slug: amazon-deepracer
provider: Amazon DeepRacer
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Software & Technology
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 1
edges:
- tag: Models
  spec_file: amazon-deepracer-models-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: GET /20201101/models listModels; DELETE /20201101/models/{modelArn} deleteModel — 'manage
    DeepRacer vehicles, reinforcement learning models'
  reason: Operations manage the lifecycle (list, get, delete) of reinforcement learning models, which
    is ML model lifecycle management. Confidence tempered because this is a training/educational context
    rather than production MLOps.