slug: microsoft-azure-machine-learning
provider: Azure Machine Learning
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: Workspaces
  spec_file: microsoft-azure-machine-learning-workspaces-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: '''Azure Machine Learning lets data scientists and developers build, train, and deploy machine
    learning models. The REST API manages workspaces, models, endpoints, deployments, jobs, datasets,
    and compute.'''
  reason: The resource managed is the ML workspace that hosts model training and deployment, supporting
    the AI/ML model lifecycle (MLOps). Operations themselves are generic resource CRUD, so confidence
    is moderate rather than high.