
When this happens...
New Learner
Course Collection Completed
Course Completed

Automatically do this!
Create a Container Registry
Create a Template
Find a Container Registry Auth
Delete a Container Registry Auth
Delete a Template
Create Registry Authentication
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new learner is added to a collection.
Triggers when a user completes a course collection.
Triggers when a user completes a course.
Action is the task that follows automatically within your Mini Course Generator integrations.
List course collections.
List course
Adds a learner to your course or collection.
Removes a learner from the selected course collections.
Create a new container registry auth
Create a new template.

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To start, connect both your Mini Course Generator and RunPod accounts to viaSocket. Once connected, you can set up a workflow where an event in Mini Course Generator triggers actions in RunPod (or vice versa).
Absolutely. You can customize how Mini Course Generator data is recorded in RunPod. This includes choosing which data fields go into which fields of RunPod, setting up custom formats, and filtering out unwanted information.
The data sync between Mini Course Generator and RunPod typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Mini Course Generator and RunPod. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Easily create & sell courses with Mini Course Generator. Ideal for educators & creators seeking automated ways to boost learner engagement.
Learn MoreRunPod is a platform that provides cloud-based computing resources for running and managing machine learning models, data processing tasks, and other computational workloads. It offers scalable and efficient solutions for developers and data scientists to deploy and execute their projects seamlessly.
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