Implementing a Machine Learning Solution with Microsoft Azure Databricks

€495.00
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¿Quiere realizar este curso en modalidad telepresencial o presencial?

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Implementing a Machine Learning Solution with Microsoft Azure Databricks. DP090T00

Modality

  • In-person edition (*)
  • Online edition (Once you register you will receive the registration with the username and password)
( * ) During the state of alarm they are only done in teletraining mode and subsequently they will preferably be done in teletraining mode.

    Training details:

    Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this one-day course, you'll learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

    Audience profile

    This course is designed for data scientists with experience of Pythion who need to learn how to apply their data science and machine learning skills on Azure Databricks.

    At the end of the course

    After completing this course, you will be able to:

    • Provision an Azure Databricks workspace and cluster
    • Use Azure Databricks to train a machine learning model
    • Use MLflow to track experiments and manage machine learning models
    • Integrate Azure Databricks with Azure Machine Learning


        Course Outline

        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.

        lesson

        • Getting Started with Azure Databricks
        • 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:

        • Provision an Azure Databricks workspace and cluster
        • 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.

        lesson

        • Preparing Data for Machine Learning
        • Training a Machine Learning Model

        Lab: Preparing Data for Machine Learning

        Lab: Training a Machine Learning Model

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

        • Prepare data for modeling
        • 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.

        lesson

        • Using MLflow to Track Experiments
        • Managing Models

        Lab: Using MLflow to Track Experiments

        Lab: Managing Models

        After completing this module, you will be able to:

        • Use MLflow to track experiments
        • 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

        lesson

        • Tracking Experiments with Azure Machine Learning
        • Deploying Models

        Lab: Running Experiments in Azure Machine Learning

        Lab: Deploying Models in Azure Machine Learning

        After completing this module, you will be able to:

        • Run Azure Machine Learning experiments on Azure Databricks compute
        • Deploy models trained on Azure Databricks to Azure Machine Learning

                  Contact: Javier Lozano - email: info@nanforiberica.com - Telephone +34915620454

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                    Information related to training

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                    Training support: Always by your side

                    Formación presencial y telepresencial

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