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Operations and Incidents

Operations and incident handling for LLM systems: this module addresses monitoring token cost spikes and latency, fallback routing for provider outages, safety-incident triage, and postmortems aimed at continuous reliability improvements for AI services in production.

LLMOps and AI Observability Engineer

Course overview

Operations and incident handling for LLM systems: this module addresses monitoring token cost spikes and latency, fallback routing for provider outages, safety-incident triage, and postmortems aimed at continuous reliability improvements for AI services in production.

Detecting and responding to token cost spikes and latency incidents; techniques to identify root causes and mitigate impact.

Designing provider fallback and routing strategies with clear criteria for failover and traffic redistribution.

Triage workflow for safety incidents (e.g., harmful outputs, hallucinations) and guidance on incident prioritization.

Postmortem practice and continuous improvement loops to capture lessons and strengthen AI observability.

4lessons
4lessons
24activities
12exercises
3videos

Skills and topics covered

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