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Developing Secure AI Agents with LLMs (instructor-led)

Developing Secure AI Agents with LLMs is an instructor-led NVIDIA workshop on designing agents that adapt to arbitrary environments at scale, using LangGraph and NVIDIA NIM. NVIDIA’s description covers building agents; it does not describe security topics, so check the page for the syllabus.

Open at NVIDIA ↗Common questions

Who it suits

  • Developers who want hands-on agent building with LangGraph and NVIDIA NIM.
  • Engineers who want a foundation in agent architectures to add to existing software.

What it covers

  • The strengths and limits of LLMs, and why agent-based approaches help.
  • Producing 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, up to a scalable multi-tenant agent API in the final assessment.

Common questions about Developing Secure AI Agents with LLMs (instructor-led)

Does it cover security?
The title says secure, but the description NVIDIA shows is about designing and scaling agents and does not list security topics. Check the page or ask NVIDIA before relying on it for that.
How is it taught?
As an instructor-led workshop; NVIDIA says to coordinate with the instructor on pacing and emphasis.
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.