Generative Modeling Courses and Certifications

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

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

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

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

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

Introduction to Deep Learning

12 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

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

Deep Generative Models - Lecture 8: GANs

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

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

MIT EI Seminar - Phillip Isola - Emergent Intelligence- Getting More Out of Agents Than You Bake In

Explore emergent intelligence in AI through unsupervised learning, generative modeling, and self-assembling agents. Discover surprising outcomes beyond explicit programming in representation, video generation, and creature development.

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

Probabilistic Deep Learning with TensorFlow 2

103 ratings at Coursera

Explore probabilistic deep learning with TensorFlow Probability, covering distributions, Bayesian neural networks, normalizing flows, and variational autoencoders. Gain hands-on experience through coding tutorials and a capstone project.

• Coursera
• 2 days 4 hours 34 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Spatial Computational Thinking

Learn to manipulate spatial data through procedural, generative, and performative modeling techniques using Möbius Modeller. Develop skills in 3D model generation, analysis, and visualization.

• edX
• 5 weeks, 1-2 hours a week
• On-Demand
• $447.00
• 3 courses

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

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

Simons Institute

The AI Trinity - Data + Algorithms + Infrastructure

Explore the AI trinity: data, algorithms, and infrastructure. Learn about named entity recognition, active learning, crowdsourcing, data augmentation, and neural rendering models.

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

Andreas Geiger

Learning 3D Reconstruction in Function Space

Explore neural implicit models for 3D reconstruction, covering occupancy networks, texture fields, and differentiable rendering. Gain insights into cutting-edge techniques and recent advancements in the field.

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