Prerequisites & Basics

You can complete this getting started tutorial to learn the basic features of WEDA. In this tutorial, you will:

1. Install and configure the WEDA software framework on an Edge device, such as an Advantech Edge AI Gateway or industrial PC.
2. Deploy and manage your AI application on the edge device using WEDA's deployment tools.

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Prerequisites

Make sure you have the following prerequisites before starting the tutorial:

• A WEDA user account with access to the WEDA platform. If you do not have one, please fill out the request form at here.
• An edge device (e.g., Advantech Edge AI Gateway or industrial PC) with WEDA Node support.
• API Tool: Postman.
• WEDA API Collection: Download the WEDA API collection from here and import it into Postman.

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API Setup

Before testing APIs in Postman, make sure you:

• Import the WEDA API Collection into Postman.
• Fill required environment variables:
  • login: your WEDA account
  • password: your WEDA account password
  • domain: WEDA site domain (for example, https://tpe.cloud.advantech.com)

Optional environment variables (adjust only when needed):

• tenantPath: default is usually central
• appPath: default is usually weda

Example:

Field	Value
domain	https://tpe.cloud.advantech.com
tenantPath	demo
appPath	weda

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Core Concepts for This Tutorial

Before you continue, these are the key concepts used in the next chapters:

• Organization: The logical space that owns and manages your devices.
• Device: The edge node registered under an organization.
• Stack Configuration: A deployable application definition, usually based on a docker-compose.yml file.
• Stack Revision: A version snapshot of a stack configuration that can be deployed to devices.

How to Get Your Application Container

You can prepare your application container in either way:

1. Use Ready-to-Use containers from the Advantech Container Catalog for faster onboarding.
2. Bring your own Docker image by packaging your custom AI application and deploying it through WEDA.

The Basic Workflow

This tutorial uses one common end-to-end flow:

Create Organization -> Register Device -> Deploy Container Stack

This tutorial only covers the most essential features. For detailed capabilities, please refer to the Function Explanation section or the API Hub.

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Topics

1. Onboard Your Device: onboard your edge device to the WEDA platform.
2. Deploy Container to Device: run ready-to-dev AI containers on your edge device.

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Last updated on Apr-8, 2026 | Version 1.0.0