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Free Lesson
Design Observability for LLM Apps
30 min
Jan 12, 2026 5:00 PM
Virtual (Zoom)
In this video
What you'll learn
How to choose metrics that reflect real LLM behavior
Learn which signals actually matter, including quality, latency, cost, and failure modes.
How to instrument LLM apps beyond basic logs
Understand how to capture inputs, outputs, and intermediate steps without over-instrumenting.
How to detect and diagnose production issues
Learn how observability helps identify hallucinations, regressions, and silent failures.
How to use metrics to guide iteration
Learn how to connect observability data to product and engineering decisions.
Why this topic matters
Many LLM apps fail quietly in production. Without the right metrics, teams struggle to spot quality issues, rising costs, or degraded user experience. This session focuses on designing observability for LLM apps, covering which metrics matter, how to instrument systems responsibly, and how to use data to detect issues early and guide product and engineering decisions.
You'll learn from
Dr. Aki Wijesundara
AI Founder | Educator | Google AI Accelerator Alum
Previous students from
