# TalentLMS integrations: courses and branches

> Create a course and create a branch in TalentLMS. Connect TalentLMS to the rest of your human resources stack with Tray.ai.

**Canonical page:** https://tray.ai/connectors/talentlms-integrations/
**Categories:** Human resources
**Connects through:** HTTP Connector

## Overview

TalentLMS is a cloud learning management system for running training, organizing users, courses, groups, and branches with progress tracking and certifications. Tray.ai connects to TalentLMS through the HTTP Connector, so your workflows can call the TalentLMS API alongside the rest of your stack.

## Use cases

### Users

Read, create, update, and delete users in TalentLMS from any Tray.ai workflow. The TalentLMS API covers calls such as list users and get a user.

- List users
- Get a user
- Create a user

### Courses

Read, create, and delete courses in TalentLMS from any Tray.ai workflow. The TalentLMS API covers calls such as list courses and get a course.

- List courses
- Get a course
- Create a course

### Groups

Read, create, and delete groups in TalentLMS from any Tray.ai workflow. The TalentLMS API covers calls such as list groups and create a group.

- List groups
- Create a group
- Delete a group

### Branches

Read, create, and delete branches in TalentLMS from any Tray.ai workflow. The TalentLMS API covers calls such as list branches and create a branch.

- List branches
- Create a branch
- Delete a branch

### Timeline

Read timeline in TalentLMS from any Tray.ai workflow. The TalentLMS API covers calls such as get timeline events and get user certificates.

- Get timeline events
- Get user certificates

## Challenges Tray.ai solves

### Keeping TalentLMS credentials out of logs

A raw API call usually means pasting a key or token into the request, where it ends up in step inputs, logs, and screenshots.

**How Tray.ai helps:** Store TalentLMS credentials once as a Tray.ai authentication and reference them from the HTTP Connector. Tray.ai masks authentication values in logs, so the secret never shows up in a step's input or output.

### Going from the TalentLMS API docs to a working call

Translating an example request from API docs into a workflow step means copying the method, URL, headers, and body by hand.

**How Tray.ai helps:** Paste a cURL example from the TalentLMS API docs into the HTTP Connector and Tray.ai fills in the method, URL, headers, and body for you.

### Handling files and non-JSON responses

Not every API answers in JSON. Some return XML, files, or binary data, or expect a multipart upload.

**How Tray.ai helps:** The HTTP Connector parses JSON and XML responses, returns files you can pass to the next step, and sends multipart form data for uploads.

## Frequently asked questions

### Does Tray.ai connect to TalentLMS?

Yes. Tray.ai connects to TalentLMS through the HTTP Connector, which calls the TalentLMS API directly. Any call the TalentLMS API documents can run as a step in a Tray.ai workflow.

### How does Tray.ai authenticate with TalentLMS?

The TalentLMS API uses an API key in a request header. You save it once as a Tray.ai authentication, and the HTTP Connector adds it to every request.

### Can I get a dedicated TalentLMS connector?

TalentLMS runs through the HTTP Connector rather than a dedicated connector. If your team wants one, the Tray.ai connector SDK can build a dedicated TalentLMS connector from the TalentLMS API.

## Learn more

- Intelligent Integration: https://tray.ai/platform/intelligent-ipaas/
- Merlin Agent Builder: https://tray.ai/platform/merlin-agent-builder/
- Agent Gateway for MCP: https://tray.ai/platform/agent-gateway/
- Book a demo: https://tray.ai/contact/