Generative AI

2 Credits.

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.