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NCP AAI — NVIDIA Certified Professional: Agentic AI

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Run, Monitor, and Maintain

Run, Monitor, and Maintain

May 27, 20261 min read

Run, Monitor, and Maintain

NCP-AAI topic area — exam weight: 5%

Ongoing operation, monitoring, and maintenance of agentic systems post-deployment.

Ingested Material

  • AI Agent Evaluation — Summary
  • Log, Trace, and Monitor Portkey Integrations
  • Time-Weighted Retrieval Integration
  • Observability Concepts (LangSmith)
  • Structured Output (LangChain Agents)
  • How to Handle Model Rate Limits
  • A Guide to Monitoring Machine Learning Models in Production (cross-section)
  • Monitoring ML Models: Data Quality and Integrity (cross-section)

8 items under this folder.

  • May 27, 2026

    A Guide to Monitoring Machine Learning Models in Production (cross-section)

    • observability
    • llmops
    • deployment-scaling
    • responsible-ai
  • May 27, 2026

    AI Agent Evaluation — Summary

    • agent-evaluation
    • llm-as-a-judge
    • agentic-ai
    • tool-calling
    • observability
    • llmops
    • responsible-ai
  • May 27, 2026

    How to Handle Model Rate Limits

    • llmops
    • langchain
    • agent-evaluation
    • deployment-scaling
  • May 27, 2026

    Log, Trace, and Monitor Portkey Integrations

    • observability
    • llmops
    • langchain
    • agentic-ai
    • tool-calling
  • May 27, 2026

    Monitoring ML Models: Data Quality and Integrity (cross-section)

    • observability
    • llmops
    • responsible-ai
    • open-source
  • May 27, 2026

    Observability Concepts (LangSmith)

    • observability
    • llmops
    • langchain
    • agentic-ai
  • May 27, 2026

    Structured Output (LangChain Agents)

    • structured-output
    • tool-calling
    • langchain
    • pydantic
    • agentic-ai
  • May 27, 2026

    Time-Weighted Retrieval Integration

    • rag
    • vector-search
    • embedding
    • langchain
    • memory-augmentation

Created with Quartz v4.5.2 © 2026

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