NVIDIA Certified Professional - Agentic AI

Exam format

NVIDIA logo

NVIDIA Certified Professional - Agentic AI Exam Format

NCP-AAI

Everything the official exam blueprint specifies: question count, time limit, scoring and the weight each domain carries. The NVIDIA Certified Professional - Agentic AI certification validates advanced skills for engineers and technical professionals who build intelligent agents using NVIDIA technology. The exam covers the full agent lifecycle from architecture and development to evaluation, deployment, monitoring, and governance. Candidates demonstrate applied knowledge in orchestration, cognition, memory, RAG, safety, and human oversight. The credential is intended for AI engineers, solution architects, and technical leads who implement production-ready agent systems with NVIDIA NIM, NeMo, and accelerated infrastructure.

60 questions
120 min
70% to pass
10 domains

Exam facts at a glance

What we know about this exam, and where the information comes from.

SpecificationValue
Questions60
Time limit120 minutes (120s per question)
Passing score70%
Domains10
LevelProfessional
Question bank here60 questions
SourceCertilum's own record — the vendor does not publish this figure

Official domain weights

The percentage of the exam each domain carries. Weight your revision by these numbers, not by what you find hardest.

DomainWeightTopicsPractice Qs
Agent Development15%
  • Python agent frameworks
  • Function and tool calling
  • Prompt engineering for agent reasoning
  • +3 more
9
Evaluation and Tuning13%
  • Agentic evaluation benchmarks
  • LLM output quality assessment
  • Iterative prompt tuning and fine-tuning strategies
  • +2 more
8
Deployment and Scaling13%
  • Containerized agent services
  • Model serving with Triton Inference Server
  • Scaling APIs and inference workloads
  • +2 more
8
Run, Monitor, and Maintain5%
  • Observability and tracing
  • Logging agent decisions
  • Performance monitoring
  • +2 more
3
Agent Architecture and Design15%
  • Agent orchestration patterns
  • Multi-agent communication topologies
  • Reactive versus deliberative architectures
  • +2 more
9
NVIDIA Platform Implementation7%
  • NVIDIA NIM and microservices
  • NeMo Guardrails and NeMo Evaluator
  • TensorRT-LLM optimization
  • +2 more
4
Safety, Ethics, and Compliance5%
  • Responsible AI principles
  • Bias detection and fairness
  • Privacy and data governance
  • +2 more
3
Cognition, Planning, and Memory10%
  • Planning algorithms
  • Reasoning frameworks
  • Short-term and long-term memory
  • +2 more
6
Human-AI Interaction and Oversight7%
  • Human-in-the-loop workflows
  • Explainability and transparency
  • User intent interpretation
  • +2 more
4
Knowledge Integration and Data Handling10%
  • Retrieval-Augmented Generation (RAG)
  • Vector databases and embeddings
  • Knowledge graph integration
  • +2 more
6

The heaviest domain is Agent Development at 15%, and that is where lost points cost you the most. Certilum scores you per domain so you can see the difference between a knowledge gap and a formatting problem.

Note from the vendor record: Official price per exam on NVIDIA (online proctored, Certiverse). Subject to local taxes; 14-day waiting period between attempts; maximum 5 attempts per year; valid for 2 years. 2 hours. Official exam page

More about the NVIDIA Certified Professional - Agentic AI exam

Explore the rest of this page series: format, cost, difficulty, requirements and how to prepare.

Related certifications

Explore other certifications in the same category and see how they stack up.

Frequently asked questions

Everything you need to know about the NVIDIA Certified Professional - Agentic AI exam.