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AI Engineering track

Observability

Traces, tokens, latency, eval-in-prod and LLM platform monitoring.

6 concepts4 labs1 challenges
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Concepts

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Work through the concepts in order, or jump to what you need.

1

Observability for LLM Apps

Concept · Hands-on lab included

2

Tracing LLM Calls

Concept · Hands-on lab included

3

Metrics, Logs and Token Counts

Concept · Hands-on lab included

4

Evaluation in Production

Concept · Hands-on lab included

5

Alerting and SLOs for AI

Concept · Hands-on lab included

6

LLM Observability Platforms

Concept · Hands-on lab included

Practice

Hands-on labs

Apply what you've learned in guided, production-style environments.

Browse all labs

Build a Trace with Standard Attributes

30 min · beginner · Observability for LLM Apps

Tally Token Spend by Dimension

30 min · intermediate · Metrics, Logs and Token Counts

Judge a Live Sample

35 min · intermediate · Evaluation in Production

Wire an OTLP-Style Exporter

30 min · advanced · LLM Observability Platforms

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DevOpsForge - AI Engineering · Observability
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