Generative Models Courses and Certifications

Probability Puzzles in R

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Advanced Probability: Uncertainty in Data

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

Discover Bayesian statistics with R: represent your beliefs with the language of probability, collect some data and update your beliefs based on the evidence contained in the data.

• DataCamp
• Self-Paced
• Free Trial Available

This course complements the Coursera Basic Statistics course and is roughly based on the syllabus used by at the University of Amsterdam.

• DataCamp
• Self-Paced
• Free Trial Available

This interactive DataCamp course complements the Coursera course Introduction to Probability and Data by Mine Çetinkaya-Rundel.

• DataCamp
• Self-Paced
• Free Trial Available

Generative Memory Lab

Spontaneous Symmetry Breaking in Generative Diffusion Models

Explore symmetry breaking in generative diffusion models, uncovering insights into their behavior and potential applications in AI and machine learning.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Data Science Courses

Denoising Diffusion Probabilistic Models and Generative Moment Matching Networks - Lecture 17

Delve into diffusion models and DDPMs, exploring progressive data refinement techniques and generative moment matching networks using Maximum Mean Discrepancy for distribution analysis.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

HuggingFace

Stable Diffusion and Friends - High-Resolution Image Synthesis via Two-Stage Generative Models

Explore the evolution of generative image models with Stable Diffusion co-creator Robin Rombach, covering GANs, Transformers, and latent Diffusion models for high-resolution image synthesis and creative applications.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Andreas Geiger

Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis

Explores unsupervised learning for 3D-controllable image synthesis, disentangling latent factors like viewpoint and object pose from raw images to create novel, consistent scenes.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

MITCBMM

Bayesian Inference in Generative Models

Explore approximate Bayesian inference methods, including sampling-based techniques and variational inference, with hands-on exercises in implementing algorithms and using probabilistic programming languages.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

Bolei Zhou

Interpreting Deep Generative Models for Interactive AI Content Creation

Explore deep generative models for AI content creation, covering image generation, latent space manipulation, and interactive techniques. Learn about challenges and applications in this cutting-edge field.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Simons Institute

Generative Models

Explore generative models in deep learning, covering theoretical perspectives, hacker models, information flow, and provable algorithms for learning classifiers and phylogenetic reconstruction.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Runway

BigGAN and Other Generative Models

Explore BigGAN and BigBiGAN generative models, their functionality in RunwayML, and learn about image reconstruction techniques in this informative video on advanced AI-powered image generation.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Generative AI: Foundation Models and Platforms

340 ratings at Coursera

Explore core concepts, models, and platforms of generative AI. Gain hands-on experience with IBM watsonx and other tools to generate text, images, and code using foundation models.

• Coursera
• 6 hours 56 minutes
• Self-Paced
• Paid Course

Probability and Statistics: To p or not to p?

1502 ratings at Coursera

Explore tools for informed decision-making in an uncertain world. Learn probability, statistics, estimation, hypothesis testing, and multivariate applications to enhance lifelong decision-making skills.

• Coursera
• 16 hours 25 minutes
• Self-Paced
• Paid Course