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Open the Workshop

Estimated time to read: 3 minutes

Select your workshop experience:

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Self-Guided Learners

These instructions are for self-guided learners who do not have access to a pre-configured lab environment. Follow these steps to set up your environment and begin the workshop.

What you'll learn

In this section, you'll learn:

  • About the workshop prerequisites and how to set up your environment.
  • How to select your preferred programming language for the workshop.
  • How to open the workshop in GitHub Codespaces or a local VS Code Dev Container.

Introduction

This workshop is designed to teach you about the Azure AI Agents Service and the associated SDK. It consists of multiple labs, each highlighting a specific feature of the Azure AI Agents Service. The labs are meant to be completed in order, as each one builds on the knowledge and work from the previous lab.

Prerequisites

  1. Access to an Azure subscription. If you don't have an Azure subscription, create a free account before you begin.
  2. You need a GitHub account. If you don’t have one, create it at GitHub.

Select Workshop Programming Language

The workshop is available in both Python and C#. Use the language selector tabs to choose your preferred language. Note, don't switch languages mid-workshop.

Select the tab for your preferred language:

The default language for the workshop is set to Python.

The default language for the workshop is set to C#.

Open the Workshop

The preferred way to run this workshop is using GitHub Codespaces. This option provides a pre-configured environment with all the tools and resources needed to complete the workshop. Alternatively, you can open the workshop locally using a Visual Studio Code Dev Container.

Select Open in GitHub Codespaces to open the project in GitHub Codespaces.

Open in GitHub Codespaces

Building the Codespace will take several minutes. You can continue reading the instructions while it builds.

Alternatively, you can open the project locally using a Visual Studio Code Dev Container, which will open the project in your local VS Code development environment using the Dev Containers extension.

  1. Start Docker Desktop (install it if not already installed)

  2. Select Dev Containers Open to open the project in a VS Code Dev Container.

    Open in Dev Containers

The process of building the Dev Container, which involves downloading and setting it up on your local system, will take several minutes. During this time, you can continue reading the instructions.