# 🚀 Getting Started Tutorials

> 👋 **IMPORTANT** – Environment Setup
>
> - If you haven't already, follow the instructions in the [README](../../README.md) to install the necessary dependencies.
>
> - You may need to restart your notebook's kernel after setting up the environment.
>
> - In these notebooks, we assume you have a self-hosted instance of Data Designer up and running.
>
> - For deployment instructions, see the [Installation Options](https://docs.nvidia.com/nemo/microservices/latest/design-synthetic-data-from-scratch-or-seeds/index.html#installation-options) section of the [NeMo Data Designer documentation](https://docs.nvidia.com/nemo/microservices/latest/design-synthetic-data-from-scratch-or-seeds/index.html).

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| Notebook                                          | Description                                                                      |
|---------------------------------------------------|----------------------------------------------------------------------------------|
| [1-the-basics.ipynb](./1-the-basics.ipynb) | Learn the basics of Data Designer by generating a simple product review dataset |
| [2-structured-outputs-and-jinja-expressions.ipynb](./2-structured-outputs-and-jinja-expressions.ipynb) | Explore advanced data generation using structured outputs and Jinja expressions |
| [3-seeding-with-a-dataset.ipynb](./3-seeding-with-a-dataset.ipynb) | Discover how to seed synthetic data generation with an external dataset         |
