NCP-AAI
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NVIDIA
NCP-AAI Exam
Agentic AI
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| Topic | Details |
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| Topic 1 | - Agent Development: Focuses on the practical building, integration, and enhancement of agents using tools, frameworks, and APIs.
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| Topic 2 | - Evaluation and Tuning: Addresses methods for measuring agent performance, running benchmarks, and optimizing agent behavior.
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| Topic 3 | - Cognition, Planning, and Memory: Explores the reasoning strategies, decision-making processes, and memory management techniques that drive intelligent agent behavior.
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| Topic 4 | - Knowledge Integration and Data Handling: Covers how agents integrate external knowledge sources and manage diverse data types to support informed decision-making.
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| Topic 5 | - Safety, Ethics, and Compliance: Covers the principles and practices needed to ensure agents operate responsibly, ethically, and within legal and regulatory requirements.
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| Topic 6 | - Agent Architecture and Design: Covers how agentic AI systems are structured, including how agents reason, communicate, and interact within single-agent and multi-agent environments.
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| Topic 7 | - Deployment and Scaling: Covers operationalizing agentic systems for production use, including containerization, orchestration, and scaling strategies.
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