MLflow: End-to-End ML Lifecycle
MLflow: End-to-End ML Lifecycle is a free intermediate-level course from Databricks Academy, typically completed in 3 weeks (around 20 study hours).
- Price
- Free
- Duration
- 3 weeks
- Level
- Intermediate
- Study hours
- 20 hours
- Provider
- Databricks Academy
About this course
Track experiments, package models and manage the ML lifecycle with MLflow.
What you will be able to do
- Package, serve and version models in a reproducible way
- Train and evaluate models on a prepared dataset
- Analyse model errors, bias and overfitting
- Monitor deployed models for drift and degradation
- Assemble portfolio evidence you can explain and defend at interview
Highlights
- MLflow
- Databricks
Questions people ask
How much does MLflow: End-to-End ML Lifecycle cost?
MLflow: End-to-End ML Lifecycle is free. Some providers charge separately for a verified certificate.
How long does MLflow: End-to-End ML Lifecycle take?
The provider lists 3 weeks. That works out at roughly 20 study hours in total.
Is MLflow: End-to-End ML Lifecycle suitable for beginners?
It is pitched at intermediate level, so some prior experience helps.
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