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Designing and Implementing a Data Science Solution on Azure

Categories Microsoft
Course Duration: 96h
36,960.00

Objectives

  • Using Azure services to develop machine learning solutions
  • Performing data science activities on Azure
  • Understanding of automate machine learning with Azure machine learning
  • Managing and Monitoring machine learning models with Azure machine learning

Prerequisite

  • Candidates who wish to take up the Designing and Implementing a Data Solution on Azure DP-100 certification exam should have a fundamental knowledge of Microsoft Azure.
  • A participant should also be able to write in programming languages such as Python to work with data using various libraries.
  • Basic understanding of data science that include preparing data and train machine learning models using machine learning libraries.

Target Audience

  • Job roles that can take up Designing and Implementing a Data Solution on Azure DP-100 training include, but are not limited to:
  • Data Scientists
  • Machine Learning professionals
  • Professionals who create data solutions for Microsoft Azure
  • Anybody who wants to understand Implementing an Azure Data Solution
  • Professionals who want to clear Designing and Implementing a Data Solution on Azure DP-100 examination

Course Curriculum

Module 1: Introduction to Azure Machine Learning

Module 2: No-Code Machine Learning with Designer

Module 3: Running Experiments and Training Models

Module 4: Working with Data

Module 5: Compute Contexts

Module 6: Orchestrating Operations with Pipelines

Module 7: Deploying and Consuming Models

Module 8: Training Optimal Models

Module 9: Interpreting Models

Module 10: Monitoring Models

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