L4 — ADVANCED~10 hours16 MODULES
VLA Systems Deep Dive
Vision-Language-Action models from first principles. Architecture, training data, evaluation, and deployment challenges.
PREREQUISITES:Deep learning, PyTorch
OpenVLAπ0Diffusion PolicyTransformers
CURATED BY
EAR Research Division
Based on papers from Physical Intelligence, Google, Stanford IRIS Lab, Berkeley
SALARY RANGE
$165K – $320K
For roles this path leads to
CAREER OUTCOMES
VLA Researcher
Embodied AI Lead
Robot Learning Engineer
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WHAT YOU WILL LEARN
01The full VLA architecture: vision encoder + language model + action head
02Tokenization of robot actions: discretization vs continuous
03OpenVLA: the 7B parameter open-source VLA and how it was trained
04π0 (Physical Intelligence): the diffusion-based policy architecture
05RT-2: how Google combined robotics and web-scale language data
06Action chunking and temporal abstraction
07Cross-embodiment transfer: can one model control different robots?
08Training data pipelines: HDF5, RLDS, LeRobot format
09Evaluation: LIBERO, SimplerEnv, real-world benchmarks
10Deployment: TensorRT, ONNX, quantization for edge inference
WHO IS THIS FOR
ML researchers, embodied AI engineers, and advanced practitioners who want to understand VLA systems from first principles and contribute to the frontier.
MODULES16 TOTAL · ~10 hours
#TITLETYPEDURATIONACCESS
01
VLA from first principlesFREE
READING45 min02
Vision encoders for roboticsFREE
READING40 min03
Language models as robot brains
READING50 min04
Action representation
READING45 min05
Diffusion policy in depth
READING55 min06
OpenVLA: the architecture
READING50 min07
π0: flow matching and heterogeneous data
READING55 min08
Training data pipelines
EXERCISE45 min09
Cross-embodiment and generalization
READING40 min10
Simulation for VLA training
READING45 min11
Evaluation: LIBERO and SimplerEnv
EXERCISE40 min12
Fine-tuning a VLA on custom data
EXERCISE60 min13
Action chunking and temporal abstraction
READING35 min14
Deployment and edge inference
EXERCISE45 min15
The open problems
READING40 min16
Contributing to the field
READING30 minRELATED COMPANIES
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