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‎learn-pr/wwl-data-ai/automl-azure-databricks/1-introduction.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.automl-azure-databricks.introduction
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title: Introduction
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metadata:
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title: Introduction
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description: Introduction
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author: wwlpublish
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ms.author: madiepev
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ms.date: 08/26/2024
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ms.topic: unit
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ms.collection:
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durationInMinutes: 1
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content: |
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[!include[](includes/1-introduction.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.automl-azure-databricks.introduction
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title: Introduction
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metadata:
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title: Introduction
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description: Introduction
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author: JulianePadrao
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ms.author: jupadrao
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ms.date: 4/24/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 1
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content: |
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[!include[](includes/1-introduction.md)]
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‎learn-pr/wwl-data-ai/automl-azure-databricks/2-what-automl.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.automl-azure-databricks.what-automl
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title: What is AutoML?
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metadata:
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title: What is AutoML?
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description: What is AutoML?
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author: wwlpublish
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ms.author: madiepev
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ms.date: 08/26/2024
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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[!include[](includes/2-what-automl.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.automl-azure-databricks.what-automl
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title: What is AutoML?
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metadata:
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title: What is AutoML?
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description: What is AutoML?
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author: JulianePadrao
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ms.author: jupadrao
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ms.date: 4/24/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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[!include[](includes/2-what-automl.md)]
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‎learn-pr/wwl-data-ai/automl-azure-databricks/3-automl-user-interface.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.automl-azure-databricks.automl-user-interface
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title: Use AutoML in the Azure Databricks user interface
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metadata:
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title: Use AutoML in the Azure Databricks user interface
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description: Use AutoML in the Azure Databricks user interface
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author: wwlpublish
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ms.author: madiepev
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ms.date: 08/26/2024
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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[!include[](includes/3-automl-user-interface.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.automl-azure-databricks.automl-user-interface
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title: Use AutoML in the Azure Databricks user interface
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metadata:
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title: Use AutoML in the Azure Databricks user interface
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description: Use AutoML in the Azure Databricks user interface
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author: JulianePadrao
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ms.author: jupadrao
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ms.date: 4/24/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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[!include[](includes/3-automl-user-interface.md)]
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‎learn-pr/wwl-data-ai/automl-azure-databricks/4-automl-code.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.automl-azure-databricks.automl-code
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title: Use code to run an AutoML experiment
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metadata:
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title: Use code to run an AutoML experiment
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description: Use code to run an AutoML experiment
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author: wwlpublish
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ms.author: madiepev
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ms.date: 08/26/2024
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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[!include[](includes/4-automl-code.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.automl-azure-databricks.automl-code
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title: Use code to run an AutoML experiment
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metadata:
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title: Use code to run an AutoML experiment
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description: Use code to run an AutoML experiment
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author: JulianePadrao
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ms.author: jupadrao
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ms.date: 4/24/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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content: |
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[!include[](includes/4-automl-code.md)]
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‎learn-pr/wwl-data-ai/automl-azure-databricks/5-exercise-automl.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.automl-azure-databricks.exercise-automl
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title: Exercise - Use AutoML in Azure Databricks
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metadata:
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title: Exercise - Use AutoML in Azure Databricks
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description: Exercise - Use AutoML in Azure Databricks
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author: wwlpublish
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ms.author: madiepev
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ms.date: 08/26/2024
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 30
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content: |
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[!include[](includes/5-exercise-automl.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.automl-azure-databricks.exercise-automl
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title: Exercise - Use AutoML in Azure Databricks
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metadata:
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title: Exercise - Use AutoML in Azure Databricks
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description: Exercise - Use AutoML in Azure Databricks
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author: JulianePadrao
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ms.author: jupadrao
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ms.date: 4/24/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 30
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content: |
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[!include[](includes/5-exercise-automl.md)]
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‎learn-pr/wwl-data-ai/automl-azure-databricks/6-knowledge-check.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.automl-azure-databricks.knowledge-check
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title: Module assessment
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metadata:
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title: Module assessment
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description: Knowledge check
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author: wwlpublish
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ms.author: madiepev
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ms.date: 08/26/2024
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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quiz:
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title: ""
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questions:
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- content: "What does AutoML do?"
