NVIDIA-Certified Professional
Agentic AI
(NCP-AAI)
About This Certification
The Agentic AI LLMs professional certification is an intermediate-level credential that validates a candidate’s ability to architect, develop, deploy, and govern advanced agentic AI solutions, with a focus on multi-agent interaction, distributed reasoning, scalability, and ethical safeguards. The exam is online and proctored remotely, includes 60–70 questions, and has a 120-minute time limit.
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Exam Preparation
Certification Learning Path
Here’s the recommended training to prepare for this certification exam.
Exam Blueprint
The table below provides an overview of the topic areas covered in the certification exam and how much of the exam is focused on that subject.
| Topic Areas | % of Exam | Topics Covered |
|---|---|---|
| Agent Architecture and Design | 15% | Foundational structuring and design of agentic AI systems, focusing on how agents interact, reason, and communicate within their environments |
| Agent Development | 15% | Practical building, integration, and enhancement of agents |
| Evaluation and Tuning | 13% | Measuring, comparing, and optimizing agent performance |
| Deployment and Scaling | 13% | Operationalizing and scaling agentic systems |
| Cognition, Planning, and Memory | 10% | Core cognitive processes underlying intelligent agent behavior, including reasoning strategies, decision-making, and memory management |
| Knowledge Integration and Data Handling | 10% | Integration of external knowledge and the management of diverse data types |
| NVIDIA Platform Implementation | 7% | Leveraging NVIDIA’s AI hardware and software platforms for agentic AI systems |
| Run, Monitor, and Maintain | 5% | Ongoing operation, monitoring, and maintenance of agentic systems post-deployment |
| Safety, Ethics, and Compliance | 5% | Principles and practices that ensure agentic AI systems operate responsibly, uphold ethical standards, and comply with legal and regulatory frameworks |
| Human-AI Interaction and Oversight | 5% | The design and implementation of systems that facilitate effective human oversight and interaction with agents |
Exam Study Guide
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