> ## Documentation Index
> Fetch the complete documentation index at: https://zenml.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Welcome to ZenML!

🤹 Are you an ML engineer or data scientist shipping models to production and juggling a plethora of tools?

🤷‍♂️ Do you struggle with versioning data, code, and models in your projects?

👀 Have you had trouble replicating production pipelines and monitoring models in production?

✅ If you answered yes to any of the above, ZenML is here to help with all that and more...

Everyone loves to train ML models, but few talks about shipping them into production, and even fewer can do it well. At ZenML, we believe the journey from model development to production doesn't need to be long and painful.

With ZenML, you can concentrate on what you do best - developing ML models and not worry about infrastructure or deployment tools.

If you come from unstructured notebooks or scripts with lots of manual processes, ZenML will make the path to production easier and faster for you and your team. Using ZenML allows you to own the entire pipeline - from experimentation to production.

Read more [here](https://blog.zenml.io/why-zenml/).

**ZenML** is an extensible, open-source MLOps framework for creating portable, production-ready **MLOps pipelines**. It's built for data scientists, ML Engineers, and MLOps Developers to collaborate as they develop to production. **ZenML** has simple, flexible syntax, is **cloud-** and **tool-agnostic**, and has interfaces/abstractions that are catered towards ML workflows. ZenML brings together all your favorite tools in one place so you can tailor your workflow to cater your needs.

<Frame caption="ZenML unifies all your tools in one place.">
  ![Before and After
  ZenML](https://mintlify.s3-us-west-1.amazonaws.com/zenml/images/getting-started/sam-side-by-side-full-text.png)
</Frame>

## Directions

Eager to get started? We recommend the following to start using **ZenML** right away:

### New to ZenML?

* Get acquainted with the [Core Concepts](/getting-started/core-concepts) first to understand what makes ZenML so special.
* Jump right into [Starter Guide](/starter-guide/pipelines) to go from zero to hero in no time.
* Tip your toes into the [Practical MLOps](/advanced-guide/practical-mlops) section to see more advanced usage.

### Looking for production use-cases?

* Learn more by reading code? See the [Examples](https://github.com/zenml-io/zenml/blob/release/0.31.1/docs/book/examples/examples-and-use-cases.md) section for various code snippets to get your hand's dirty.
* The [Advanced Guide](/advanced-guide/practical-mlops) is the perfect starting point to start developing your ZenML and MLOps skills.
* Read [Best Practices](/guidelines/best-practices) to learn how to set up ZenML with recommendations from the core team.

### Looking for how to integrate your ML tools?

* See the [Integrations](/component-gallery/integrations) into popular ML tools.
* Read about [Categories of MLOps tools](/component-gallery/categories).

### Need help deploying infrastructure?

* Read about how to [deploy ZenML](/getting-started/deploying-zenml) on any cloud provider.
* [Standard integrations](/component-gallery/integrations) have stack components that come with their own deployment guide.

### **Community** - Be Part of the ZenML Family

Can't find what you're looking for and/or need help? Join our [Slack group](https://zenml.io/slack-invite/). Ask questions about bugs or specific use-cases and get a quick response from the ZenML core team.