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Last build · 2026-05-30

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NVIDIA AI Development

From CUDA basics to deploying with TensorRT-LLM, NeMo, and NVIDIA NIM microservices.

12 hours6 modules
1

CUDA fundamentals

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Understand GPU threads, memory hierarchy, and CUDA kernels.

2

TensorRT-LLM

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Optimise LLM inference with TensorRT-LLM for production throughput.

3

NeMo framework

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Fine-tune and customise foundation models with the NeMo toolkit.

4

Triton server

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Serve models at scale with NVIDIA Triton Inference Server.

5

NIM deployment

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Deploy optimised AI microservices with NVIDIA NIM containers.

6

DGX Cloud

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Provision and manage cloud-based DGX infrastructure for large-scale training.

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