# Getting started with MLflow

DevFeed: [Getting started with MLflow](<https://devfeed.tech/articles/getting-started-with-mlflow-28599.md>)

Original publisher: [Read original article](<https://www.marvelousmlops.io/p/getting-started-with-mlflow>)

Author: Maria Vechtomova

Published: 2025-07-30T13:47:51Z

Content type: tutorial

Language: en

Sources: [MarvelousMLOps](<https://devfeed.tech/sources/marvelousmlops.md>)

Topics: [databricks](<https://devfeed.tech/topics/databricks.md>), [MLOps](<https://devfeed.tech/topics/mlops.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>), [Filesystems](<https://devfeed.tech/topics/filesystems.md>), [Code](<https://devfeed.tech/topics/code.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [vs-code](<https://devfeed.tech/topics/vs-code.md>)

Tags: [best-practices](<https://devfeed.tech/tags/best-practices.md>), [cli](<https://devfeed.tech/tags/cli.md>), [code](<https://devfeed.tech/tags/code.md>), [databricks](<https://devfeed.tech/tags/databricks.md>), [env-file-security](<https://devfeed.tech/tags/env-file-security.md>), [getting-started](<https://devfeed.tech/tags/getting-started.md>), [mlops](<https://devfeed.tech/tags/mlops.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [vs-code](<https://devfeed.tech/tags/vs-code.md>)

## AI overview

Lecture 3 in an MLOps course with Databricks introduces MLflow experiment tracking. It explains the Experiment and Run entities, how they are created and retrieved, and how to configure MLflow tracking and registry URIs for Databricks and local development.

## Source excerpt

Lecture 3 of MLOps with Databricks course