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Learning Path – Microsoft DP-100 – Designing and Implementing a Data Science Solution on Azure

 

Learning Path Microsoft DP-100

 

Candidates for this exam should have subject matter expertise applying data science and machine learning to implement and run machine learning workloads on Microsoft Azure.

Responsibilities for this role include planning and creating a suitable working environment for data science workloads on Azure. They run data experiments and train predictive models. In addition, they manage, optimize, and deploy machine learning models into production.

A candidate for this certification should have knowledge and experience in data science and using Azure Machine Learning and Azure Databricks.

You may be eligible for ACE college credit if you pass this certification exam. See ACE college credit for certification exams for details.

Exam details on the Microsoft website can be found HERE.


Skills measured:

  • Manage Azure resources for machine learning (25–30%)
  • Run experiments and train models (20–25%)
  • Deploy and operationalize machine learning solutions (35–40%)
  • Implement responsible machine learning (5–10%)

 

 


Manage Azure resources for machine learning (25–30%)
Suggested training materials

 

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

  • Link to entire course
  • Link to Module 1 Getting Started with Azure Machine Learning
  • Link to Module 2 Visual Tools for Machine Learning

 


Run experiments and train models (20–25%)
Suggested training materials

 


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

  • Link to entire course
  • Link to Module 3 Running Experiments and Training Models
  • Link to Module 4 Working with Data

 


Deploy and manage Azure compute resources (20-25%)
Suggested training materials

 

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

  • Link to entire course
  • Link to Module 5 Working with Compute
  • Link to Module 6 Orchestrating Machine Learning Workflows
  • Link to Module 7 Deploying and Consuming Models

  


Implement responsible machine learning (5–10%)
Suggested training materials

 

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

  • Link to entire course
  • Link to Module 8 Training Optimal Models
  • Link to Module 9 Responsible Machine Learning
  • Link to Module 10 Monitoring Models

 


Practice Exams Microsoft DP-100

 

 

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