Learning Modules
Explore our comprehensive curriculum covering all aspects of World Models and World Engine. Each module contains interactive lessons, quizzes, and hands-on exercises.
Foundations of World Models
Understanding the core concepts of world models, their history, and fundamental principles that enable AI to simulate and understand physical environments.
60 min
Lessons
Data Processing & Curation
Learn how to collect, filter, annotate, and prepare large-scale multimodal data for training world models.
60 min
Lessons
Model Architectures
Explore transformer architectures, diffusion models, VAEs, and other neural network designs used in world modeling.
60 min
Lessons
Tokenization & Representation
Understand visual tokenizers, latent space representations, and how to convert high-dimensional data into efficient tokens.
60 min
Lessons
Training Methods
Master pre-training, post-training, and reinforcement learning techniques for developing powerful world models.
60 min
Lessons
Simulation Environments
Explore Isaac Sim, MuJoCo, Unity, Unreal Engine, and other platforms for building and testing world models.
60 min
Lessons
Applications & Use Cases
Discover real-world applications in robotics, autonomous vehicles, video generation, gaming, and digital twins.
60 min
Lessons