Generative Modeling Courses and Certifications

Institute for Advanced Study

Generative Modeling by Estimating Gradients of the Data Distribution - Stefano Ermon

Explore generative modeling through gradient estimation of data distributions, covering deep energy-based models, score matching, and innovative sampling techniques for improved AI generation.

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

Valence Labs

An Optimal Control Perspective on Diffusion-Based Generative Modeling

Explore optimal control theory's connection to diffusion-based generative modeling. Gain insights into stochastic differential equations, Hamilton-Jacobi-Bellman equations, and novel sampling methods for unnormalized densities.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Alan Turing Institute

From Denoising Diffusion Models to Transport for Generative Modeling and Inference

Explore advanced generative modeling techniques, from denoising diffusion models to transport-based approaches, focusing on diffusion Schrödinger bridge and its numerical approximation for improved inference.

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

Valence Labs

Action-Minimization Meets Generative Modeling - Efficient Transition Path Sampling

Explore how pre-trained generative models enable zero-shot transition path sampling in molecular systems using the Onsager-Machlup action functional for drug discovery.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Harvard CMSA

Generative Modeling via Parabolic Monge-Ampère PDEs

Explore advanced generative modeling using parabolic Monge-Ampère PDEs, connecting optimal transport theory with modern AI techniques for non-log-concave distributions.

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

Institute for Pure & Applied Mathematics (IPAM)

Toward Physical Generative Modeling

Explore advanced techniques for sampling physical measures in chaotic dynamical systems using neural networks, generative modeling, and score-based methods for scientific applications.

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

Introduction to Deep Learning

23 reviews

Deep Learning is subset of machine learning focused on extracting patterns from data using neural networks and use those patterns to inform the learning tasks.

• YouTube
• 2 days 7 hours 16 minutes
• On-Demand
• Free Video

AI Workshop: Hands-on with GANs Using Dense Neural Networks

10 ratings at LinkedIn Learning

Learn how to build and train generative adversarial networks (GANs) using dense neural networks in this interactive, workshop-style coding course.

• LinkedIn Learning
• 1 hour 25 minutes
• On-Demand
• Free Trial Available

Deep Generative Models - Lecture 10: GANs

Explore Generative Adversarial Networks (GANs) in deep learning, covering their architecture, training process, and applications in image generation and beyond.

• YouTube
• 1 hour 28 minutes
• On-Demand
• Free Video

MITCBMM

Generative Model-Based Text-to-Speech Synthesis

Explore cutting-edge generative modeling techniques for text-to-speech synthesis, covering recent advancements, probabilistic approaches, neural network models, and future directions in speech technology.

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

Simons Institute

Illuminating Protein Space with Generative Models

Explore generative modeling for protein design, focusing on building learning systems that can generalize, scale, and create fit-for-purpose protein complexes on demand.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Harvard CMSA

Learning Dynamical Transport without Data

Explore dynamical transport algorithms for generative modeling without data, focusing on sampling from target distributions using unnormalized log-likelihood functions, with applications in physics, chemistry, and Bayesian inference.

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

Curtis Holt

Generative Modeling Is Awesome - Blender Experiments

Explore generative modeling in Blender with step-by-step guidance on creating unique 3D art using modifiers, geometry nodes, and remeshing techniques for stunning visual results.

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

Curtis Holt

Generative Modeling Crash Course for Blender - Geometry Nodes

Explore advanced geometry nodes techniques for generative modeling in Blender, covering displacement, mapping, texturing, and mesh manipulation for creating complex 3D designs efficiently.

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

Alexander Amini;  MIT

Deep Generative Modeling

Explore deep generative modeling, including autoencoders, VAEs, and GANs. Learn about latent variables, representation learning, and applications in debiasing and image synthesis.

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