> For the complete documentation index, see [llms.txt](https://docs.karini.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.karini.ai/agentic-ai-workshops/partner-labs.md).

# Partner Labs

Hands-on labs that build agents on Karini AI together with partner platforms, starting with Teradata Vantage.

Enterprise data rarely lives in one place, and the best place to run an AI agent is often right next to the data it needs. These labs show Karini AI working alongside partner platforms, so agents query data where it already lives, combine it with knowledge from other sources, and answer in one conversation, without copying data out first.

## The Labs

| Lab                                                                                                      | What you build                                                                                                     | Partner          | Time         |
| -------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------ | ---------------- | ------------ |
| [Teradata Agent Builder Workshop](/agentic-ai-workshops/partner-labs/teradata-agent-builder-workshop.md) | A portfolio advisor copilot that queries client portfolios in Teradata and checks them against SEC and FINRA rules | Teradata Vantage | 60 to 75 min |

## What You Will Learn

* Connect an agent to a partner data platform through a catalog and MCP (Model Context Protocol)
* Push query execution down to the partner database instead of moving the data
* Combine structured partner data with a knowledge base in a single answer

## Before You Begin

* A Karini AI account, set up by your Karini AI representative
* Access to the partner platform, with credentials provided by your instructor

New to Karini AI? Start with the [AI Foundation Labs](/agentic-ai-workshops/ai-foundation-labs.md) to learn the core patterns these labs build on.