Generative AI with Diffusion Models (NVIDIA) Course Overview

Unlock the potential of generative AI with our Generative AI with Diffusion Models (NVIDIA) course. This 16-hour program dives deep into denoising diffusion models—critical for text-to-image applications. Learn to build a U-Net that generates images from pure noise and enhance these images using advanced techniques in image denoising. Control image output with context embeddings and generate images from English text prompts using CLIP.

Learning Objectives:
- Build an image generation U-Net.
- Enhance images through the denoising process.
- Manipulate image outputs with embeddings.
- Generate text-based images using CLIP.

Practical Applications include creative content generation, data augmentation, and anomaly detection. Explore the transformative world of generative AI with us.