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Master World Engine
The Future of Physical AI

Learn how World Models enable AI to understand and simulate physical environments. From NVIDIA Cosmos to OpenAI Sora, explore the cutting-edge of world simulation and generation.

Learning Modules

Comprehensive curriculum covering all aspects of World Models and World Foundation Models, from foundational concepts to real-world applications.

Foundations of World Models
Core concepts, history, and principles of world models
Data Processing & Curation
Collecting, filtering, and preparing training data
Model Architectures
Transformers, diffusion models, and neural networks
Tokenization & Representation
Visual tokenizers and latent space representations
Training Methods
Pre-training, post-training, and reinforcement learning
Simulation Environments
Isaac Sim, MuJoCo, Unity, and Unreal Engine
Applications & Use Cases
Robotics, autonomous vehicles, video generation

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Interactive Lessons

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