You're reading from Azure Data Scientist Associate Certification Guide

Product typeBook

Published inDec 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781800565005

Edition1st Edition

Languages

Python

Tools

Azure Functions

Concepts

Machine Learning

Authors (2):

Andreas Botsikas

Michael Hlobil

View More author details

Deploying Azure ML via the CLI

In this section, you are going to deploy an Azure ML workspace through the Azure CLI. You are going to use the packt-azureml-cli-rg resource group to deploy resources; you are going to use the Bash version of the Azure Cloud Shell that is built in the Azure portal – something that will require no installation on your machine. If you want, you can install the Azure CLI locally by following the installation instructions at https://docs.microsoft.com/cli/azure/install-azure-cli, and skip the provision of the Azure Cloud Shell.

Important note

You are going to use the Azure CLI in the next sections to manage various aspects of the Azure ML workspace. Although the book is going to assume you selected the Azure Cloud Shell, the syntax you will see is applicable for both the Azure Cloud Shell and the Azure CLI running within your local machine.

Deploying Azure Cloud Shell

Azure Cloud Shell is a browser-based shell that allows you to manage...

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Azure Data Scientist Associate Certification Guide

Published in: Dec 2021Publisher: PacktISBN-13: 9781800565005

Authors (2)

Andreas Botsikas

Andreas Botsikas is an experienced advisor working in the software industry. He has worked in the finance sector, leading highly efficient DevOps teams, and architecting and building high-volume transactional systems. He then traveled the world, building AI-infused solutions with a group of engineers and data scientists. Currently, he works as a trusted advisor for customers onboarding into Azure, de-risking and accelerating their cloud journey. He is a strong engineering professional with a Doctor of Philosophy (Ph.D.) in resource optimization with artificial intelligence from the National Technical University of Athens.
Read more about Andreas Botsikas

Michael Hlobil

Michael Hlobil is an experienced architect focused on quickly understanding customers' business needs, with over 25 years of experience in IT pitfalls and successful projects, and is dedicated to creating solutions based on the Microsoft Platform. He has an MBA in Computer Science and Economics (from the Technical University and the University of Vienna) and an MSc (from the ESBA) in Systemic Coaching. He was working on advanced analytics projects in the last decade, including massive parallel systems and Machine Learning systems. He enjoys working with customers and supporting the journey to the cloud.
Read more about Michael Hlobil

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Deploying Azure ML via the CLI

Deploying Azure Cloud Shell

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Authors (2)

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