NVIDIA Agentic AI (NCP-AAI) Exam Questions 2026

The NVIDIA-Certified Professional: Agentic AI (NCP-AAI) exam questions is a professional-level credential designed for those who architect, build, and govern production-grade autonomous agent systems. It specifically validates your ability to use the NVIDIA stack (such as NeMo Agent Toolkit and NIM) to create agents capable of multi-step reasoning and tool interaction.

Exam Structure & Costs

The exam is heavily weighted toward design and development. The top four domains below represent over half of the total score.

• Agent Architecture and Design (15%): Patterns like ReAct and Reflexion, multi-agent orchestration, and communication models.

• Agent Development (15%): Knowledge of NeMo Agent Toolkit, writing Colang 2.0 guardrails, and tool integration.

• Evaluation and Tuning (13%): Benchmarking, A/B testing, and identifying common failure modes in agentic workflows.

• Deployment and Scaling (13%): Using NVIDIA NIM (microservices) for inference, containerization, and GPU optimization.

• Cognition, Planning, and Memory (10%): Chain-of-Thought reasoning and long-term/short-term memory management.

• Knowledge Integration (10%): Building RAG (Retrieval-Augmented Generation) pipelines on the NVIDIA stack.

• NVIDIA Platform Implementation (7%): Familiarity with NVIDIA Blueprints (like AI-Q) and TensorRT-LLM.

• Safety, Ethics, and Human Interaction (15%): Safety guardrails, bias mitigation, and human-in-the-loop (HITL) oversight.

Recommended Preparation

NVIDIA suggests 1–2 years of experience in AI/ML roles. To prepare effectively, focus on these official (and often free) self-paced courses:

1. Building Agentic AI Applications with LLMs

2. Building RAG Agents with LLMs

3. Deploying RAG Pipelines for Production at Scale

4. Evaluating RAG and Semantic Search Systems

Note: This is not a generic AI exam. You will be expected to know NVIDIA-specific tools. For example, you should understand how to configure NeMo Guardrails and how to utilize NVIDIA NIM for production inference.