NCP-AAI Practice Test and Study Guide
NVIDIA NCP-AAI Exam Specifications
- Exam Code:
- NCP-AAI
- Exam Name:
- NVIDIA-Certified Professional: Agentic AI (NCP-AAI)
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Skills Covered in NVIDIA-Certified Professional: Agentic AI (NCP-AAI) (NCP-AAI)
For the NVIDIA-Certified Professional: Agentic AI exam, candidates learn to design agent architectures, coordinate planning and decision loops, and enable tool discovery, API integration, and environment interaction. They apply these concepts by shaping prompt strategies, managing short- and long-term memory and context, and implementing monitoring, auditing, safety, governance with ethical and compliance considerations, and practical human-in-the-loop controls.
Essential Skills
- Explore core architectures for agentic systems and their components
- Understand planning, reasoning, and decision-making loops in autonomous agents
- Master tool discovery, API integration, and environment interaction
- Apply prompt engineering strategies to guide agent behavior
- Manage memory, contexts, and short-term vs long-term knowledge for agents
- Evaluate safety, alignment, and risk management in autonomous actions
- Analyze learning and adaptation mechanisms under changing tasks and data
- Implement monitoring, logging, and auditing of agent activity and outcomes
- Design user-centric interfaces and human-in-the-loop controls for agent workflows
- Assess governance, compliance, and ethical considerations in agent deployment
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