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choices:
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- content: "Trains a model based on data you specify using multiple algorithms and hyperparameters to find the best model."
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isCorrect: true
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explanation: "Correct. AutoML tries multiple training combinations to find the optimal model for your data."
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- content: "Runs model training scripts based on a schedule you specify to automate machine learning operations."
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isCorrect: false
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explanation: "Incorrect. AutoML doesn't run scripts on a schedule."
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- content: "Trains and deploys machine learning models for use in self-driving vehicles."
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isCorrect: false
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explanation: "Incorrect. AutoML doesn't create specialized models for self-driving vehicles."
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- content: "You plan to use AutoML in the Azure Databricks user interface. What should you do first?"
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choices:
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- content: "Train a reference model by using the Spark MLlib library."
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isCorrect: false
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explanation: "Incorrect. A reference model isn't required for AutoML."
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- content: "Load the training data into a table in your Azure Databricks workspace."
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isCorrect: true
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explanation: "Correct. You should provide the training data as a table in the Hive metastore."
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- content: "Create a blank notebook."
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isCorrect: false
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explanation: "Incorrect. You don't need to create a notebook to run AutoML in the user interface."
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- content: "You want to use the AutoML API to train a model that predicts the expected price of a home based on the size, number of bedrooms, and postal code? What method should you use?"
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choices:
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- content: "`classify`"
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isCorrect: false
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explanation: "Incorrect. Classification models predict a class or category."
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- content: "`regress`"
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isCorrect: true
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explanation: "Correct. A regression model predicts a numeric value."
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- content: "`forecast`"
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isCorrect: false
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explanation: "Incorrect. A forecast model predicts values based on time."
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### YamlMime:ModuleUnit
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uid: learn.wwl.automl-azure-databricks.knowledge-check
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title: Module assessment
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metadata:
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title: Module assessment
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description: Knowledge check
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author: JulianePadrao
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ms.author: jupadrao
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ms.date: 4/24/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
14+
quiz:
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title: ""
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questions:
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- content: "What does AutoML do?"
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choices:
19+
- content: "Trains a model based on data you specify using multiple algorithms and hyperparameters to find the best model."
20+
isCorrect: true
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explanation: "Correct. AutoML tries multiple training combinations to find the optimal model for your data."
22+
- content: "Runs model training scripts based on a schedule you specify to automate machine learning operations."
23+
isCorrect: false
24+
explanation: "Incorrect. AutoML doesn't run scripts on a schedule."
25+
- content: "Trains and deploys machine learning models for use in self-driving vehicles."
26+
isCorrect: false
27+
explanation: "Incorrect. AutoML doesn't create specialized models for self-driving vehicles."
28+
- content: "You plan to use AutoML in the Azure Databricks user interface. What should you do first?"
29+
choices:
30+
- content: "Train a reference model by using the Spark MLlib library."
31+
isCorrect: false
32+
explanation: "Incorrect. A reference model isn't required for AutoML."
33+
- content: "Load the training data into a table in your Azure Databricks workspace."
34+
isCorrect: true
35+
explanation: "Correct. You should provide the training data as a table in the Hive metastore."
36+
- content: "Create a blank notebook."
37+
isCorrect: false
38+
explanation: "Incorrect. You don't need to create a notebook to run AutoML in the user interface."
39+
- content: "You want to use the AutoML API to train a model that predicts the expected price of a home based on the size, number of bedrooms, and postal code? What method should you use?"
40+
choices:
41+
- content: "`classify`"
42+
isCorrect: false
43+
explanation: "Incorrect. Classification models predict a class or category."
44+
- content: "`regress`"
45+
isCorrect: true
46+
explanation: "Correct. A regression model predicts a numeric value."
