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Building Agentic AI Applications with LLMs (self-paced)

Building Agentic AI Applications with LLMs is a self-paced NVIDIA course on designing agents that retrieve and refine information, route queries and run tasks concurrently, using frameworks such as LangGraph and NVIDIA NIM.

Open at NVIDIA ↗Common questions

Who it suits

  • Developers who want a foundation in agent architectures to add agent-like integrations to existing software.
  • Teams moving beyond chat to agents that use tools, research and act at scale.

What it covers

  • The strengths and limits of LLMs, and why agent paradigms help.
  • Structured outputs for machine-parseable function calls and API integrations.
  • Retrieval mechanisms and knowledge graphs for domain knowledge.
  • Multi-agent orchestration with frameworks such as LangGraph, plus concurrency, data flywheels, real-time constraints and scaling.
  • A final assessment working with a scalable multi-tenant agent API.

Common questions about Building Agentic AI Applications with LLMs (self-paced)

Which frameworks does it use?
NVIDIA names LangGraph and NVIDIA NIM.
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 there an instructor-led version?
NVIDIA also offers an instructor-led version, listed separately.

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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.