Connect Play AI and Coursera: Data Science Specialization to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Play AI
Choose an Action
Automatically do this!
- Request a new Action for Coursera: Data Science Specialization
Enable Integrations or automations with these events of Play AI and Coursera: Data Science Specialization
Enable Integrations or automations with these events of Play AI and Coursera: Data Science Specialization
Actions
Create Agent
Create a new PlayAI Agent.
Update Agent
Updates the properties of the agent with the specified ID.
Create External Function
Use this endpoint to create new external functions.
Update External Function
Updates the properties of the external function with the specified ID.
Delete External Function
Delete external function with the specified ID.
Create PlayNote
Create a new PlayNote by providing a file URL.
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- Send for Approval acceptCreate Entry of expensesAdd Step
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Frequently Asked Questions
To start, connect both your Play AI and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Play AI triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Play AI data is recorded in Coursera: Data Science Specialization. This includes choosing which data fields go into which fields of Coursera: Data Science Specialization, setting up custom formats, and filtering out unwanted information.
The data sync between Play AI and Coursera: Data Science Specialization 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 Play AI and Coursera: Data Science Specialization. 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.
About Play AI
Play AI is a cutting-edge platform that leverages artificial intelligence to enhance gaming experiences. It offers tools and solutions for game developers to integrate AI-driven features, such as adaptive gameplay, intelligent NPCs, and personalized player experiences, into their games. With Play AI, developers can create more engaging and dynamic games that respond to player actions in real-time.
Learn MoreAbout Coursera: Data Science Specialization
Master the art of data science with Coursera’s Data Science Specialization, created by Johns Hopkins University. This program guides you through the full data science pipeline—from data wrangling and statistical analysis to machine learning and data visualization—using R and real-world projects.
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