NVIDIA-Certified Professional: Agentic AI

The exam is intermediate-level and requires 1-2 years of hands-on experience with production agentic AI systems. It covers 10 domains including architecture, development, deployment, and governance. Candidates should have strong knowledge of agent frameworks, RAG pipelines, and NVIDIA's AI platform.

NVIDIA does not publicly disclose the exact passing score. The exam contains 60-70 questions and candidates have 120 minutes to complete it.

The NCP-AAI certification is valid for 2 years from the date of issuance. To maintain your certification, you must retake and pass the exam before it expires.

NVIDIA offers several recommended courses: 'Building RAG Agents With LLMs' ($90, 8 hours), 'Evaluating RAG and Semantic Search Systems' ($30, 3 hours), and instructor-led workshops on agentic AI applications, knowledge integration, and production deployment ($500 each, 8 hours).

No, there are no prerequisite certifications required. However, you should have 1-2 years of experience in AI/ML roles with hands-on involvement in production-level agentic AI projects.

You should have experience with NVIDIA's platform (NIM, NeMo Retriever, NeMo Guardrails), LangChain/LangGraph frameworks, RAG architectures, vector databases, Python programming, and prompt engineering techniques.

Yes, this is an official NVIDIA certification that validates cutting-edge skills in agentic AI development. Upon passing, you receive a digital badge and optional certificate. NVIDIA is a recognized leader in AI technology, making this credential valuable for career advancement.

Yes, the exam is delivered online and is remotely proctored via the Certiverse platform, allowing you to take it from anywhere with a stable internet connection.

The exam costs $200 USD. You'll need to create a Certiverse account to register for the exam.