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Designing and Implementing a Data Science Solution on Azure

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.
Audience profile
This course is designed 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 Prerequisites

Before attending this course, students must have:

  • A 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.

Please note: In order to access the Azure labs for this course you will need to have a Microsoft Outlook account that has/will not be used to associate with any other corporate Azure subscription. You can set up a new Outlook account here

Designing and Implementing a Data Science Solution on Azure Key Facts
Course Duration (days)

3.00

Course Price (ex VAT)

£1795.00

Course Vendor

Microsoft

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