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DP-090T00: Implementing a Machine Learning Solution with Microsoft Azure Databricks

Last Updated: 04-02-2025

The DP-090T00: Implementing a Machine Learning Solution with Microsoft Azure Databricks course is designed for data scientists, machine learning engineers, and IT professionals who want to harness the power of Azure Databricks to implement machine learning solutions at scale. Azure Databricks provides a unified analytics platform that combines the capabilities of Apache Spark with Azure’s cloud services to enable seamless development of data-driven applications and models. In this course, you will learn how to set up Azure Databricks, prepare data for training, build and deploy machine learning models, and optimize their performance for real-world applications. Whether you're working on regression, classification, or deep learning models, this course will guide you through the essential steps to successfully implement machine learning workflows in Azure Databricks.

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December 20th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
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December 21st
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
December 22nd
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
Guaranteed-to-Run
10% Off
$320
$288
December 27th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
December 28th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
10% Off
$320
$288
January 03rd
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
January 04th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
January 05th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
January 10th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
January 11th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
January 12th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
January 17th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
January 18th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
January 19th - 20th
06:00 AM - 10:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
20% Off
$320
$256
January 26th
09:00 AM - 05:00 PM (CST)
Live Virtual Classroom (Duration : 8 Hours)
Guaranteed-to-Run
20% Off
$320
$256

Course Prerequisites

  • Basic understanding of machine learning concepts (such as regression, classification, and model evaluation).
  • Familiarity with Python programming, particularly for data analysis and machine learning tasks.
  • Experience with Azure cloud services and the Azure Portal is recommended but not required.
  • Knowledge of Apache Spark or distributed data processing will be helpful but not mandatory.
  • Understanding of basic data engineering practices, such as ETL (Extract, Transform, Load) and working with structured and unstructured data.

Learning Objectives

By the end of the DP-090T00: Implementing a Machine Learning Solution with Microsoft Azure Databricks course, you will be able to:

  1. Understand the core components of Azure Databricks and how it integrates with Azure services for machine learning workflows.
  2. Set up Azure Databricks workspaces and clusters to run machine learning models at scale.
  3. Prepare and process data for machine learning using Databricks notebooks and Apache Spark.
  4. Implement various machine learning models, including regression, classification, and clustering, using Databricks.
  5. Leverage Azure Databricks to build deep learning models using popular frameworks such as TensorFlow and PyTorch.
  6. Use MLflow in Azure Databricks for model tracking, versioning, and deployment.
  7. Automate machine learning workflows using Databricks workflows and Azure Machine Learning integration.
  8. Tune and optimize machine learning models for better accuracy and performance.
  9. Deploy machine learning models for real-time predictions and batch processing in Azure environments.
  10. Prepare for the DP-090 certification exam by gaining practical experience in building, training, and deploying machine learning models using Azure Databricks.

Target Audience

This course is ideal for:

  • Data scientists and machine learning engineers who want to leverage Azure Databricks for building scalable machine learning models.
  • Azure professionals seeking to enhance their skills in implementing machine learning solutions using Azure Databricks and Apache Spark.
  • AI and machine learning enthusiasts looking to learn how to use Databricks in Azure to develop data-driven models and applications.
  • IT professionals and data engineers interested in optimizing their machine learning pipelines using the Azure Databricks environment.
  • Learners preparing for the DP-090 certification exam and those aiming to gain hands-on experience in deploying machine learning solutions using Azure Databricks.

 

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