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Azure Labs
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Run your First Batch Job with the Azure CLI

In this lab, you’ll create your first Batch Pipeline in Azure ML. When you're finished with this lab, you'll be able to orchestrate Batch jobs with ease.

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Labs - Run your First Batch Job with the Azure CLI

Lab info

Level
Beginner
Duration
2h 35m
Released
Jan 31, 2022

Lab author

Lab Author: Axel Sirota
Axel Sirota
Axel Sirota is a Microsoft Certified Trainer with a deep interest in Deep Learning and Machine Learning Operations. He has a Masters degree in Mathematics and after researching in Probability, Statistics and Machine Learning optimisation, he works as an AI and Cloud Consultant as well as being an Author and Instructor at Pluralsight, Develop Intelligence, and O'Reilly Media.
  • Table of contents
  • What's a lab?
  • Prerequisites
Challenge

Publish a Batch Inference Azure ML Pipeline

You will create and publish an Azure ML pipeline for batch inference as a public endpoint.

Challenge

Run Your First Batch Inference Pipeline

You will run your batch pipeline created in the previous challenge.

Challenge

Run Your First Batch Job with the Azure CLI

You will trigger the Batch pipeline job from the Azure CLI.

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Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

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Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

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Did you know?

On average, you retain 75% more of your learning if you get time for practice.

Recommended prerequisites

  • Batch processing
  • Azure ML Pipelines

Start learning by doing today

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With your Pluralsight plan, you can:

With your 30-day pilot, you can:

  • Access thousands of videos to develop critical skills
  • Give up to 10 users access to thousands of video courses
  • Practice and apply skills with interactive courses and projects
  • See skills, usage, and trend data for your teams
  • Prepare for certifications with industry-leading practice exams
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