Technical Fundamentals of Generative AI

This advanced program from Stanford Online delves into the core technical principles and architectures underpinning generative AI models. Participants will explore foundational concepts, understand various generative models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based models, and learn about their training and application in areas such as natural language processing, computer vision, and data synthesis. Through a blend of theoretical discussions and practical insights, students will gain the expertise to analyze, implement, and leverage generative AI for innovative solutions across various domains, preparing them for advanced roles in AI development and research. The course is designed for professionals and researchers looking to deepen their understanding of cutting-edge AI technologies.