NVIDIA Course: Generative AI with Diffusion Models

In this course, learners will take a deeper dive into denoising diffusion models, which are a popular choice for text-to-image pipelines.

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.

Here is a description for the Generative AI with Diffusion Models workshop, designed to match the tone and structure of your NVIDIA course.

🔹 What participants will learn:

• Foundations of Diffusion: Understanding Forward and Reverse Diffusion processes.
• Noise Scheduling & Denosing: Mastering Gaussian noise, U-Net architectures, and schedulers.
• Guidance Techniques: Implementing Classifier-Free Guidance (CFG) for precise image generation.
• Latent Diffusion Models (LDM): Optimizing efficiency by working in compressed latent spaces (Stable Diffusion).
• Fine-tuning & Adaptation: Practical experience with DreamBooth, LoRA, and ControlNet for customized outputs.
• Text-to-Image Pipelines: Integrating CLIP embeddings for semantic cross-modal understanding.
• Deployment & Optimization: Scaling diffusion workflows using NVIDIA TensorRT for high-throughput inference.

This workshop provides hands-on experience in architecting and deploying state-of-the-art generative pipelines, moving beyond simple prompts to professional-grade model control.

🎯 Ideal for:

Machine learning engineers, computer vision researchers, creative technologists, and developers looking to master the mechanics behind Stable Diffusion, Midjourney, and DALL-E.

Note: AI workshop attendees will receive NVIDIA Deep Learning Institute (DLI) certificates upon completion of an assessment test at the end of the workshop.