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Machine Learning Solution with Microsoft Azure Databricks The Data Tech Logo Whole long logo 1536x485 1

Machine Learning Solution with Microsoft Azure Databricks

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Course Outline

Machine Learning Solution with Microsoft Azure Databricks

Course Content

Module 1: Getting Started with Azure Machine Learning In this module, you will learn how to provision an Azure Machine Learning workspace and use it to manage machine learning assets such as data, compute, model training code, logged metrics, and trained models. You will learn how to use the web-based Azure Machine Learning studio interface as well as the Azure Machine Learning SDK and developer tools like Visual Studio Code and Jupyter Notebooks to work with the assets in your workspace

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

Prerequisites

1) Creating cloud resources in Microsoft Azure
2) Using Python to explore and visualize data
3) Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow

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