# Event Details

- **Event Name**: NVIDIA Course: Generative AI with Diffusion Models
- **Event Start and End Date**: Tue, 21 Apr, 2026 at 11:30 am – Tue, 21 Apr, 2026 at 05:00 pm (-05:00)
- **Event Description**: In this course, learners will take a deeper dive into denoising diffusion models, which are a popular choice for text-to-image pipelines.About this EventThanks 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.
- **Event URL**: https://allevents.in/jonesboro/nvidia-course-generative-ai-with-diffusion-models/100001987568890054
- **Event Categories**: workshops, artificial-intelligence, art, it
- **Interested Audience**: 
  - total_interested_count: 0

## Ticket Details

- **Ticket Price Range**: min: 0, max: 0, currency: USD

## Event venue details

- **city**: Jonesboro
- **state**: AR
- **country**: United States
- **location**: Arkansas State University
- **lat**: 35.8430861
- **long**: -90.67485889999999
- **full address**: Arkansas State University, 2105 East Aggie Road, Jonesboro, United States

## Event gallery

- **Alt text**: NVIDIA Course: Generative AI with Diffusion Models
  - **Image URL**: https://cdn-az.allevents.in/events2/banners/f8ad16fd83abd48536b3b94a8fa4bd3272750543fcd46c73d8361318d19de4c7-rimg-w1200-h800-dc030303-gmir.jpg?v=1776308580

## FAQs

- **Q**: When and where is NVIDIA Course: Generative AI with Diffusion Models being held?
  - **A:** NVIDIA Course: Generative AI with Diffusion Models takes place on Tue, 21 Apr, 2026 at 11:30 am to Tue, 21 Apr, 2026 at 05:00 pm at Arkansas State University, 2105 East Aggie Road, Jonesboro, United States.
- **Q**: Who is organizing NVIDIA Course: Generative AI with Diffusion Models?
  - **A:** NVIDIA Course: Generative AI with Diffusion Models is organized by NVIDIA.
- **Q**: Who is this event for? Is it right for me?
  - **A:** NVIDIA Course: Generative AI with Diffusion Models is ideal for curious learners, students, and skill-builders looking to gain hands-on knowledge and practical expertise in a focused, interactive setting. Whether you're a first-time attendee or a longtime enthusiast in Jonesboro, this event is thoughtfully curated to deliver a standout experience worth every moment. If NVIDIA Course: Generative AI with Diffusion Models sounds like your kind of event, don't wait - spots fill up fast.

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