Courses

Welcome to the Nabrio learning hub. This page acts as a learning map, not a place that holds all the content itself. It shows where you should begin, what to learn next, and where to find the full documentation for each product.

If you're new to Nabrio and want an overview of what to install, where to start, and what to learn next, you can begin right here.

What is the Nabrio Platform?

Nabrio is made up of core products that work together, covering everything from preparing data and training models to putting AI to work in the real world.

The two products are designed to work together. You can train a model in Reva, export it as a Nabrio Model (NAM) file, and then deploy that model in Nara.

That said, you don't always need both. Understanding how the two connect will help you choose the starting point that best fits your work.

Before you begin

Before starting a course, check that your device is supported and that you've installed the required software.

Where should I start?

Choose a learning path based on what you want to do.

• You want to train your own model — prepare a dataset, annotate it, train a model, and export it
  → Start with Reva, then continue to Nara to put the model to use.

• You want to build an application — connect a camera, detect objects, build a flow, or design a dashboard
  → Start with Nara right away. You can use the models built into the system or prebuilt models, without needing Reva first.

• You want to understand the whole platform
  → We recommend starting with the Reva path, then the Nara path, to learn the full process from preparing data and training models to putting AI to work.

The complete path: from data to deployment

The diagram below shows how Reva and Nara work together, from preparing data all the way to putting the system to work.

If you want to learn how the platform works end to end, the main path is to train a model in Reva and then use that model in Nara.

1. Prepare your data in Reva — create a dataset, annotate it, and manage its versions.
2. Train a model in Reva — start training and review the results.
3. Export the model — export it as a Nabrio Model (NAM) file.
4. Deploy it in Nara — bring the model into a flow to run detection on live input.
5. Build the application — add a dashboard and connect to machines or processes on site.

For steps 1–3, follow the Reva learning path below, then continue with the Nara learning path for steps 4–5.

Reva learning path

Train models, from installation to your first successfully trained model.

Level: Beginner · Estimated time: about 1 hour for the Quick Start (times are approximate)

Nara learning path

Build and deploy real applications, from the basics to advanced flows.

Level: Beginner → Intermediate · Estimated time: Quick Start ~30 min · Basic Course ~2–3 hours · Intermediate Course ~2 hours (times are approximate)

What next?

Once you've finished the paths above, these references will help you go deeper as you build.