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Azure Data Scientist

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Course Outline

Azure Data Scientist Associate

Course Overview

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.

Who Should Attend

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.
Job role: Data Scientist
Preparation for exam: DP-100
Features: none


Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques.
• Creating cloud resources in Microsoft Azure.
• Using Python to explore and visualize data.

Course Content

  • Module 1: Getting Started with Azure Machine Learning
  • Module 2: Visual Tools for Machine Learning
  • Module 3: Running Experiments and Training Models
  • Module 4: Working with Data
  • Module 5: Working with Compute
  • Module 6: Orchestrating Operations with Pipelines
  • Module 7: Deploying and Consuming Models
  • Module 8: Training Optimal Models
  • Module 9: Responsible Machine Learning
  • Module 10: Monitoring Models

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