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

  • Number of Courses6 courses
  • Duration11 hours

Microsoft Azure offers a set of related services to address the day-to-day workflow of a data scientist. This skill teaches how these Azure services work together to enable various parts of this workflow.This path is designed to address the Microsoft DP-100 certification exam.

Courses in this path

Getting Started with Machine Learning using Azure

The courses in this section teach you how to get started with creating a machine learning workspace and to build a data pipeline . In addition, this part of the path discusses the role of effective communication as part of the data science workflow.

Building Your First Data Science Project in Microsoft Azure

  • by Axel Sirota
  • 1h 51m Duration
  •  (20)

Set Up an Azure Machine Learning Workspace and Build Models

This section teaches you how to source, clean, and shape your data for further analysis in Microsoft Azure. You will learn how to build, train and evaluate models using Microsoft Azure.

Experimental Design for Data Analysis

  • by Janani Ravi
  • 2h 45m Duration
  •  (38)

Deploying and Managing Models in Microsoft Azure

  • by Axel Sirota
  • 1h 44m Duration
  •  (11)

Build Machine Learning Models with Azure Machine Learning Designer

  • by Dayo Bamikole
  • 1h 9m Duration
  •  (25)

Model Optimization and Management

Finally, this section of the skill addresses operational aspects of your data models, such as deploying them for use in Microsoft Azure, monitoring and evaluating their effectiveness, and communicating their insights back to the business.

Create and Publish Pipelines for Batch Inferencing with Azure

  • by Kishan Iyer
  • 2h 44m Duration

Build Optimal Models with Azure Automated ML

  • by Axel Sirota
  • 1h 15m Duration

Learn with the best

Axel Sirota
Axel Sirota
Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O'Reilly Media.
Janani Ravi
Janani Ravi
Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing ... more
Dayo Bamikole
Dayo Bamikole
Dayo is a Technology Specialist with expertise in Cloud Data Solutions, Artificial intelligence, and Web Development. Dayo has traveled around the United States delivering workshops on technical services in the workplace, in over 35 states, as well as Europe. The audience for these workshops varies from Database Administrators to Software Developers. Ifedayo holds several certifications in Azure, such as: Azure Data Engineer, Azure Data Scientist, Azure AI Engineer, Google Cloud Fundamentals and... more
Kishan Iyer
Kishan Iyer
I have a Masters in Computer Science from Columbia University and have worked previously as a developer and DevOps engineer. I now work at Loonycorn which is a studio for high-quality video content. My interests lie in the broad categories of Big Data, ML and Cloud.

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