This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
In this hands-on workshop, you’ll cover a series of modules that guide you in understanding how to integrate DevOps (Developer Operations) and the Team Data Science Process. You’ll learn how to work through a real-world DevOps and TDSP scenario using Microsoft Azure Machine Learning Services along with other Microsoft technologies. You'll learn how to modify the solution we create in the class solution for implementations in your own scenarios.
This course is designed to take approximately one day.
You’ll need a laptop that you can install software on, a Microsoft Azure account, experience with Machine Learning and Programming, along with several other pre-requisites. See the “README.md” file in the “Students” folder for a full list prior to taking this course.
Important – These pre-requisites are essential to have *before* you attempt this class. Many concepts will not be covered that are essential to have as a background for this material.
If these pre-requisites are new to you, there is a complete Learning Path in the “Instructions” folder called “Learning Path - Devops for Data Science.md” that you can use to learn these technologies and processes. You should be able to complete all tasks in that Learning Path prior to attending this course.
NOTE: Much of the setup must be accomplished prior to class. See the “README.md” file in the “Students” folder for these requirements.
This project contains three folders:
Materials needed to teach or prepare for this course are stored here.
All source training materials, PowerPoint files, and other teaching resources are located here.
Pre-Requisites, Student Workbooks, Resource files, Data Sources and other student assets are located here.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
Copyright (c) Microsoft Corporation. All rights reserved. Licensed under the MIT License.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.