Microsoft Azure Data Scientist (DP-100) (AZUR 0100)

In this instructor-led training, you will learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

This course prepares you to write the Microsoft Certification Exam DP-100: Designing and Implementing a Data Science Solution on Azure

This course is ideal for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.
Course code: AZUR 0100
Credits: 0.0
Length: 24.0 hours
Course outline: view https://www.vcc.ca/vccphp/courseoutline?subject=AZUR&number=0100
Campus: Varies Varies

Prerequisites

Highly recommended:

Fundamental knowledge of Microsoft Azure

Experience of writing Python code to work with data, using libraries such as Numpy, Pandas, and Matplotlib.

Understanding of data science; including how to prepare data, and train machine learning models using common machine learning libraries such as Scikit-Learn, PyTorch, or Tensorflow.


Optional:
Microsoft Azure Fundamentals (AZ-900) course
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† This information is intended as a guideline only. Program and course details are subject to change with the approval of VCC's Board of Governors.