Implementing a Machine Learning Solution with Azure Databricks (DP-090T00) (MSDAI12)

Module 1: Introduction to Azure Databricks

In this module, you will learn how to provision an Azure Databricks workspace and cluster, and use them to work with data.

Lessons

Getting Started with Azure Databricks

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Working with Data in Azure Databricks

Lab : Getting Started with Azure Databricks

Lab : Working with Data in Azure Databricks

After completing this module, you will be able to:

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Provision an Azure Databricks workspace and cluster

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Use Azure Databricks to work with data

Module 2: Training and Evaluating Machine Learning Models

In this module, you will learn how to use Azure Databricks to prepare data for modeling, and train and validate a machine learning model.

Lessons

Preparing Data for Machine Learning

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Training a Machine Learning Model

Lab : Training a Machine Learning Model

Lab : Preparing Data for Machine Learning

After completing this module, you will be able to use Azure Databricks to:

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Prepare data for modeling

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Train and validate a machine learning model

Module 3: Managing Experiments and Models

In this module, you will learn how to use MLflow to track experiments running in Azure Databricks, and how to manage machine learning models.

Lessons

Using MLflow to Track Experiments

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Managing Models

Lab : Using MLflow to Track Experiments

Lab : Managing Models

After completing this module, you will be able to:

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Use MLflow to track experiments

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Manage models

Module 4: Integrating Azure Databricks and Azure Machine Learning

In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning

Lessons

Tracking Experiments with Azure Machine Learning

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Deploying Models

Lab : Deploying Models in Azure Machine Learning

Lab : Running Experiments in Azure Machine Learning

After completing this module, you will be able to:

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Run Azure Machine Learning experiments on Azure Databricks compute

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Deploy models trained on Azure Databricks to Azure Machine Learning

Azure Databricks è una piattaforma su scala cloud per l’analisi dei dati e l’apprendimento automatico. In questo corso di un giorno imparerai come usare Azure Databricks per esplorare, preparare e modellare i dati; e integrare i processi di machine learning di Databricks con Azure Machine Learning.

Prima di frequentare questo corso, dovresti avere esperienza nell’uso di Python per lavorare con i dati e una certa conoscenza dei concetti di machine learning. Prima di frequentare questo corso, completa il seguente percorso di apprendimento su Microsoft Learn: Crea modelli di machine learning.

Al termine del corso i partecipanti saranno in grado di:

• Effettuare il provisioning di un’area di lavoro e di un cluster di Azure Databricks
• Usare Azure Databricks per eseguire il training di un modello di Machine Learning
• Utilizzare MLflow per tenere traccia degli esperimenti e gestire i modelli di machine learning
• Integrare Azure Databricks con Azure Machine Learning