Implementing a Machine Learning Solution with Azure Databricks

Master the art of implementing a cutting-edge machine learning solution with Azure Databricks, designed exclusively for experienced data scientists aiming to excel in data analytics and predictive modeling on the cloud-scale platform.

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Essential Skills Gained

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Provision an Azure Databricks workspace and cluster.

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Train machine learning models using Azure Databricks.

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Track and manage experiments with MLflow.

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Integrate Databricks with Azure Machine Learning.

Format

  • Instructor-led
  • 1 days with lectures and hands-on labs.

Audience

  • Data Scientists
  • Machine Learning Engineers
  • Data Analysts
  • AI Specialists

Description

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.

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Upcoming Course Dates

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Course Outline

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Module 1: Introduction to Azure Databricks

  1. Getting Started with Azure Databricks

  2. Working with Data in Azure Databricks

Module 2: Training and Evaluating Machine Learning Models

  1. Preparing Data for Machine Learning

  2. Training a Machine Learning Model

Module 3: Managing Experiments and Models

  1. Using MLflow to Track Experiments

  2. Managing Models

Module 4: Integrating Azure Databricks and Azure Machine Learning

  1. Tracking Experiments with Azure Machine Learning

  2. Deploying Models

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