47+
- content: "`forecast`"
48+
isCorrect: false
49+
explanation: "Incorrect. A forecast model predicts values based on time."
50+

‎learn-pr/wwl-data-ai/automl-azure-databricks/7-summary.yml

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### YamlMime:ModuleUnit
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uid: learn.wwl.automl-azure-databricks.summary
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title: Summary
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metadata:
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title: Summary
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description: Summary
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author: wwlpublish
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ms.author: madiepev
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ms.date: 08/26/2024
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 1
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content: |
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[!include[](includes/7-summary.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.automl-azure-databricks.summary
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title: Summary
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metadata:
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title: Summary
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description: Summary
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author: JulianePadrao
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ms.author: jupadrao
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ms.date: 4/24/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 1
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content: |
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[!include[](includes/7-summary.md)]
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‎learn-pr/wwl-data-ai/automl-azure-databricks/index.yml

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### YamlMime:Module
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uid: learn.wwl.automl-azure-databricks
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metadata:
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title: Use AutoML in Azure Databricks
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description: Learn how to use AutoML to train optimal machine learning models for your data in Azure Databricks.
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author: wwlpublish
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ms.author: madiepev
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ms.date: 08/26/2024
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ms.service: azure-databricks
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ms.topic: module-standard-task-based
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ms.collection:
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- wwl-ai-copilot
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title: Use AutoML in Azure Databricks
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summary: AutoML in Azure Databricks simplifies the process of building an effective machine learning model for your data.
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abstract: |
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In this module, you learn how to:
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- Use the AutoML user interface in Azure Databricks
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- Use the AutoML API in Azure Databricks
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prerequisites: |
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Before starting this module, you should be familiar with machine learning in Azure Databricks.
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iconUrl: /training/achievements/automl-azure-databricks.svg
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levels:
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- intermediate
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roles:
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- data-scientist
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products:
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- azure-databricks
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subjects:
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- data-management
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- machine-learning
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units:
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- learn.wwl.automl-azure-databricks.introduction
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- learn.wwl.automl-azure-databricks.what-automl
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- learn.wwl.automl-azure-databricks.automl-user-interface
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- learn.wwl.automl-azure-databricks.automl-code
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- learn.wwl.automl-azure-databricks.exercise-automl
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- learn.wwl.automl-azure-databricks.knowledge-check
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- learn.wwl.automl-azure-databricks.summary
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badge:
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uid: learn.wwl.automl-azure-databricks.badge
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### YamlMime:Module
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uid: learn.wwl.automl-azure-databricks
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metadata:
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title: Use AutoML in Azure Databricks
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description: Learn how to use AutoML to train optimal machine learning models for your data in Azure Databricks.
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author: JulianePadrao
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ms.author: jupadrao
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ms.date: 4/24/2025
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ms.service: azure-databricks
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ms.topic: module-standard-task-based
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ms.collection:
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- wwl-ai-copilot
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title: Use AutoML in Azure Databricks
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summary: AutoML in Azure Databricks simplifies the process of building an effective machine learning model for your data.
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abstract: |
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In this module, you learn how to:
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- Use the AutoML user interface in Azure Databricks
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- Use the AutoML API in Azure Databricks
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prerequisites: |
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Before starting this module, you should be familiar with machine learning in Azure Databricks.
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iconUrl: /training/achievements/automl-azure-databricks.svg
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levels:
23+
- intermediate
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roles:
25+
- data-scientist
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products:
27+
- azure-databricks
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subjects:
29+
- data-management
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- machine-learning
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units:
32+
- learn.wwl.automl-azure-databricks.introduction
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- learn.wwl.automl-azure-databricks.what-automl
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- learn.wwl.automl-azure-databricks.automl-user-interface
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- learn.wwl.automl-azure-databricks.automl-code
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- learn.wwl.automl-azure-databricks.exercise-automl
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- learn.wwl.automl-azure-databricks.knowledge-check
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- learn.wwl.automl-azure-databricks.summary
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badge:
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uid: learn.wwl.automl-azure-databricks.badge
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