aiops models
Inspect the simulated model catalog, manifests, and version comparisons.
Understand models, requests, components, failure boundaries, and the operator's evidence-first role.
Map an AI application through a bounded evidence-first AI operations workflow in the training lab.
Beginner 02 AI systems foundations Separate model and applicationSeparate model and application through a bounded evidence-first AI operations workflow in the training lab.
Beginner 03 AI systems foundations Trace a request lifecycleTrace a request lifecycle through a bounded evidence-first AI operations workflow in the training lab.
Beginner 04 AI systems foundations Name the serving boundaryName the serving boundary through a bounded evidence-first AI operations workflow in the training lab.
Beginner 05 AI systems foundations Read an inference contractRead an inference contract through a bounded evidence-first AI operations workflow in the training lab.
Beginner 06 AI systems foundations Distinguish training and inferenceDistinguish training and inference through a bounded evidence-first AI operations workflow in the training lab.
Beginner 07 AI systems foundations Identify deterministic componentsIdentify deterministic components through a bounded evidence-first AI operations workflow in the training lab.
Beginner 08 AI systems foundations Recognize probabilistic outputRecognize probabilistic output through a bounded evidence-first AI operations workflow in the training lab.
Beginner Checkpoint 09 AI systems foundations Separate data and instructionsSeparate data and instructions through a bounded evidence-first AI operations workflow in the training lab.
Beginner 10 AI systems foundations Locate an operational failureLocate an operational failure through a bounded evidence-first AI operations workflow in the training lab.
Beginner 11 AI systems foundations Read a system dependency mapRead a system dependency map through a bounded evidence-first AI operations workflow in the training lab.
Beginner 12 AI systems foundations Define an operator signalDefine an operator signal through a bounded evidence-first AI operations workflow in the training lab.
Beginner 13 AI systems foundations Use evidence before actionUse evidence before action through a bounded evidence-first AI operations workflow in the training lab.
Beginner 14 AI systems foundations Write a system baselineWrite a system baseline through a bounded evidence-first AI operations workflow in the training lab.
Beginner 15 AI systems foundations Foundations review checkpointFoundations review checkpoint through a bounded evidence-first AI operations workflow in the training lab.
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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.