How to Build a Diffusion Model – An Introduction

This intermediate-level course delves into the field of generative models, particularly focusing on diffusion models for image generation. Through an exploration of cutting-edge techniques, you’ll uncover how diffusion models work, from the fundamental concepts to the intricate architectures powering text-to-image generation.

As you deepen your understanding, you’ll also evaluate training strategies and discover how to fine-tune these models for maximum effectiveness. To get the most out of this course, a solid foundation in Machine Learning, Python, Calculus, Generative AI, PyTorch, TensorFlow, and Deep Learning is essential. Armed with these skills, you’ll be ready to build groundbreaking diffusion models that advance the frontier of AI creativity.