Master the mathematical and theoretical foundations of diffusion models and gain a deep understanding of the algorithms powering today’s most advanced generative AI systems—without writing a single line of code.
Diffusion models have transformed the field of generative artificial intelligence, enabling breakthroughs in image generation, video synthesis, audio generation, scientific simulation, and multimodal AI. While many courses focus on implementation, this course is designed to help you understand why diffusion models work by building strong conceptual and mathematical foundations.
Rather than teaching programming syntax, this course develops the mental models required to understand diffusion processes, probability theory, neural architectures, optimization techniques, and the architectural trade-offs behind modern generative AI systems.
