Tutorials Overview | NVIDIA NeMo Data Designer

These tutorials walk through Data Designer end-to-end with executable Jupyter notebooks. Each one runs in Google Colab — no local setup required.

Notebook	What you learn
The Basics	Declare columns, generate your first dataset
Structured Outputs, Jinja Expressions, and Conditional Generation	Schema-constrained outputs and dynamic prompts
Seeding with an External Dataset	Use existing data as input for generation
Providing Images as Context	Multimodal prompts with image inputs, plus the media-context pattern for models that support audio or video
Generating Images	Create image columns from text prompts
Image-to-Image Editing	Edit images using image context