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NVIDIA-Certified Professional: Agentic AI (NCP-AAI)

NVIDIA-Certified Professional: Agentic AI (NCP-AAI) is an intermediate-level, remotely proctored NVIDIA exam that validates your ability to architect, develop, deploy and govern agentic AI solutions, with a focus on multi-agent interaction and ethical safeguards.

Open at NVIDIA ↗Common questions

Who it suits

  • Engineers with one to two years in AI or ML roles and hands-on work on production agentic projects.
  • Solutions architects and AI specialists who want a credential for agent design and deployment.

What it covers

  • Agent design and cognition: architecture, reasoning and planning, memory and multi-agent workflows.
  • Knowledge integration and agent development: retrieval pipelines, prompt engineering and reliable multimodal agents.
  • NVIDIA platform implementation and deployment: optimising inference and managing production workflows.
  • Evaluation, monitoring and maintenance, and human, ethical and compliance considerations.

Before you start

  • NVIDIA expects 1 to 2 years of AI or ML experience and hands-on work with production-level agentic AI projects.
  • Strong knowledge of agent development, orchestration, multi-agent frameworks and tool integration.

Common questions about NVIDIA-Certified Professional: Agentic AI (NCP-AAI)

How is the exam run?
NVIDIA says it is online and proctored remotely, with 60 to 70 questions and a 120-minute limit; you need a Certiverse account to take it.
What do I get?
NVIDIA says a digital badge and an optional certificate, valid for two years.
How do I prepare?
NVIDIA lists a certification learning path of its self-paced courses, including Building RAG Agents With LLMs and Building Agentic AI Applications With LLMs. Its page states the fees, which 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.