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Designing and Implementing a Data Science Solution on Azure

confirmed_icon Izvedba potrjena Ne
duration_icon Trajanje (dni) 3
price_icon Cena brez DDV 960,00 €
num_of_hours_icon Število ped. ur 27
difficulty_icon Zahtevnost Osnovni

Predavatelji

Oznaka tečaja: DP100 SATV voucher: Ne

About this course:

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.

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.
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