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Automatically generate and upload engaging course visuals to LearnDash using Fotor's AI, enhancing learning materials effortlessly. Latenode's visual editor makes complex media workflows simple, plus it scales affordably as your courses grow.
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In the workspace, click the “Create New Scenario” button.

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

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

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

Fotor
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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.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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LearnDash
Trigger on Webhook
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Fotor
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Iterator
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Webhook response
After configuring Fotor, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Fotor and LearnDash integration works as expected. Depending on your setup, data should flow between Fotor and LearnDash (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Fotor + Google Drive + LearnDash: When an AI Headshot is generated in Fotor, the resulting image is uploaded to a specific folder in Google Drive. This image can then be easily accessed and linked within LearnDash courses.
LearnDash + Fotor + Canva: When a user completes a course in LearnDash, their photo, potentially edited in Fotor (if available), is uploaded to Canva. Canva then uses a template to generate a certificate with the user's photo, automatically creating personalized completion certificates.
About Fotor
Automate image editing with Fotor in Latenode. Fix, enhance, or batch-process images as part of larger workflows. Great for e-commerce (product shots) or marketing (social media). Instead of manual edits, use Fotor's features inside Latenode and trigger them with events or schedules. Streamline design tasks and maintain brand consistency easily.
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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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How can I connect my Fotor account to LearnDash using Latenode?
To connect your Fotor account to LearnDash on Latenode, follow these steps:
Can I automate course image creation after user signup?
Yes, you can! Latenode lets you trigger Fotor image creation from LearnDash events, like new signups. This automates course personalization and enhances user engagement.
What types of tasks can I perform by integrating Fotor with LearnDash?
Integrating Fotor with LearnDash allows you to perform various tasks, including:
Can I use AI to improve Fotor image outputs inside Latenode workflows?
Yes! Latenode lets you incorporate AI steps that refine Fotor-generated images before using them in LearnDash courses.
Are there any limitations to the Fotor and LearnDash integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: