Generative Models Courses and Certifications

Google Gemini AI Course for Beginners

1 review

Explore Google Gemini AI: Learn fundamentals, obtain API key, understand models, and build an AI chatbot. Hands-on practice with text, image, and embedding functionalities for beginners.

• freeCodeCamp
• 1 hour 19 minutes
• On-Demand
• Free Video

Yannic Kilcher

Set Distribution Networks - A Generative Model for Sets of Images

Explores a novel framework for generating and encoding sets of images, introducing Set Distribution Networks that can create new object/identity sets while preserving key attributes.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Simons Institute

Yes, Generative Models Are The New Sparsity

Explore how generative models revolutionize data compression and signal processing, offering new perspectives on sparsity and optimization in machine learning.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Alan Turing Institute

Convergence of Denoising Diffusion Models Under the Manifold Hypothesis

Explores theoretical analysis of denoising diffusion models, providing convergence results for data distributions on lower-dimensional manifolds or empirical distributions, with quantitative bounds on Wasserstein distance.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

STFT Phase Retrieval - Robustness and Generative Priors - IPAM at UCLA

Explore STFT phase retrieval, focusing on robustness and generative priors. Learn about stable reconstruction techniques, application of generative models, and reducing required measurements in imaging and acoustics applications.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Yannic Kilcher

SinGAN - Learning a Generative Model from a Single Natural Image

Unconditional generative model learns from a single image to create diverse, high-quality variations. Uses pyramid of GANs to capture patch distribution at multiple scales, enabling flexible image generation and manipulation.

• YouTube
• 18 minutes
• On-Demand
• Free Video

Runway

How Generative Models Work - Understanding Neural Networks and Auto Encoders

Explore various generative models, their inner workings, and see a live demo of StyleGAN creating new images in RunwayML. Learn about neural networks and auto-encoders.

• YouTube
• 15 minutes
• On-Demand
• Free Video

Generative Memory Lab

Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution

Explore discrete diffusion modeling techniques for estimating data distribution ratios, enhancing generative AI capabilities and understanding.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Generative Memory Lab

Building Normalizing Flows with Stochastic Interpolants

Explore advanced techniques for constructing normalizing flows using stochastic interpolants, enhancing generative modeling capabilities.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

AI Doctoral Academy

Generative Models: Controllable Generation and Learning

Dive into advanced generative AI models with Prof. Patras, exploring controllable generation techniques and learning mechanisms for creating more precise and manageable AI-generated content.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Alexander Amini

Deep Generative Modeling - MIT 6.S191 Lecture 4

Explore deep generative modeling, including autoencoders, VAEs, GANs, and recent advances. Learn about latent variables, training techniques, and applications in AI-driven content creation and data analysis.

• YouTube
• 56 minutes
• On-Demand
• Free Video

MIT HAN Lab

Efficient Video Understanding and Generative Models - Lecture 19

Explore efficient video understanding and generative models, focusing on techniques for deploying neural networks on resource-constrained devices and optimizing deep learning applications.

• YouTube
• 1 hour 38 minutes
• On-Demand
• Free Video

MIT HAN Lab

Efficient Video Understanding and Generative Models - Lecture 19

Explore efficient video understanding and generative models, focusing on techniques for deploying neural networks on resource-constrained devices and optimizing deep learning applications.

• YouTube
• 1 hour 38 minutes
• On-Demand
• Free Video

Broad Institute

PROTPARDELLE: An All-Atom Protein Generative Model - Broad Institute Machine Learning in Drug Discovery Symposium 2023

Explore PROTPARDELLE, an all-atom protein generative model, presented by Stanford's Possu Huang at the Broad Institute's Machine Learning in Drug Discovery Symposium.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Valence Labs

Discrete Flow Matching for High-Dimensional Discrete Data Generation

Explore Discrete Flow Matching for generating high-dimensional discrete data. Learn about probability paths, sampling techniques, and improved generative perplexity in AI applications.

• YouTube
• 1 hour 34 minutes
• On-Demand
• Free Video