Generative AI With Diffusion Models

Thanks to improvements in computing power and scientific theory, generative AI is more accessible than ever before. Generative AI plays a significant role across industries due to its numerous applications, such as creative content generation, data augmentation, simulation and planning, anomaly detection, drug discovery, personalized recommendations, and more. In this course, learners will take a deeper dive into denoising diffusion models, which are a popular choice for text-to-image pipelines.

An understanding of fundamental programming concepts in Python such as functions, loops, dictionaries, and arrays.

In this workshop, you’ll train deep learning models from scratch and learn tools and tricks to achieve highly accurate results.

You’ll also learn to leverage freely available, state-of-the-art pretrained models to save time and get your deep learning application up and running quickly.