# Getting started

Prior to starting modeling workflows, ensure you have a high-level understanding of core Foundry concepts, [Code Repositories](../../code-repositories/overview/index.md), [Python transforms](../../transforms-python/overview/index.md), [Ontology](../../ontology/overview/index.md), and [Functions](../../functions/overview/index.md).

If you are new to Foundry, the [supervised learning tutorial](../tutorial-intro/index.md) provides a walkthrough from setting up a new project to deploying a model into production.

Review the [dedicated page](../what-to-use/index.md) to learn more about the considerations involved in choosing the right tool.

## Common model creation workflows

* Train a model with data from the Palantir platform in a Jupyter® [code workspace](../../integrate-models/model-asset-code-workspaces/index.md), [code repository](../../integrate-models/model-asset-code-repositories/index.md), or in a [model studio](../model-studio/index.md) for no-code model training
* [Import model weights and register them as a model](../../integrate-models/model-asset-files/index.md)
* [Import and register a container as a model](../../integrate-models/container-model-adapter-example/index.md)
* [Register an externally hosted model](../../integrate-models/external-model-connection/index.md)

## Deploying a model for inference and consumption

* [Using a model as an input to Python transforms](../../integrate-models/model-asset-code-repositories/index.md#run-inference-in-python-transforms)
* [Using a model in Pipeline Builder](../../pipeline-builder/transforms-trained-model/index.md)
* [Creating a batch deployment in Modeling Objectives](../tutorial-productionize/index.md#42-how-to-create-a-batch-deployment-for-batch-processing) and [evaluating model performance](../../evaluate-models/model-evaluation-automatic/index.md)
* [Configuring a live deployment to serve the model as a REST endpoint](../../manage-models/set-up-live/index.md)

## Registering a model for use in the Ontology

* [Register a live deployment to be used as a function](../functions-on-models/index.md)
* [Use the model function in another function to write custom business logic using model predictions](../../functions/functions-on-models/index.md)