aiops models
Inspect the simulated model catalog, manifests, and version comparisons.
Combine system, model, retrieval, serving, safety, cost, and evidence habits in operator-style incidents.
Triage elevated latency through a bounded evidence-first AI operations workflow in the training lab.
Capstone 02 Incident response and capstones Investigate inference errorsInvestigate inference errors through a bounded evidence-first AI operations workflow in the training lab.
Capstone 03 Incident response and capstones Diagnose retrieval regressionDiagnose retrieval regression through a bounded evidence-first AI operations workflow in the training lab.
Capstone 04 Incident response and capstones Review a prompt rollout incidentReview a prompt rollout incident through a bounded evidence-first AI operations workflow in the training lab.
Capstone 05 Incident response and capstones Investigate GPU pressureInvestigate GPU pressure through a bounded evidence-first AI operations workflow in the training lab.
Capstone 06 Incident response and capstones Trace a cost spikeTrace a cost spike through a bounded evidence-first AI operations workflow in the training lab.
Capstone Checkpoint 07 Incident response and capstones Review a guardrail regressionReview a guardrail regression through a bounded evidence-first AI operations workflow in the training lab.
Capstone Checkpoint 08 Incident response and capstones Handle a stale indexHandle a stale index through a bounded evidence-first AI operations workflow in the training lab.
Capstone 09 Incident response and capstones Prepare a model rollbackPrepare a model rollback through a bounded evidence-first AI operations workflow in the training lab.
Capstone 10 Incident response and capstones Build a complete evidence bundleBuild a complete evidence bundle through a bounded evidence-first AI operations workflow in the training lab.
Capstone 11 Incident response and capstones Write an incident reviewWrite an incident review through a bounded evidence-first AI operations workflow in the training lab.
Capstone 12 Incident response and capstones AI operations final capstoneAI operations final capstone through a bounded evidence-first AI operations workflow in the training lab.
Capstone CheckpointCreate a free account to sync completed lessons, XP, streaks, course status, and your next lesson across sessions.
Checking account status...
Progress sync is idle.
Progress sync stores completion IDs, scores, streaks, badges, and game settings. Terminal contents, editor snippets, lab scratch, email, and real names are never published on leaderboards or share cards.
aiops models
Inspect the simulated model catalog, manifests, and version comparisons.
aiops prompts
Review versioned prompt metadata and deterministic prompt diffs.
aiops evals
Run and inspect bounded evaluation fixtures without model execution.
aiops rag
Inspect retrieval documents, chunks, index status, and reviewed results.
aiops traces
Read deterministic request traces, summaries, and latency evidence.
aiops guardrails
Review simulated guardrail policies, checks, and audit summaries.
aiops cost
Estimate cost and capacity from fixed training metrics.
aiops incidents
Review incident timelines, evidence bundles, and operator notes.