Skip to content
InfratoApp

NVIDIA · Course

Introduction to Deploying RAG Pipelines for Production at Scale (self-paced)

Introduction to Deploying RAG Pipelines for Production at Scale is a self-paced NVIDIA course on taking retrieval-augmented generation from proof of concept to enterprise deployment, using Kubernetes, Helm and NVIDIA NIMs.

Open at NVIDIA ↗Common questions

Who it suits

  • Engineers who have a working RAG demo and need to run it at scale.
  • Platform teams who deploy on Kubernetes and want a recommended pattern for NIM-based pipelines.

What it covers

  • Launching RAG pipeline applications onto a Kubernetes cluster with Helm and the NVIDIA NIM Operator.
  • Using NVIDIA NIMs for scalable, containerised LLMs and embedding models.
  • Connecting, updating, adding and autoscaling application components.
  • Monitoring application performance with Prometheus and Grafana.

Common questions about Introduction to Deploying RAG Pipelines for Production at Scale (self-paced)

Which technologies does it cover?
NVIDIA lists NVIDIA NIMs, Kubernetes, Helm, Grafana and Prometheus.
Does it cost anything?
NVIDIA sells the self-paced course with Buy Now and Redeem Code options, and says online purchase is supported in select locations. Its page states the price, which changes, so check it.
Is it about building a RAG demo?
No. NVIDIA says it addresses the gap between proof-of-concept RAG applications and production-level deployment.

More like this

Keep learning on Infrato

Where this comes from

Written from NVIDIA’s own pages, read on 2026-10-13. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with NVIDIA and this is not an endorsement.