Introduction to Generative AI

Catalog description

This course offers a comprehensive introduction to generative AI, covering its evolution from foundational AI techniques to modern advancements in deep learning. Students will explore key breakthroughs in neural networks that have enabled the development of cutting-edge generative models, including large language models (LLMs) such as ChatGPT, which are transforming fields like natural language processing, content generation, and AI-assisted coding. The course also delves into diffusion models, which are used for high-quality image generation and manipulation. Emphasizing both theoretical concepts and hands-on practice, students will learn core techniques such as model training, optimization, and debugging, while gaining practical experience in applying generative models to real-world problems. By the end of the course, students will have the knowledge and skills to develop, fine-tune, and implement generative AI models, preparing them to engage with the latest advancements in AI technology.