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  • DP - 100T01 : Designing and Implementing a Data Science Solution on Azure

The "Designing and Implementing a Data Science Solution on Azure" course focuses on operating machine learning solutions at cloud scale with Azure Machine Learning. It covers managing data ingestion and preparation, model training and deployment, and monitoring machine learning solutions using Microsoft Azure. The course leverages existing knowledge of Python and machine learning to optimize the use of Azure's tools and services.

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( 4.6 Ratings )

Live Online Classes starting on 01 January, 1970

DP - 100T01 : Designing and Implementing a Data Science Solution on Azure

Audience Profile:

This course is aimed at data scientists who have a solid foundation in Python and experience with machine learning frameworks such as Scikit-Learn, PyTorch, and TensorFlow. The course focuses on leveraging Azure to build and manage machine learning solutions in the cloud.

 

Prerequisites:

  • Fundamental knowledge of Microsoft Azure.

  • Experience in writing Python code to work with data using libraries like NumPy, Pandas, and Matplotlib.

  • Understanding of data science, including data preparation and training machine learning models with libraries such as Scikit-Learn, PyTorch, or TensorFlow.

(4.6 Ratings)

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