> For the complete documentation index, see [llms.txt](https://docs-v3.activeloop.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs-v3.activeloop.ai/v3.0.x/storage-and-credentials/managed-credentials.md).

# Managed Credentials

## Managing your Credentials with Activeloop

### Connecting Deep Lake Datasets to Activeloop Platform

Datasets in Activeloop storage are automatically connected to [Activeloop Platform](https://app.activeloop.ai/). Datasets in non-Activeloop storage (S3, GCS) can be connected to Activeloop Platform using the UI below.

**It's is also necessary to** [**enable CORS**](/v3.0.x/storage-and-credentials/managed-credentials/enabling-cors.md) **in the bucket containing any source data.**

{% embed url="<https://www.loom.com/share/1bc7a52dd1604d89b88d0a3643a6af54>" %}

Once connected, datasets can be loaded in the Python API using their Deep Lake path or their cloud path:

* Using the Deep Lake path (`hub://org_name/dataset_name`) will automatically load the managed credentials required to authenticate with the cloud storage provider.
* Using the cloud path (`s3://bucket/...)`will require the user to specify credentials using the [API here](/v3.0.x/storage-and-credentials/storage-options.md).

### Managed Credentials UI

All managed credentials that are used by Deep Lake and Activeloop Platform can be added, renamed, edited, or deleted via the UI below:

{% embed url="<https://www.loom.com/share/36fdc1120fe1498d91236a6cb70df1e0>" %}


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