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Building RAG Agents with LLMs (instructor-led)

Building RAG Agents with LLMs is an instructor-led NVIDIA workshop on deploying and scaling retrieval-based LLM agent systems that use tools, read documents and plan their approach.

Open at NVIDIA ↗Common questions

Who it suits

  • Developers who want to deploy an agent system in practice and scale it to meet demand.
  • Teams working on dialogue management, tooling and retrieval.

What it covers

  • LLM inference interfaces and the use of microservices.
  • Designing LLM pipelines with tools such as LangChain, Gradio and LangServe.
  • Managing dialogue state, knowledge extraction and long-form documents.
  • Embeddings for semantic similarity and guardrailing.

Common questions about Building RAG Agents with LLMs (instructor-led)

Is there a self-paced version?
NVIDIA also lists a self-paced course of a similar name.
How is it taught?
As an instructor-led workshop; NVIDIA says to work with the instructor on timing for your session.
What does it cost?
NVIDIA lists instructor-led workshops as contact-us for pricing and dates, so check its page; they change.

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Where this comes from

Written from NVIDIA’s own pages, read on 2026-10-14. 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.