Generative Modeling Courses and Certifications

AI for Finance: Financial Modeling with Generative AI

510 ratings at Udemy

Learn how to use AI for finance, build financial models using generative AI and predictive modeling for risk assessment.

• Udemy
• 4 hours 23 minutes
• On-Demand
• Paid Course

Curtis Holt

Playing with Generative Modeling in Blender

Explore generative modeling techniques in Blender through hands-on experimentation with BY-GEN V10 tools and creative workflows.

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

Generative AI Language Modeling with Transformers

140 ratings at Coursera

Learn to apply transformer-based models for NLP tasks, covering encoder-decoder architectures, attention mechanisms, and implementations of BERT and GPT models using PyTorch for text classification and translation.

• Coursera
• 9 hours 18 minutes
• On-Demand
• Paid Course

Valence Labs

MFBind - A Multi-Fidelity Approach for Evaluating Drugs in Generative Modeling

Explore MFBind, a multi-fidelity approach integrating docking and binding free energy simulations for improved drug discovery generative modeling. Learn its advantages over current methods.

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

USC Information Sciences Institute

On Robustness and Generative Modeling

Explore adversarial training's impact on AI robustness and generative modeling. Gain insights into energy dynamics, robust overfitting, and the connection between robust classifiers and generative capabilities.

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

VinAI

Learning with Limited Supervision - Generative Modeling Approaches

Explore generative modeling approaches for learning with limited labeled data. Discover techniques leveraging prior knowledge for weak supervision in machine learning tasks.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

Uncertainty in Artificial Intelligence

Deep Learning Advances in Uncertainty and Generative Modeling - Session 1

Explore cutting-edge deep learning research, including Bayesian methods, generative modeling, visual concept programming, conformal regression, and heteroskedastic regression analysis.

• YouTube
• 2 hours 3 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Probabilistic Operator Learning - Generative Modeling and Uncertainty Quantification

Discover probabilistic operator learning through ICON networks for Bayesian inference in differential equations, enabling uncertainty quantification and generative modeling.

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

Fields Institute

Non-Euclidean Generative Modeling

Explore advanced generative modeling techniques beyond Euclidean spaces with Georgia Tech's Molei Tao, delving into innovative approaches for complex data structures.

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

Fields Institute

A Dynamical Systems Perspective on Measure Transport and Generative Modeling

Explore measure transport and generative modeling through a dynamical systems lens, gaining insights into advanced machine learning concepts and their applications.

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

Alexander Amini;  MIT

Deep Generative Modeling

1 review

Explore deep generative modeling, including autoencoders, variational autoencoders, and GANs. Learn about latent variable models, reparameterization tricks, and recent advances in generative AI techniques.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Alexander Amini;  MIT

Deep Generative Modeling

Explore deep generative modeling, including autoencoders, variational autoencoders, and GANs. Learn about latent variable models, reparameterization tricks, and recent advances in generative AI.

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

Probabilistic Deep Learning with TensorFlow 2

109 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
• Paid Course

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

Alexander Amini;  MIT

Deep Generative Modeling

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

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