II.
SkillArea overview
Reference · liveskill-area:model-serving-deployment
Model Serving and Deployment overview
Deploying trained models into serving environments - endpoint rollout, packaging, runtime contracts, and promotion into live traffic.
Attributes
displayName
Model Serving and Deployment
description
Deploying trained models into serving environments - endpoint rollout,
packaging, runtime contracts, and promotion into live traffic.
domains
expertiseLevels
- intermediate
- expert
Outgoing edges
applies_to2
- domain:ml-ops·DomainMLOps
- specialization:ml-inference-serving·SpecializationML Inference Serving
requires_skill_area1
- skill-area:model-serving-operations·SkillAreaModel Serving
Incoming edges
lib_requires_skill_area4
- lib-agent:ai-agents-conversational--agent-deployment-engineer·LibraryAgentagent-deployment-engineer
- lib-agent:data-science-ml--deployment-engineer·LibraryAgentdeployment-engineer
- lib-skill:data-science-ml--bentoml-model-packager·LibrarySkillbentoml-model-packager
- lib-skill:data-science-ml--seldon-model-deployer·LibrarySkillseldon-model-deployer
prerequisite_for_learning2
- skill-area:model-serving·SkillAreaModel Serving
- skill-area:machine-learning·SkillAreaMachine Learning
requires_skill_area5
- stack-profile:feature-store-mlops·StackProfileFeature Store & MLOps Stack (Feast, MLflow, BentoML, K8s, Prometheus)
- stack-profile:llm-fine-tuning·StackProfileLLM Fine-Tuning Stack (PyTorch, HuggingFace, PEFT/LoRA, W&B, vLLM)
- stack-profile:voice-ai-agent·StackProfileVoice AI Agent Stack (Whisper, TTS, WebSocket, FastAPI, React)
- stack-profile:edge-ai-iot·StackProfileEdge AI / IoT Stack (TensorFlow Lite, MQTT, Rust, InfluxDB, Grafana)
- stack-profile:ml-pipeline-stack·StackProfileML Pipeline Stack (PyTorch/TensorFlow, MLflow, BentoML, K8s)