Gemini provides generative AI assistance embedded across
Google Cloud products to help developers and data scientists optimize
their workflows. To build custom generative AI applications using
Gemini foundation models, see
[Overview of Generative AI on Vertex AI](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/overview).

The following table shows the types of generative AI assistance that are
available in Google Cloud, along with links to
product overview information:

| **Product** | **Type of assistance** | **Tasks** |
|---|---|---|
| [Gemini Cloud Assist](https://docs.cloud.google.com/cloud-assist/overview.md.txt) | - Design, optimize, and operate cloud applications. | - Efficiently manage cloud applications. - Create, optimize, and troubleshoot resources quickly. - Manage resource security configurations. |
| [Gemini Code Assist](https://docs.cloud.google.com/gemini/docs/codeassist/overview.md.txt) | - Develop, deploy, and troubleshoot code. | - Generate and debug code, and generate unit tests. - Offer suggestions for code optimization. - Build integrations that connect enterprise applications like Salesforce, databases like MySQL, and event-driven systems like Pub/Sub. |
| [Gemini in BigQuery](https://docs.cloud.google.com/bigquery/docs/gemini-overview.md.txt) | - Prepare and analyze data. | - Discover, transform, query, and visualize data with data canvas. - Explore data patterns, quality, and statistics with data insights. - Generate, complete, and explain SQL and Python code. - Get recommendations to help prepare your data for analysis. |
| [Gemini in Colab Enterprise](https://docs.cloud.google.com/colab/docs/gemini-in-colab/overview.md.txt) | - Generate Python code in a Colab Enterprise notebook. | - Generate code completion suggestions while typing in a code cell. - Generate code by using the **Help me code** tool. |
| [Gemini in Looker](https://docs.cloud.google.com/looker/docs/gemini-overview-looker.md.txt) | - Analyze and export Looker data. | - Create custom Looker visualizations. - Generate LookML modeling parameters. - Ask questions about and converse with your data. - Build a custom data agent. - Create calculated fields. |
| [Gemini in Data Studio](https://docs.cloud.google.com/data-studio/gemini-overview.md.txt) | - Analyze and export Data Studio data. | - Ask questions about and converse with your data. - Build a custom data agent. - Create calculated fields. - Export report visualizations to Google Slides. |

## Gemini AI assistance in other Google products

Gemini AI-powered assistance is also available in
[Google Workspace with Gemini](https://support.google.com/a/answer/13623623).

## What's next

- See the latest enhancements and fixes in [release notes](https://docs.cloud.google.com/gemini/docs/release-notes.md.txt).
- Learn [how Gemini uses your data in Google Cloud](https://docs.cloud.google.com/gemini/docs/discover/data-governance.md.txt).
- Learn about [pricing for Gemini products in Google Cloud](https://cloud.google.com/products/gemini/pricing).
- Learn about [Google Cloud compliance](https://cloud.google.com/security/compliance/).