Setup local lab environment

Ideally, you should complete these labs in a hosted lab environment. If you want to complete them on your own computer, you can do so by installing the following software. You may experience unexpected dialogs and behavior when using your own environment. Due to the wide range of possible local configurations, the course team cannot support issues you may encounter in your own environment.

Azure command-line tools

  1. Azure CLI or Azure Cloud Shell - Install if you want to execute commands via the CLI instead of the Azure portal.

Python

  1. Download and install Python 3.11+ from python.org/downloads with <install location>\Python36 and <install location>\Python36\Scripts added to your PATH.

    • Use the default options in the installer.

Git

  1. Download and install from git-scm.com/downloads.

    • Use the default options in the installer.

Visual Studio Code (and extensions)

  1. Download and install from code.visualstudio.com/download.

    • Use the default options in the installer.

  2. After installation, start Visual Studio Code.

  3. In the Extensions menu, search for and install the following extensions from Microsoft:

Azure Cosmos DB Emulator

  1. Download and install from docs.microsoft.com/azure/cosmos-db/local-emulator.
    • Use the default options in the installer.

Clone the lab repository

If you have not already cloned the lab code repository for Build copilots with Azure Cosmos DB to the environment where you’re working on this lab, follow these steps to do so. Otherwise, open the previously cloned folder in Visual Studio Code.

  1. Start Visual Studio Code.

    📝 If you are not already familiar with the Visual Studio Code interface, review the Get Started guide for Visual Studio Code

  2. Open the command palette and run Git: Clone to clone the https://github.com/solliancenet/microsoft-learning-path-build-copilots-with-cosmos-db-labs GitHub repository in a local folder of your choice.

    💡 You can use the CTRL+SHIFT+P keyboard shortcut to open the command palette.

  3. Once the repository has been cloned, open the local folder you selected in Visual Studio Code.