DP-100 Exam Prep: Designing and Implementing a Data Science Solution on Azure (preview)

AVG Duration6h
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This learning path is designed to help you prepare for Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure exam. Even if you don't plan to take the exam, these courses and hands-on labs will help you learn how to use Azure's machine learning solutions.

Candidates who pass the DP-100 exam will earn the Microsoft Certified: Azure Data Scientist Associate certification.

Learning Objectives

  • Set up an Azure Machine Learning workspace
  • Run experiments and train Azure Machine Learning models
  • Optimize and manage Azure Machine Learning models
  • Deploy and consume Azure Machine Learning models

Intended Audience

  • People who want to become Azure data scientists
  • People preparing for Microsoft’s DP-100 exam


  • Basic experience using Microsoft Azure


Your certificate for this learning path

Learning Path Steps


This introduction gives an overview of the requirements for the Microsoft DP-100 Exam and how they will be covered.


This course explores the basic concepts of machine learning and shows hands-on examples on the Azure platform.


This course explores how to use Python and machine learning to manage data ingestion, data preparation, model training, and model deployment in Microsoft Azure.


In this lab, use Azure's Machine Learning SDK to build an ML Pipeline to train and deploy a model.


In this lab, use Azure's Automated Machine Learning service to quickly develop production-ready models with minimal time and effort.


In this lab, use Azure's Machine Learning Hyperdrive package to quickly tune hyperparameters for a regression model.

About the Author
Learning paths64

Guy launched his first training website in 1995 and he's been helping people learn IT technologies ever since. He has been a sysadmin, instructor, sales engineer, IT manager, and entrepreneur. In his most recent venture, he founded and led a cloud-based training infrastructure company that provided virtual labs for some of the largest software vendors in the world. Guy’s passion is making complex technology easy to understand. His activities outside of work have included riding an elephant and skydiving (although not at the same time).