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Getting Started with WEDA

Note:

WEDA handles non-differentiating foundational engineering work, letting developers focus on AI innovation and algorithms—enabling rapid iteration and faster time-to-market.

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.

Prerequisites​

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

  • A WEDA user account with access to the WEDA platform.
  • 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.

Notice​

  • When you use Postman to test the APIs, make sure to include the full API path format: https://{domain}/{tenantPath}/weda/api/v1/...
  • Import the WEDA API collection into Postman to get pre-configured API requests and environment variables for seamless testing.
  • Please fill the environment variables: {login} and {password} in Postman with the correct values before sending API requests. You should have received the login credentials in the welcome email after your WEDA account is created.

Context​

In WEDA, all Devices belong to an Organization.

A stack configuration is a collection of software components (defined in a docker-compose.yml file) that can be deployed to a device. A stack revision is a specific version of that configuration. You can deploy a stack revision to run your AI application on the edge device.

How to Get Your Application Container​

You have two options:

  1. Use ready-made containers from the Advantech Container Catalog — open-source AI applications ready-to-use.
  2. Bring your own Docker image — develop your custom AI application, package it as a Docker image, and deploy it via WEDA

The Basic Workflow​

Create Organization → Register Device → Deploy Container Stack

That's it! This tutorial walks you through these three steps to get your first AI application running on an edge device.

Topics​

  1. Onboard Your Device: onboard your edge device to the WEDA platform.
  2. Ready AI in your device: run ready-to-dev AI containers on your edge device.
Last updated on Apr-8, 2026 | Version 1.0.0

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