aiops models
Inspect the simulated model catalog, manifests, and version comparisons.
AI operations lab
Models, artifacts, and runtimes
Inspect model manifests, versions, artifacts, runtime compatibility, accelerators, and rollout evidence.
Track progress
0/180 lessons
0/18 missions
0/11 briefings
12 courses
01
Models, artifacts, and runtimes
List model inventory
List model inventory through a bounded evidence-first AI operations workflow in the training lab.
Beginner 02 Models, artifacts, and runtimes Read a model manifestRead a model manifest through a bounded evidence-first AI operations workflow in the training lab.
Beginner 03 Models, artifacts, and runtimes Compare model versionsCompare model versions through a bounded evidence-first AI operations workflow in the training lab.
Beginner 04 Models, artifacts, and runtimes Inspect artifact metadataInspect artifact metadata through a bounded evidence-first AI operations workflow in the training lab.
Beginner 05 Models, artifacts, and runtimes Verify an artifact checksumVerify an artifact checksum through a bounded evidence-first AI operations workflow in the training lab.
Beginner 06 Models, artifacts, and runtimes Match model and runtimeMatch model and runtime through a bounded evidence-first AI operations workflow in the training lab.
Beginner 07 Models, artifacts, and runtimes Read context limitsRead context limits through a bounded evidence-first AI operations workflow in the training lab.
Beginner 08 Models, artifacts, and runtimes Inspect tokenizer metadataInspect tokenizer metadata through a bounded evidence-first AI operations workflow in the training lab.
Beginner Checkpoint 09 Models, artifacts, and runtimes Compare quantization profilesCompare quantization profiles through a bounded evidence-first AI operations workflow in the training lab.
Core 10 Models, artifacts, and runtimes Read memory requirementsRead memory requirements through a bounded evidence-first AI operations workflow in the training lab.
Core 11 Models, artifacts, and runtimes Inspect accelerator availabilityInspect accelerator availability through a bounded evidence-first AI operations workflow in the training lab.
Core 12 Models, artifacts, and runtimes Spot a runtime mismatchSpot a runtime mismatch through a bounded evidence-first AI operations workflow in the training lab.
Core 13 Models, artifacts, and runtimes Choose a rollback artifactChoose a rollback artifact through a bounded evidence-first AI operations workflow in the training lab.
Core 14 Models, artifacts, and runtimes Review model provenanceReview model provenance through a bounded evidence-first AI operations workflow in the training lab.
Core 15 Models, artifacts, and runtimes Build a model baselineBuild a model baseline through a bounded evidence-first AI operations workflow in the training lab.
Core 16 Models, artifacts, and runtimes Models and runtimes checkpointModels and runtimes checkpoint through a bounded evidence-first AI operations workflow in the training lab.
Core Checkpoint
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Command coverage
Commands you will practice here.
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.
jq
Query JSON fixtures with a small declarative path subset; no expression execution occurs.
nvidia-smi
Read fixed accelerator and memory signals for capacity practice.