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Amazon Web Services

Generative AI with Diffusion Models

Amazon Web Services and Amazon via AWS Skill Builder

Overview

This course provides an overview of generative AI use cases related to diffusion models, mainly used for image creation and modification, and the business value they provide. Including diffusion model concepts and real-world applications, case studies, and considerations for evaluating different diffusion models based on use case needs.

  • Course level: Intermediate
  • Duration: 90min


Activities

This course includes presentations, real-world examples and case studies.

Course Objectives

In this course you will learn to:

  • How diffusion models differ from traditional Generative Adversarial Networks (GANs)
  • Describe diffusion model use cases and multimodal applications
  • Understand how diffusion models can be fine tuned
  • Understand considerations for evaluating different diffusion models based on use case needs

Intended Audience

This course is intended for:

  • Anyone looking to understand real-world applications of diffusion models
  • Decision makers looking to identify and evaluate generative AI use cases

Prerequisites

We recommend that attendees of this course have:

  • Introduction to Generative AI – Art of the Possible (digital)
  • A technical background and programming experience is helpful

Course Outline

Module 1: Evolution of Generative Models

  • Generative Adversarial Networks - GANs
  • Limitations of GANs
    Module 2: Diffusion Models - Concepts
  • Understanding image generation with diffusion models
  • Basic concepts and principles behind image generation with diffusion models
    Module 3: Stable Diffusion
  • Conceptual overview of Stable Diffusion
  • Architecture of Stable Diffusion
  • Real-world applications of Stable Diffusion
    Module 4: Training and evaluating diffusion models
  • Training diffusion models
  • Evaluating diffusion models

Module 5: Fine Tuning diffusion models

  • Fine-tuning pretrained models for specific tasks
  • Case studies and practical examples
    Demos
  • Amazon Bedrock image playground
  • Image to image SageMaker notebook
  • Fine-tuning using Amazon SageMaker JumpStart
    Module 6: Knowledge check and summary

Keywords

  • Gen AI
  • Generative AI

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