Apr 2, 2025 · This article describes the tools that Mosaic AI (formerly Databricks Machine Learning) provides to help you build AI and ML systems. The diagram shows how various products on Databricks platform help you implement your end to end workflows to build and deploy AI and ML systems.

Apr 25, 2025 · This tutorial notebook presents an end-to-end example of training a classic ML model in Databricks, including loading data, visualizing the data, setting up a parallel hyperparameter optimization, and using MLflow to review the results, register the model, and perform inference on new data using the registered model in a Spark UDF.

Data scientists and engineers can use this standardized process to move machine learning models and pipelines from development to production. This solution can take advantage of full automation, continuous monitoring, and robust collaboration and therefore targets a level 4 of MLOps maturity.

Use this article as a starting point to design a well-architected solution that aligns with your workload's specific requirements. This solution outlines the key principles and components of modern data architectures. Azure Databricks forms the core of the solution.

Jan 10, 2022 · One combination of tools includes using Databricks to build and manage machine learning models and Kubernetes to deploy models. This article will explore how to design this solution on Microsoft Azure followed by step-by-step instructions on how to implement this solution as a proof-of-concept.

Dec 6, 2024 · Learn how to use Databricks throughout the machine learning lifecycle. This guide steps through key stages such as data loading and preparation; model training, tuning, and inference; and model deployment and management.

Participants will explore key ML techniques, including regression and clustering, while leveraging Databricks’ powerful capabilities. The course covers MLflow integration for model tracking, Databricks Feature Store for feature management, and Optuna for hyperparameter tuning.

In this course, you will develop the foundational skills needed to use the Databricks Data Intelligence Platform for executing basic machine learning workflows and supporting data science workloads.

databricks/databricks-ml-examples is a repository to show machine learning examples on Databricks platforms. Currently this repository contains: llm-models/: Example notebooks to use different State of the art (SOTA) models on Databricks. llm-fine-tuning/: Fine tuning scripts and notebooks to fine tune State of the art (SOTA) models on Databricks.

Mar 3, 2025 · Azure Databricks comes with notebooks that let you run machine learning algorithms, connect to common data sources, and learn the basics of Apache Spark to get started rapidly.