Courses

Short-Term Course on How Diffusion Models Work by Deep Learning AI & Lamini [Python; Tensorflow; Pytorch; 1h; Free for Limited Time]: Join Now!

Apoorva

Jul 8, 2023
2 min read

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In collaboration with Lamini, Deep Learning AI invites geeks to join their brand-new short-term course on Diffusion Models fundamentals. Check the details below!

About Deep Learning AI

DeepLearning AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. DeepLearning AI has created high-quality AI programs on Coursera that have gained an extensive global following. By providing a platform for education and fostering a tight-knit community, DeepLearning AI has become the pathway for anyone looking to build an AI career.

About Lamini

The Lamini is the LLM platform for developers to specialize LLMs on their own data and infrastructure: easier, faster, and better than any LLM for their use case. Giving every developer the superpowers that took the world from GPT-3 to ChatGPT. From speed optimizations like LoRA to enterprise features like virtual private cloud (VPC) deployments.

Course Highlights

Understand diffusion models in use today
Build your own diffusion model, and learn to train it
Implement algorithms to speed up sampling 10x

Learning Objectives

In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch.

In this course, you will:

Explore the cutting-edge world of diffusion-based generative AI and create your own diffusion model from scratch.
Gain deep familiarity with the diffusion process and the models driving it, going beyond pre-built models and APIs.
Acquire practical coding skills by working through labs on sampling, training diffusion models, building neural networks for noise prediction, and adding context for personalized image generation.

At the end of the course, you will have a model that can serve as a starting point for your own exploration of diffusion models for your applications.

This one-hour course, taught by Sharon Zhou will expand your generative AI capabilities to include building, training, and optimizing diffusion models.

Hands-on examples make the concepts easy to understand and build upon. Built-in Jupyter notebooks allow you to seamlessly experiment with the code and labs presented in the course.