Fractal Analytics
How to Build a Diffusion Model - An Introduction
Fractal Analytics

How to Build a Diffusion Model - An Introduction

Fractal Analytics Academy
Akshesh Shah

Instructors: Fractal Analytics Academy

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Core concepts behind diffusion models and their role in generative AI

  • How to build and train diffusion models from scratch

  • Techniques for creating text-to-image generation systems

  • Evaluation metrics and real-world applications of diffusion models

Details to know

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Recently updated!

May 2025

Assessments

7 assignments

Taught in English

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There are 3 modules in this course

Explore the fundamentals of deep learning and generative models. Understand the diffusion process, its types, and applications in AI.

What's included

7 videos4 readings3 assignments2 discussion prompts

Learn the architecture and mechanics of diffusion models. Dive into forward/reverse passes, loss functions, and training strategies.

What's included

29 videos5 readings4 assignments5 ungraded labs

Build end-to-end text-to-image systems. Cover data preparation, model construction, training, evaluation, and hands-on labs.

What's included

1 video3 readings1 peer review

Instructors

Fractal Analytics Academy
Fractal Analytics
23 Courses102,604 learners

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