NVIDIA Workshop: Generative AI with Diffusion Models

The NVIDIA Deep Learning Institute (DLI), Arkansas High Performance Computing Center (AHPCC) in collaboration with the University of Arkansas in Little Rock (UALR) invite you to attend the Generative AI with Diffusion Models workshop.

This workshop is led by an NVIDIA certified instrutor. An NVIDIA DLI certificate is availble to those who complete the assesment test at the end of the workshop.

This training is exclusively for verifiable academic students, staff, and researchers in Arkansas.

About this Course

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.

Learning Objectives

• Build a U-Net to generate images from pure noise
• Improve the quality of generated images with the denoising diffusion process
• Control the image output with context embeddings
• Generate images from English text prompts using the Contrastive Language—Image Pretraining (CLIP) neural network

Topics Covered

• U-Nets
• Diffusion
• CLIP
• Text-to-image Models

Prerequisites

• A basic understanding of Deep Learning Concepts.
• Familiarity with a Deep Learning framework such as TensorFlow, PyTorch, or Keras. This course uses PyTorch.

Assessment Type: Code-based

Certificate Available

Learn more here:

https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-14+V1

Location

UofA Campus, JB Hunt Building (JBHT), room 239

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Host or Publisher Arkansas High Performance Computing Center