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NVIDIA · AI & Machine Learning · Professional

NVIDIA-Certified Professional: Agentic AI exam guide

Exam NCP-AAI

NCP-AAI validates the ability to design, build, evaluate and deploy agentic AI systems: agent architecture, planning and memory, tool and knowledge integration, multi-agent orchestration, and safe operation on NVIDIA platforms. Agentic systems are the fastest-growing AI build pattern in 2026, so this credential maps to current hiring demand.

Questions60-70
Time limit120 minutes
Passing scoreSee official page
Exam fee$200 USD
Valid for2 years
DeliveryOnline, remotely proctored (Certiverse account required)

Format: Multiple choice.

Who it's for

AI engineers with 1-2 years of ML experience who have shipped or are building production agent applications.

What the exam covers

Agent Architecture and Design15%
Agent Development15%
Evaluation and Tuning13%
Deployment and Scaling13%
Cognition, Planning, and Memory10%
Knowledge Integration and Data Handling10%
NVIDIA Platform Implementation7%
Run, Monitor, and Maintain5%
Safety, Ethics, and Compliance5%
Human-AI Interaction and Oversight5%

Eligibility & prerequisites

Required: None formally; NVIDIA expects 1-2 years of AI/ML experience and hands-on work on production agentic AI projects.

Recommended: Experience with agent frameworks, orchestration, multi-agent systems, tool and model integration, evaluation, observability, deployment and guardrails.

Keeping it active

Valid 2 years from issuance. Recertify by retaking the current version of the exam before it expires.

Skills & careers

Skills it validates

  • Agent architectures (ReAct, planner-executor, multi-agent)
  • Tool calling and function integration
  • Short- and long-term memory design
  • RAG and knowledge integration for agents
  • Agent evaluation and tuning
  • Deploying agents with NIM and NeMo Guardrails
  • Observability and human-in-the-loop controls

Job roles

AI Agent EngineerGenerative AI EngineerAI Solutions ArchitectLLM Application DeveloperML Platform Engineer

Where it fits in your path

Planning a degree too? See how this cert earns college credit in the College Credit Navigator.

Build my study plan

  1. Weeks 1-2: Agent fundamentals: reasoning loops, planning, memory types; take Building Agentic AI Applications With LLMs.
  2. Weeks 3-4: Build a tool-using agent and a multi-agent workflow with an open framework; add RAG via Building RAG Agents With LLMs.
  3. Week 5: Evaluation: task success metrics, trajectory evaluation, RAG evaluation; Evaluating RAG and Semantic Search Systems course.
  4. Week 6: Deployment and scaling with NIM, guardrails, monitoring, human oversight; review NVIDIA platform components.
  5. Week 7: Practice questions across all 10 domains; revise weak areas.

Make it yours: pick your exam date and weekly hours. We'll split your time by domain weight and give you a printable plan.

Exam-day tips

  • Architecture and Development together are 30%; be able to pick the right agent pattern for a scenario.
  • Expect questions on failure modes such as tool loops, hallucinated tool arguments and memory bloat, and how to mitigate them.
  • Know NVIDIA's agent stack names (NIM, NeMo Guardrails, NeMo Agent toolkit, AI Blueprints) and what each does.
  • Evaluation questions often hinge on choosing the right metric for multi-step tasks rather than single responses.

Key terms for this exam

All 35 terms Study with thinQcards™

Frequently asked questions

How much does the NCP-AAI exam cost?

$200 per attempt, booked through Certiverse.

How long is NCP-AAI valid?

Two years from issuance. You recertify by retaking the exam.

Is the exam online?

Yes. NVIDIA delivers its certification exams online with remote proctoring through Certiverse.

Is NCP-AAI framework specific?

It tests general agent design plus NVIDIA platform implementation (7% of the exam); it is not tied to one open-source framework.

How does NCP-AAI compare with other agentic AI certs?

It is more engineering- and deployment-focused than business-level AI certs, and it is one of the few that weights evaluation and scaling heavily.

Official page: www.nvidia.com. Reviewed November 2026. Vendors change fees and objectives, so confirm with the vendor before you book. Spot something out of date? Tell us.