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Azure Machine Learning Engineering

You're reading from   Azure Machine Learning Engineering Deploy, fine-tune, and optimize ML models using Microsoft Azure

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781803239309
Length 362 pages
Edition 1st Edition
Tools
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Authors (4):
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Balamurugan Balakreshnan Balamurugan Balakreshnan
Author Profile Icon Balamurugan Balakreshnan
Balamurugan Balakreshnan
Dennis Michael Sawyers Dennis Michael Sawyers
Author Profile Icon Dennis Michael Sawyers
Dennis Michael Sawyers
Sina Fakhraee Ph.D Sina Fakhraee Ph.D
Author Profile Icon Sina Fakhraee Ph.D
Sina Fakhraee Ph.D
Megan Masanz Megan Masanz
Author Profile Icon Megan Masanz
Megan Masanz
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Training and Tuning Models with the Azure Machine Learning Service
2. Chapter 1: Introducing the Azure Machine Learning Service FREE CHAPTER 3. Chapter 2: Working with Data in AMLS 4. Chapter 3: Training Machine Learning Models in AMLS 5. Chapter 4: Tuning Your Models with AMLS 6. Chapter 5: Azure Automated Machine Learning 7. Part 2: Deploying and Explaining Models in AMLS
8. Chapter 6: Deploying ML Models for Real-Time Inferencing 9. Chapter 7: Deploying ML Models for Batch Scoring 10. Chapter 8: Responsible AI 11. Chapter 9: Productionizing Your Workload with MLOps 12. Part 3: Productionizing Your Workload with MLOps
13. Chapter 10: Using Deep Learning in Azure Machine Learning 14. Chapter 11: Using Distributed Training in AMLS 15. Index 16. Other Books You May Enjoy

Running an Azure DevOps pipeline

We will start this section by creating an Azure DevOps pipeline. Your Azure DevOps pipeline will be kicked off any time you make a change to your code and push it to the main branch:

  1. Inside Azure DevOps on the left-hand pane, select Pipelines and you will see the following screen:
Figure 9.59 – Creating your first Azure DevOps Pipeline

Figure 9.59 – Creating your first Azure DevOps Pipeline

  1. Click on the Create Pipeline button to begin the process, which will bring up the following window:
Figure 9.60 – Selecting where your code is located

Figure 9.60 – Selecting where your code is located

  1. In the previous section, Preparing your MLOps environment, you placed your code into a code repository in Azure DevOps. Select the Azure Repos Git option from the preceding screenshot and this will ask you to select your repository, as shown in the following screenshot. Select your mlops repository here.
Figure 9.61 – Selecting your repository

Figure 9.61 – Selecting your repository...

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