How to connect Google Vertex AI and Lessonspace
Create a New Scenario to Connect Google Vertex AI and Lessonspace
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 Google Vertex AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Vertex AI or Lessonspace will be your first step. To do this, click "Choose an app," find Google Vertex AI or Lessonspace, and select the appropriate trigger to start the scenario.

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

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

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Authenticate Lessonspace
Now, click the Lessonspace node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Lessonspace settings. Authentication allows you to use Lessonspace through Latenode.
Configure the Google Vertex AI and Lessonspace 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 Google Vertex AI and Lessonspace 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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Save and Activate the Scenario
After configuring Google Vertex AI, Lessonspace, 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 Google Vertex AI and Lessonspace integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Lessonspace (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and Lessonspace
Lessonspace + Google Vertex AI + Google Calendar: When a Lessonspace session ends, the content of the session is sent to Google Vertex AI to generate a summary. A Google Calendar event is then created as a reminder for students to review the summarized content.
Lessonspace + Google Vertex AI + Notion: When a Lessonspace session ends, the transcript or chat log is sent to Google Vertex AI to analyze student questions and identify common themes. These themes are then logged as new records in a Notion database for curriculum improvement.
Google Vertex AI and Lessonspace integration alternatives
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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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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FAQ Google Vertex AI and Lessonspace
How can I connect my Google Vertex AI account to Lessonspace using Latenode?
To connect your Google Vertex AI account to Lessonspace on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and Lessonspace accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically summarize Lessonspace transcripts using Vertex AI?
Yes, you can! Latenode lets you build a no-code workflow to extract Lessonspace transcripts, feed them to Vertex AI for summarization, and save the summaries automatically.
What types of tasks can I perform by integrating Google Vertex AI with Lessonspace?
Integrating Google Vertex AI with Lessonspace allows you to perform various tasks, including:
- Generate summaries of online lessons using AI.
- Analyze student questions for common themes.
- Create personalized learning recommendations.
- Automate feedback based on lesson performance.
- Archive lesson data with AI-powered insights.
Can I use custom Vertex AI models within my Latenode Lessonspace workflows?
Yes, Latenode's flexible platform allows you to integrate your own trained Google Vertex AI models into any Lessonspace automation for bespoke AI solutions.
Are there any limitations to the Google Vertex AI and Lessonspace integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex Vertex AI model deployments may require advanced Latenode knowledge.
- Large Lessonspace data volumes can impact workflow execution time.
- Real-time integration may be subject to API rate limits.