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

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Overview

Overview

The Azure Data Scientist applies their knowledge of data science and machine learning to implement and run machine learning workloads on Azure; in particular, using Azure Machine Learning Service. This entails planning and creating a suitable working environment for data science workloads on Azure, running data experiments and training predictive models, managing and optimizing models, and deploying machine learning models into production.

Skills Measured

  • Set up an Azure Machine Learning workspace (30-35%)
  • Run experiments and train models (25-30%)
  • Optimize and manage models (20-25%)
  • Deploy and consume models (20-25%)

Getting Started

Getting Started

  1. 11/5/2019, Video, 0:45:00
    This Certification Exam Prep session is designed for people experienced with data science who are interested in taking the DP-100 exam. Attendees of this session can expect to...

Learning Paths

Create no-code predictive models with Azure Machine Learning
Published: 7/16/2020, Length: 3:29:00

Learn how to use Azure Machine Learning to create and publish machine learning models without writing code.

Levels: Beginner

Roles: AI Engineer, Data Scientist

Modules

Create machine learning models
Published: 8/5/2020, Length: 3:18:00

Machine learning is the foundation for predictive modeling and artificial intelligence. Learn some of the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models.

Levels: Intermediate

Roles: Data Scientist

Modules