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DP-100: Designing and Implementing a Data Science Solution on Azure

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The "Designing and Implementing a Data Science Solution on Azure" course is tailored to equip individuals with the skills and knowledge necessary for creating effective data science solutions within the Azure cloud environment. This course covers a wide array of topics, including data exploration, modeling, and deployment, providing essential expertise for those aiming to excel in the field of data science using Microsoft Azure. It serves as a pivotal step for professionals looking to harness the power of Azure for data-driven decision-making and advanced analytics.


Course Benefits

  • Designing and creating a suitable working environment for data science workloads.
  • Exploring data.
  • Training machine learning models.
  • Implementing pipelines.
  • Running jobs to prepare for production.
  • Managing, deploying, and monitoring scalable machine learning solutions.

Class Pre-requisites

Experience in the following is required for this Azure class:

  • Azure Machine Learning
  • MLflow
Skills Measured
  • Design and prepare a machine learning solution
  • Explore data and train models
  • Prepare a model for deployment
  • Deploy and retrain a model
  • Course Duration
    4 days
  • Language
    English

DP-100: Designing and Implementing a Data Science Solution on Azure

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