DP-3014: Implementing a Machine Learning solution with Azure Databricks Course Overview

DP-3014: Implementing a Machine Learning solution with Azure Databricks Course is designed to provide scalable machine learning models and to provide professors with the knowledge and skills required to take advantage of the power of azure Databricks to make large data workload. Participants will learn to process large datasets, develop future models and deploy machine learning solutions to use the Apache Spark-based tool within the Azure Databricks environment.  

The curriculum includes the basic principles of azure Databricks including establishing and configuring the workspaces, managing clusters and understanding the collaborative environment for data engineering and machine learning development. It enhances the overall efficiency of workflows such as various azure services such as azure machine learning, azure data lake, and azure Synapse Analytics. 

Major disciplines include data preprocessing, feature engineering, evaluation of model development and model performance using Apache Spark MLlib . Learners will also get experience on hand in production to deploy machine learning models and use Databricks notebooks for collaborative development and reporting.  

SSDN Technologies, a leading corporate training company, provides this course as part of its comprehensive training programs. Through this course, learners can get practical expertise in azure Databricks, which are essential for organizations that want to exploit data-powered insights and make better business decisions. 


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Learning Options for You

  • Live Training (Duration : 8 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic understanding of machine learning concepts and workflows.
  • Familiarity with Python programming and data analysis.
  • Knowledge of Azure services such as Azure Storage, Azure Machine Learning, and Azure Databricks.
  • Prior experience with data engineering or data science projects is beneficial.

Learning Objectives

The DP-3014: Implementing a Machine Learning Solution with Azure Databricks course provides hands-on training for building, training, and deploying machine learning models at scale. Participants will learn how to use Azure Databricks to process large datasets, collaborate efficiently, and integrate ML solutions with Azure services. By the end of this course, learners will be able to implement end-to-end machine learning pipelines in a cloud environment.

Target Audience

  • Data Engineers and Data Scientists working with big data and machine learning.
  • AI/ML professionals looking to implement scalable solutions on Azure.
  • Solution Architects responsible for designing ML workflows in cloud environments.
  • Developers interested in integrating machine learning models into applications.
  • IT Professionals aiming to upskill in Azure Databricks and ML implementation.

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