Phase 17 · MLOps & Model Deployment
TopicsExperiment Tracking (MLflow, Weights & Biases)
Part of the AI Engineer Roadmap.
Summary
Logging hyperparameters, metrics and artifacts across training runs so you can compare experiments systematically instead of relying on memory or scattered notebooks.
How to Learn This
- 1Instrument a training script with MLflow or Weights & Biases logging.
- 2Compare multiple experiment runs side by side in the tool's dashboard.
- 3Log enough metadata that a run could be fully reproduced later.
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