Fundamentals of Accelerated Computing with Modern CUDA C++
Learn how to write, compile, and run GPU-accelerated code, leverage CUDA core libraries to harness the power of massive parallelism provided by modern GPU accelerators, optimize memory migration between CPU and GPU, and implement your own algorithms.
RAGLLMGPU ComputingMLOps
Provider
NVIDIA DLI
Duration
8 hrs
Mode
live
Pricing
Price not stated
Catalog checked Mar 16, 2026. Enrollment happens on the provider website; progress tracking happens here.
What you will cover
Accelerated Computing, RAG, LLM systems, GPU computing, AI deployment
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