Learn what diffusion models are, how they work, and real use-cases for them. This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space.
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Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
What you will learn
Introduction to Image Generation with Google Cloud
- How diffusion models work.
- Real use-cases for diffusion models.
- Unconditioned diffusion models.
- Advancements in diffusion models (text-to-image).
Why take this course?
This course will familiarize you with diffusion models, a promising family of machine learning models widely used in image generation. Diffusion models serve as the foundation for numerous cutting-edge image generation models and tools available on Google Cloud. Throughout the course, you will gain a comprehensive understanding of diffusion model theory, along with practical knowledge on training and deploying these models on Vertex AI.
