Azure Data Scientist Associate (DP-100)

Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure’s premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.

OBJECTIVES

Rampup in order to pass for for exam DP-100 ‘Designing and Implementing a Data Science Solution on Azure’. This earns you the cerfication Microsoft Certified: Azure Data Scientist Associate.

AUDIENCE

This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.

PREREQUISITES

Microsoft Azure Fundamentals (AZ-900) or comparable knowledge.
Before attending this course, students must have:

• Azure Fundamentals
• Understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one.
• How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.

TOPICS

• Module 1: Doing Data Science on Azure
  • Introduce the Data Science Process
  • Overview of Azure Data Science Options
  • Introduce Azure Notebooks
• Module 2: Doing Data Science with Azure Machine Learning service
  • Introduce Azure Machine Learning (AML) service
  • Register and deploy ML models with AML service
• Module 3: Automate Machine Learning with Azure Machine Learning service
  • Automate Machine Learning Model Selection
  • Automate Hyperparameter Tuning with HyperDrive
• Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service
  • Manage and Monitor Machine Learning Models

SCHEDULE