Connect Teach 'n Go and BigML
Integrate Teach 'n Go with BigML to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Popular Teach 'n Go + BigML flows
Start from a real workflow other teams are already running.
Choose a trigger
Teach 'n Go
When this happens...
- Request a new Trigger for Teach 'n Go
Choose an action
BigML
Automatically do this!
Create Anomaly Score
Create Centroid
Create Prediction
Find Resource
List Sources
List Datasets
List Sample
List Model
List Time Series
List Evaluations
List OptiMLs
List Clusters
List Anomaly Detectors
List Predictions
List Batch Predictions
List Forecasts
List Anomaly Scores
List Batch Anomaly Scores
List Topic Distributions
List Batch Topic Distributions
List Projections
List Batch Projections
List Scripts
List Executions
Get Student List from Teach 'n Go when New Resource in Bigml
Use this flowGet Prospect List in Teachngo when New Resource in Bigml
Use this flowGet Course List in Teachngo when New Resource in Bigml
Use this flowGet Student Attendance in Teachngo when New Resource in Bigml
Use this flowGet Student Behaviours from Teach 'n Go when New Resource in Bigml
Use this flowGet Receipts from Teach 'n Go when New Resource in Bigml
Use this flowCreate Prospect in Teachngo when New Resource in Bigml
Use this flowEnroll Prospect in Lesson in Teachngo when New Resource in Bigml
Use this flowGet Student Behaviours By ID in Teachngo when New Resource in Bigml
Use this flowSupported Triggers & Actions
Everything you can automate between Teach 'n Go and BigML.
When this happensTriggers
A trigger is an event that starts a workflow.
New Resource
Triggers when a new resource is created
Do thisActions
Action is the task that follows automatically within your Teach 'n Go integrations.
Get Student List
Retrieve all the students.
Get Prospect List
Fetch all prospective students and their details.
Get Course List
Fetch all available courses in your school.
Get Student Attendance
Fetch all attendance records for students.
Get Student Behaviours
Fetch all behaviour logs associated with students.
Get Receipts
Fetch all the receipts.
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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From idea to automation.
AI will build it for you
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.
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About Teach 'n Go
TeachnGo is an innovative platform designed to enhance the educational experience by providing tools and resources for both educators and learners. It offers a comprehensive suite of features that facilitate online learning, course management, and student engagement, making it an ideal solution for educational institutions and independent educators looking to streamline their teaching processes.
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About BigML
BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.
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Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your Teach 'n Go and BigML accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Teach 'n Go and BigML as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach BigML. No coding required.
Yes. You can set up a workflow where Teach 'n Go triggers actions in BigML, and a separate workflow where BigML triggers actions in Teach 'n Go. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Teach 'n Go and BigML. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Teach 'n Go and BigML integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
