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💬 Advanced Foundation Models

Language Action Models (LAM)

Bridge large language models and physical robot control with the latest foundation model architectures.

⏱ 3 Days 💰 $2,200 USD 🎓 Certificate Included ☁️ GPU Lab Included
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Course Overview

Language Action Models (LAM) represents the frontier of physical AI — systems that understand natural language instructions and translate them into physical robot actions. In this advanced course you will study the architecture of foundation models for robotics (including NVIDIA GR00T), implement instruction-following pipelines, and deploy inference workloads on Isaac Sim. You will work with the very techniques shipping in next-generation autonomous robots.

Key Highlights

✓ Understand transformer architectures adapted for robot control
✓ Study GR00T, RT-2, and OpenVLA foundation model designs
✓ Implement instruction-conditioned policy inference pipelines
✓ Fine-tune a pre-trained LAM on custom robot tasks
✓ Run low-latency inference using TensorRT and Isaac ROS
✓ Evaluate task success rates and failure mode analysis

Course Syllabus

Learning Outcomes

01

Understand the architecture of state-of-the-art robotic foundation models

02

Implement instruction-following inference pipelines

03

Fine-tune pre-trained LAMs on custom robot tasks

04

Optimise model inference for real-time robot control

05

Evaluate and iterate on language-conditioned robot policies

06

Deploy LAM workloads on NVIDIA Isaac infrastructure

Who Is This For?

👤 AI Researchers working on embodied intelligence
👤 Senior Robotics Engineers exploring foundation model integration
👤 Product Teams building next-generation autonomous systems
👤 ML Engineers with LLM experience moving into robotics

Prerequisites

  • ☑ Strong Python and PyTorch proficiency
  • ☑ Experience with transformer model architectures
  • ☑ Completion of Physical AI & Robot Learning (recommended)
  • ☑ Familiarity with Isaac Sim
Course Fee
$2,200
USD per participant
What's Included
  • ☁️ Dedicated GPU Cloud Lab (3 Days)
  • 📚 Full course materials & recordings
  • 📜 Certificate of Completion
  • 💬 Instructor Q&A support
  • 🔄 Lifetime access to course updates
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⏱ 3 Days intensive training