language generation using transformer models, as well as cutting-edge image generation models like Stable Diffusion, Midjourney, DALL-E, and innovative video generation models like W.A.L.T.The course adopts a hands-on, learning-by-doing approach. Students will utilize Python packages such as scikit-learn, Keras, TensorFlow, and PyTorch. The focus is on fostering awareness of these technologies, building some level of familiarity through assignments, and developing strategic thinking regarding their application in business.
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