Agent Observability & Cost Control
In production, premiere planned 26 December 2026 BeginnerIntermediateAdvanced
Get notified on YouTube Udemy certificate: coming soon
- Udemy
- Coming soon
- Lessons
- 8
- Planned length
- About 1 h 33 min
- Practicals
- Planned: a hands-on practical and a Udemy assignment in every section, plus a capstone
What you will be able to do
- Know what to log for every call
- Trace a request across model and tool calls
- Trace, score and debug an app in Langfuse or LangSmith
- Alert on cost, latency and quality drift
- Attribute cost per user and per feature
- Serve repeat questions from cache
Syllabus
LLM Engineering and Production: Observability
- Why AI Apps Need Observability Know what to log for every call
- Tracing LLM Apps With OpenTelemetry Trace a request across model and tool calls
- Langfuse and LangSmith Tutorial Trace, score and debug an app in Langfuse or LangSmith
- Dashboards and Alerts for AI Apps Alert on cost, latency and quality drift
LLM Engineering and Production: Cost, Caching and Routing
- Where the Money Goes: Token Accounting Attribute cost per user and per feature
- Caching: Prompt Caching and Semantic Caching Serve repeat questions from cache
- Model Routing, Cascades and Latency Engineering Send each request to the cheapest model that passes, faster
- AI Gateways, Budgets and Kill Switches Centralise keys, logs, limits and spend caps
Take before
Lesson list from the ADITEJUS curriculum. Planned lengths are estimates per lesson; Udemy shows the final length.