EB-6
Agents fail differently from traditional software — usually silently — so measuring them requires a discipline of its own. *Reference module for the structured format: every topic below is split into **Theory**, **Use cases**, and **Practical exercises** (concept-check → applied), and the block closes with a put-into-practice **capstone**.*
Theme: Validation →7 topics — scope and references for each.
**Theory .** Why standard monitoring is insufficient for agents, which build their own path at runtime rather than following fixed code. Students learn the p…
**Theory .** A diagnostic vocabulary. The failure modes unique to agents are tool misuse, context loss, goal drift, retry loops, cascading errors across mult…
**Theory .** A repeatable workflow for turning production failures into improvements: collect traces, cluster them into failure patterns, find root causes, a…
**Theory .** The most insidious property of agent failure: an agent can return a successful status while producing output that is quietly wrong — code that c…
**Theory .** Closing the loop between observability and evaluation. Students learn to convert real production failures into permanent evaluation cases and to…
**Theory .** A practical survey of the observability and evaluation platforms, organised by what distinguishes them — framework coupling, evaluation depth, s…
Topics are combined ad hoc for corporate programs and workshops — there is no fixed public duration. Tell us your goals and we design the track.
Discuss a custom program