Connect AgentX and Coursera: Data Science Specialization to Build Intelligent Automations
Choose a Trigger
When this happens...
New conversation arrives
Get recent messages
Get recent agents
Fetch recent agent messages
Choose an Action
Automatically do this!
- Request a new Action for Coursera: Data Science Specialization
Enable Integrations or automations with these events of AgentX and Coursera: Data Science Specialization
Enable Integrations or automations with these events of AgentX and Coursera: Data Science Specialization
Triggers
New conversation arrives
Start a workflow for each new conversation received by the selected AgentX agent.
Get recent messages
Retrieves messages from the selected conversation posted in the last few minutes.
Get recent agents
Returns agents created within the selected time window, newest first.
Fetch recent agent messages
Retrieve the agent's messages from the selected conversation that were sent recently.
Actions
Start a conversation
Create a new chat with the selected agent so you can send messages and get responses.
Send message to agent
Start a conversation with the selected agent and send your initial message.
Send a message
Send a message from the chosen Agent into an existing conversation so the Agent can reply.
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Frequently Asked Questions
To start, connect both your AgentX and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in AgentX triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how AgentX 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 AgentX 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 AgentX 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 AgentX
AgentX is a versatile platform designed to streamline and enhance your workflow with powerful automation and integration capabilities.
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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