# Module 4: Deployment

<img src="../img/fern/assets/images/0dadf03-Meor.png" alt="Amer">

Hello! Welcome back!

Now that you’ve learned how to use Cohere’s endpoints to build applications, the next step is to serve these applications so you can have users access them.

Here are the chapters and topics that we’ll cover in this module:

- **[Deploying with Streamlit](/guides/get-started-archive-llm-university-intro-deployment-deploying-with-streamlit)**: Build and deploy an app for generating startup ideas using Streamlit.
- **[Deploying with FastAPI](/guides/get-started-archive-llm-university-intro-deployment-deploying-with-fastapi)**: Build a sentiment analysis classifier and deploy it with FastAPI.
- **[Deploying on Google Sheets with Google Apps Script](/guides/get-started-archive-llm-university-intro-deployment-cohere-google-sheets-apps-script)**: Use Cohere and Google Apps Script to add large language model (LLM) capabilities to Google Sheets documents.
- **[Deploying as a Chrome Extension](/guides/get-started-archive-llm-university-intro-deployment-deploying-with-chrome-extension)**: Create a Google Chrome extension that summarizes the text content of a web page.
- **[Deploying with Databutton](/guides/get-started-archive-llm-university-intro-deployment-deploying-with-databutton)**: Create a topic modeling application using Databutton.
- **[Conclusion](/guides/get-started-archive-llm-university-intro-deployment-deployment-conclusion)**: Recap what you have learned.

## Related pages

- [Changelog](../changelog.md)
- [Cohere](../index.md)
- [Cohere API](./cohere-api-index.md)
- [Cohere Labs](./cohere-labs-index.md)
- [Cohere Platform](./cohere-platform-index.md)
- [Cookbooks](./cookbooks-index.md)
- [Deployment Options](./deployment-options-index.md)
- [Embeddings (Vectors, Search, Retrieval)](./embeddings-vectors-search-retrieval-index.md)
- [Get Started](./get-started-index.md)
- [Going to Production](./going-to-production-index.md)

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