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Certification Bootcamp for DP-090: Implementing a Machine Learning Solution with Microsoft Azure Databricks

Azure Exam DP-090

Duration: 1 Day

Description

The Microsoft DP-090 (Implementing a Machine Learning Solution with Microsoft Azure Databricks) certification BootCamp course from CloudThat has been curated for candidates preparing to take up the DP-090 exam. Through our Azure training courses, candidates will acquire knowledge and develop skills with the help of our in-house subject matter experts to successfully clear the final exam and get certified.  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.

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.

Course Outline

  • Module 1: Introduction to Azure Databricks
    Module 2: Training and Evaluating Machine Learning Models
    Module 3: Managing
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Objective

  • 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

Who Should Attend

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.

Prerequisites

  • Candidates planning to take up the DP-090 certification exam should have experience of using Python to work with data, and some knowledge of machine learning concepts.
  • Before attending this course, complete the following learning path on Microsoft Learn: Create machine learning models.

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. Lessons

  • Getting Started with Azure Databricks
  • Working with Data in Azure Databricks

Hands-on : Getting Started with Azure Databricks Hands-on : Working with Data in Azure Databricks 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
  • Training a Machine Learning Model

Hands-on : Training a Machine Learning Model Hands-0n : Preparing Data for Machine Learning 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
  • Managing Models

Hands-on : Using MLflow to Track Experiments Hands-on : Managing 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
  • Deploying Models

Hands-on : Deploying Models in Azure Machine Learning Hands-on : Running Experiments in Azure Machine Learning

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