Applied AI
MLOps & LLMOps
Model deployment, experiment tracking, monitoring, inference optimisation and AI pipelines
Skills in this topic
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Experiment Tracking
beginner
Log experiments with MLflow or Weights & Biases
Model Deployment
intermediate
Wrap a model in a FastAPI endpoint
Model Monitoring
intermediate
Set up drift detection with Evidently AI
Feature Stores
advanced
Define feature views in Feast
LLMOps
advanced
Set up LangSmith or Langfuse for LLM tracing
No lessons yet for MLOps & LLMOps
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