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

# Introduction

> End-to-end fine-tuning walkthrough: connectors, tables, graphs, predictive queries, training

**The Kumo platform makes machine learning on relational data simple, performant, and scalable.** The Kumo SDK exposes an intuitive and composable interface atop the Kumo platform, enabling you to easily integrate Kumo with your existing iteration, testing, and production workflows.

<Info>
  This tutorial is also available as a [Google Colab](https://colab.research.google.com/drive/1WOyMm8gdT1lwrmgRjJUSwb940sn6jUM4?usp=sharing), which you can copy and run end-to-end with your API key.
</Info>

The Fine-Tune SDK workflow follows these steps:

<CardGroup cols={3}>
  <Card title="Setup" icon="screwdriver-wrench" href="/fine-tuning/installation">
    Install the SDK, manage API keys, and configure SPCS.
  </Card>

  <Card title="Data & Graph" icon="database" href="/fine-tuning/connectors">
    Connect data sources, create tables, and build a relational graph.
  </Card>

  <Card title="Training & Serving" icon="chart-line" href="/fine-tuning/predictive-queries">
    Write queries, train models, and deploy for online serving.
  </Card>
</CardGroup>