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Diffusion Models: Theory, Training, and Deployment on Vertex AI

Free course on diffusion models in image generation, covering theory, training, deployment, and industry applications. Earn badge.

CloudPedia.AI
Article prepared By CloudPedia.AI
  • Published on June 1, 2024
  • English
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AI generated image using OpenAI DALL·E 3.

Overview

This course introduces diffusion models, a family of machine learning models that have shown promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics, and have become popular in both research and industry in recent years. This course covers the theory behind diffusion models and how to train and deploy them on Vertex AI.

Prerequisites

  • Machine learning
  • Deep learning
  • Convolutional neural nets (CNNs)
  • Python Programming

Modules

  • How diffusion models work
  • Real use-cases for diffusion models
  • Unconditioned diffusion models
  • Advancements in diffusion models (text-to-image)

Price

No cost

What you will get from this course?

This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI. Upon completion, you can earn a badge to showcase your skills. Boost your cloud career by demonstrating the skills you have developed.



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FREE
Try Google Cloud freeNew Google Cloud customers from CloudPedia receive $300 plus an additional $50 in free credits to test, deploy, and explore Google Cloud's AI products for 90 days. Get started using the link above.
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