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Generative AI with Diffusion Models

Thanks to improvements in computing power and scientific theory, Generative AI is more accessible than ever before.Generative AI will play a significant role across industries and will gain...

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$500 USD
Duration 1 day
Course Code NV-GEN-AI-DM
Available Formats Classroom

Overview

Thanks to improvements in computing power and scientific theory, Generative AI is more accessible than ever before.Generative AI will play a significant role across industries and will gain significant importance due to its numerous applications such as Creative Content Generation, Data Augmentation, Simulation and Planning, Anomaly Detection, Drug Discovery, and Personalized Recommendations etc. In this course we will take a deeper dive on denoising diffusion models, which are a popular choice for text-to-image pipelines, disrupting several industries.

Skills Gained

By participating in this workshop, you’ll learn:

  • Build a U-Net to generate images from pure noise
  • Improve the quality of generated images with the Denoising Diffusion process
  • Compare Denoising Diffusion Probabilistic Models (DDPMs) with Denoising Diffusion Implicit Models (DDIMs)
  • Control the image output with context embeddings
  • Generate images from English text-prompts using CLIP

Prerequisites

  • Good understanding of PyTorch
  • Good understanding of deep learning

Course Details

Workshop Outline

Introduction

From U-Nets to Diffusion

  • Build a U-Net, a type of autoencoder for images.
  • Learn about transposed convolution to increase the size of an image.
  • Learn about non-sequential neural networks and residual connections.
  • Experiment with feeding noise through the U-Net to generate new images

Control with Context

  • Learn how to alter the output of the diffusion process by adding context embeddings
  • Add additional model optimizations such as
  • Sinusoidal Position Embeddings
  • The GELU activation function
  • Attention

Text-to-Image with CLIP

  • Walk through the CLIP architecture to learn how it associates image embeddings with text embeddings
  • Use CLIP to train a text-to-image diffusion model

State-of-the-art Models

  • Review various state-of-the-art generative ai models and connect them to the concepts learned in class
  • Discuss prompt engineering and how to better influence the output of generative AI models
  • Learn about content authenticity and how to build trustworthy models

Final Review

Schedule

FAQ

Does the course schedule include a Lunchbreak?

Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does Ascendient Learning deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

What does vendor-authorized training mean?

As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.

Is the training too basic, or will you go deep into technology?

It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.

How up-to-date are your courses and support materials?

We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.

Are your instructors seasoned trainers who have deep knowledge of the training topic?

Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.

Do you provide hands-on training and exercises in an actual lab environment?

Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.

Will you customize the training for our company’s specific needs and goals?

We will work with you to identify training needs and areas of growth.  We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.

How do I get started with certification?

Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.

Will I get access to content after I complete a course?

You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.

How do I request a W9 for Ascendient Learning?

View our filing status and how to request a W9.

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