Implementing a Machine Learning Solution with Microsoft Azure Databricks

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

                  Participant data protection: GDPR

                  NANFOR IBÉRICA SL guarantees the protection and confidentiality of the personal data provided to us in accordance with the provisions of the General Regulation on the Protection of Personal Data (EU) 2016/679 of the European Parliament and of the Council, of April 27, 2016. and the Law on Information Society Services and Electronic Commerce 34/2002 of July 11 (LSSI-CE). We inform you that your email address, as well as the rest of the personal data, are for the purpose of managing communications and training relationships electronically. In compliance with the provisions of the RGPD, you may exercise your rights of access, rectification, cancellation/deletion, opposition, limitation or portability in the terms established in the General Data Protection Regulation. The person responsible for the treatment is NANFOR IBÉRICA SL with address at C/ Príncipe de Vergara 95 1ºD. 28006, Madrid, or by email at support@nanforiberica.com , attaching a copy of your ID.

                    €495.00
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