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Track Map

3 tracks, 18 modules. Explore the complete VLA Mastery content.

T1 6 modules

Fundamentals of Embodied AI
T2 6 modules

Tools and Technical Application
T3 6 modules

Advanced and Strategic
Track 1

Fundamentals of Embodied AI

The theoretical foundations of VLA models. From an overview of the field to the mechanisms for action tokenization.

M1.1

The Big Picture: From LLMs to Robots That Act
M1.2

VLA Anatomy: Vision + Language + Action
M1.3

Model Evolution: RT-1, RT-2, OpenVLA, pi0, Qwen-VLA
M1.4

Learning by Imitation and Behavior Cloning
M1.5

Diffusion Policy and Flow Matching
M1.6

Action Tokenization: Discrete vs. Continuous vs. FAST
Track 2

Tools and Technical Application

The technical stack for building, training, and deploying VLA models. From frameworks to hardware.

M2.1

Python + PyTorch: The Dominant Stack for VLA
M2.2

LeRobot: Hugging Face’s End-to-End Framework
M2.3

Simulators: MuJoCo, Isaac Sim, Habitat
M2.4

ROS2: Middleware for Real Robotics
M2.5

Hardware: Arms, Sensors, Edge Computing
M2.6

Datasets: Open X-Embodiment, DROID, LIBERO
Track 3

Advanced and Strategic

Research frontier, industrial applications, humanoids, and strategic market outlook through 2030.

M3.1

Sim-to-Real: Domain Randomization and Transfer
M3.2

Humanoids: Figure, Tesla, Unitree, GR00T
M3.3

Hybrid Architectures: LLM Planner + VLA Executor
M3.4

Applications: Manufacturing, Logistics, Healthcare, Agriculture
M3.5

Market and Opportunities: $111B by 2030
M3.6

Frontier 2026-2030: Scaling Laws, World Models, Certification