How to connect Lessonspace and Google Vertex AI
Create a New Scenario to Connect Lessonspace and Google Vertex AI
In the workspace, click the “Create New Scenario” button.

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

Add the Lessonspace Node
Select the Lessonspace node from the app selection panel on the right.

Lessonspace
Configure the Lessonspace
Click on the Lessonspace node to configure it. You can modify the Lessonspace URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Vertex AI Node
Next, click the plus (+) icon on the Lessonspace node, select Google Vertex AI from the list of available apps, and choose the action you need from the list of nodes within Google Vertex AI.

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Authenticate Google Vertex AI
Now, click the Google Vertex AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Vertex AI settings. Authentication allows you to use Google Vertex AI through Latenode.
Configure the Lessonspace and Google Vertex AI Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Lessonspace and Google Vertex AI Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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AI Anthropic Claude 3
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Google Vertex AI
Trigger on Webhook
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Save and Activate the Scenario
After configuring Lessonspace, Google Vertex AI, 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.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Lessonspace and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Lessonspace and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Lessonspace and Google Vertex AI
Lessonspace + Google Vertex AI + Slack: When a new message is posted in a Lessonspace session, the content of the message is sent to Google Vertex AI (Gemini) for analysis. The summarized analysis is then sent to a designated Slack channel for teacher review.
Lessonspace + Google Vertex AI + Google Sheets: Use AI to analyze the content of a Lessonspace session (using Gemini) and store the result, such as sentiment score or keywords extracted, into a Google Sheet.
Lessonspace and Google Vertex AI integration alternatives
About Lessonspace
Automate Lessonspace session management inside Latenode. Trigger meetings based on CRM data, automatically create follow-up tasks, and log attendance. Integrate with billing and email systems for a seamless user experience. Using Latenode, you reduce manual admin and create workflows that connect learning platforms with other key business tools, scaling onboarding and education efforts.
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About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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FAQ Lessonspace and Google Vertex AI
How can I connect my Lessonspace account to Google Vertex AI using Latenode?
To connect your Lessonspace account to Google Vertex AI on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Lessonspace and click on "Connect".
- Authenticate your Lessonspace and Google Vertex AI accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize Lessonspace session transcripts with AI?
Yes, you can! Latenode lets you trigger Google Vertex AI from Lessonspace events. Get summaries delivered instantly via email, enhancing post-session review and analysis.
What types of tasks can I perform by integrating Lessonspace with Google Vertex AI?
Integrating Lessonspace with Google Vertex AI allows you to perform various tasks, including:
- Analyzing student sentiment during online tutoring sessions.
- Generating personalized learning plans based on session performance.
- Automatically translating session transcripts into multiple languages.
- Creating summaries of key concepts discussed in each Lessonspace session.
- Identifying areas where students need additional support using AI analysis.
How does Latenode handle real-time data from Lessonspace?
Latenode provides robust data handling, including real-time triggers from Lessonspace, enabling immediate actions with Google Vertex AI or other connected apps.
Are there any limitations to the Lessonspace and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large audio files may require longer processing times with Google Vertex AI.
- The accuracy of AI analysis depends on the quality of the Lessonspace session recording.
- Custom model training within Google Vertex AI requires a separate Google Cloud subscription.