NVIDIAProfessionalNCP-AAI
NVIDIA-Certified Professional: Agentic AI
Shows you can design, build, deploy and govern advanced agent systems, including multi-agent teamwork, scaling and safeguards.
- Issuer
- NVIDIA
- Level
- Professional
- Exam code
- NCP-AAI
- Exam format
- 60–70 questions · 120 minutes
- Valid for
- 2 years
- Focus
- AI agents
- Who it is for
- Engineers, architects and data scientists with hands-on production experience of agents.
- Before you start
- NVIDIA suggests 1–2 years in AI/ML roles with hands-on, production-level agentic AI work.
What the exam covers
Listed as the issuer lists them, with weights where the issuer publishes them.
- Agent architecture and design (15%)
- Agent development (15%)
- Evaluation and tuning (13%)
- Deployment and scaling (13%)
- Cognition, planning and memory (10%)
- Knowledge integration and data handling (10%)
- NVIDIA platform implementation (7%)
- Run, monitor and maintain (5%)
- Safety, ethics and compliance (5%)
- Human-AI interaction and oversight (5%)
Key terms to know
Words from this certification's topic areas, in plain English. Know these and the study material will be much easier to follow.
- AI agent
- Software that uses a model to plan steps and use tools to reach a goal.
- Multi-agent system
- Several agents working together, each with its own role.
- Orchestration
- Coordinating the steps and agents in a workflow.
- Tool calling
- A model asking your code to run a function, such as a search or a database lookup.
- Retrieval-augmented generation (RAG)
- Looking up relevant documents first, then giving them to the model to answer from.
- Evaluation (evals)
- Tests that measure how good a model or an AI app is.
- Observability
- Being able to see what your AI app did, step by step, through logs and traces.
- Guardrails
- Rules and filters that block unsafe inputs or outputs.
- Human in the loop
- A person reviews or approves what the AI does before it takes effect.
- Latency
- How long a response takes to arrive.
- Responsible AI
- Building and using AI fairly, safely, transparently and with accountability.
Build the knowledge here
Our lessons are not exam prep for this certification, but they cover the same ground.
Details last checked Oct 7, 2026 against the issuer's own pages. Exams, versions and rules change. Confirm on the official page before you book. We are not affiliated with NVIDIA.