Agentic AI Exam Study Guide
A cert overview plus deep dives on the heaviest NVIDIA NCP-AAI exam domains — everything tested on the agentic AI certification. Code examples, exam traps, and tips throughout.
Test your Agentic AI knowledge →Free · No sign-upNVIDIA NCP-AAI Exam Guide — Domains, Weights & What's on It
The NVIDIA Certified Professional: Agentic AI (NCP-AAI) is a proctored $200 exam. Here's every domain, its official weight, the exam format, and exactly how to prepare.
AI Agent Architecture & Design — NCP-AAI Domain Guide (15%)
Agent Architecture & Design is the joint-largest NCP-AAI domain at 15%. Here's how agentic systems are structured — single-agent loops, multi-agent topologies, and the design trade-offs the exam expects you to reason about.
AI Agent Development — Tool Use & Building Agents (NCP-AAI 15%)
Agent Development is the other 15% domain — the hands-on craft of building agents. Here's what the NCP-AAI exam expects on tool use, prompting, structured output, and robust agent loops.
Evaluating AI Agents — Metrics & Tuning (NCP-AAI Domain, 13%)
Evaluation & Tuning is 13% of the NCP-AAI exam — and the domain that separates a demo from a production agent. Here's how agents are measured and improved.
Deploying & Scaling AI Agents — NCP-AAI Domain Guide (13%)
Deployment & Scaling is 13% of the NCP-AAI exam — taking an agent from a notebook to reliable production traffic. Here's what the exam expects on serving, cost, latency, and scale.
AI Agent Planning & Memory — NCP-AAI Domain Guide (10%)
Cognition, Planning & Memory is 10% of the NCP-AAI exam — how an agent reasons about a goal, breaks it into steps, and remembers across them. Here's what the exam expects.
AI Agent RAG & Data Handling — NCP-AAI Domain Guide (10%)
Knowledge Integration & Data Handling is 10% of the NCP-AAI exam — how agents pull in external knowledge and ground answers in real data. Here's the RAG and data craft the exam expects.
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