Deepgram and LearnDash Integration

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Automatically transcribe course videos with Deepgram and upload them to LearnDash. Customize transcript formats with JavaScript blocks in Latenode, and cut costs with usage-based pricing when scaling your educational content.

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Deepgram

LearnDash

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Deepgram and LearnDash

Create a New Scenario to Connect Deepgram and LearnDash

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Deepgram, triggered by another scenario, or executed manually (for testing purposes). In most cases, Deepgram or LearnDash will be your first step. To do this, click "Choose an app," find Deepgram or LearnDash, and select the appropriate trigger to start the scenario.

Add the Deepgram Node

Select the Deepgram node from the app selection panel on the right.

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Deepgram

Configure the Deepgram

Click on the Deepgram node to configure it. You can modify the Deepgram URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Connect Deepgram

Sign In

Run node once

Add the LearnDash Node

Next, click the plus (+) icon on the Deepgram node, select LearnDash from the list of available apps, and choose the action you need from the list of nodes within LearnDash.

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LearnDash

Authenticate LearnDash

Now, click the LearnDash node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your LearnDash settings. Authentication allows you to use LearnDash through Latenode.

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Configure the Deepgram and LearnDash Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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LearnDash Oauth 2.0

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Select an action *

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The action ID

Run node once

Set Up the Deepgram and LearnDash Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Deepgram, LearnDash, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Deepgram and LearnDash integration works as expected. Depending on your setup, data should flow between Deepgram and LearnDash (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Deepgram and LearnDash

Deepgram + LearnDash + Slack: When a prerecorded webinar audio file is available via URL, Deepgram transcribes it. The transcription is then used to update course content in LearnDash, and a notification is sent to students in Slack.

Zoom + Deepgram + LearnDash: When a Zoom recording is completed, Deepgram transcribes the audio from the recording. The transcription is then used to automatically create course materials in LearnDash.

Deepgram and LearnDash integration alternatives

About Deepgram

Need to transcribe audio/video inside your Latenode automations? Deepgram offers fast, accurate speech-to-text. Connect it to your workflows for automated meeting summaries, content analysis, or customer support monitoring. Fine-tune results with custom vocabularies, all within Latenode's visual interface and code blocks.

About LearnDash

Automate LearnDash course management in Latenode. Enroll users automatically, send progress updates, and trigger actions in other apps based on course completion. Keep student data in sync with your CRM and marketing tools. Build custom learning paths visually; scale processes without code or per-step fees.

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See how Latenode works

FAQ Deepgram and LearnDash

How can I connect my Deepgram account to LearnDash using Latenode?

To connect your Deepgram account to LearnDash on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Deepgram and click on "Connect".
  • Authenticate your Deepgram and LearnDash accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically grade spoken responses in LearnDash courses?

Yes, use Deepgram to transcribe audio, then Latenode's AI tools to assess responses. Get faster feedback, improved grading accuracy, and personalized learning paths.

What types of tasks can I perform by integrating Deepgram with LearnDash?

Integrating Deepgram with LearnDash allows you to perform various tasks, including:

  • Transcribing audio submissions for automated grading and feedback.
  • Generating subtitles for video lectures to improve accessibility.
  • Analyzing spoken content in courses for keyword extraction and topic modeling.
  • Automatically creating summaries of audio-based student assignments.
  • Triggering LearnDash actions based on spoken words or phrases detected by Deepgram.

Can Deepgram transcriptions trigger LearnDash course completion?

Yes! Latenode enables this with no-code logic. Automatically mark courses complete when Deepgram detects specific spoken phrases during a lesson.

Are there any limitations to the Deepgram and LearnDash integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex grading logic may require custom JavaScript code within Latenode.
  • Very long audio files may impact workflow execution speed and resource usage.
  • Real-time transcription feedback is subject to Deepgram's API latency.

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