# Getting Started

- [Welcome to ZenML](https://docs.zenml.io/getting-started/introduction.md): Discover resources to build, deploy, and scale your ML pipelines with ZenML.
- [Installation](https://docs.zenml.io/getting-started/installation.md): Installing ZenML and getting started.
- [Hello World](https://docs.zenml.io/getting-started/hello-world.md): Your first ML pipeline with ZenML - from local development to cloud deployment in minutes.
- [Your First AI Pipeline](https://docs.zenml.io/getting-started/your-first-ai-pipeline.md): Choose your path and build your first pipeline with ZenML in minutes.
- [Core Concepts](https://docs.zenml.io/getting-started/core-concepts.md): Discovering the core concepts behind ZenML.
- [System Architecture](https://docs.zenml.io/getting-started/system-architectures.md): Different variations of the ZenML architecture depending on your needs.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.zenml.io/getting-started.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.