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Automate Google Classroom with Gemini AI: Topics, assignments & student tracking

Mantaka MahirMantaka Mahir
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2/3/2026
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Automate Google Classroom: Topics, Assignments & Student Tracking

Automate Google Classroom via the Google Classroom API to efficiently manage courses, topics, teachers, students, announcements, and coursework.

Use Cases

Educational Institution Management

Sync rosters, post weekly announcements, and generate submission reports automatically.

Remote Learning Coordination

Batch-create assignments, track engagement, and auto-notify teachers on new submissions.

Training Program Automation

Automate training modules, manage enrollments, and generate completion/compliance reports.

Prerequisites

  • n8n (cloud or self-hosted)
  • Google Cloud Console access for OAuth setup
  • Google Classroom API enabled
  • Google Gemini API key (free) for the agent brain — or swap in any other LLM if preferred

Setup Instructions

Step 1: Google Cloud Project

  1. Create a new project in Google Cloud Console.
  2. Enable Google Classroom API.
  3. Create OAuth 2.0 Client ID credentials.
  4. Add your n8n OAuth callback URL as a redirect URI.
  5. Note down the Client ID and Client Secret.

Step 2: OAuth Setup in n8n

  1. In n8n, open HTTP Request Node → Authentication → Predefined Credential Type.
  2. Select Google OAuth2 API.
  3. Enter your Client ID and Client Secret.
  4. Click Connect my account to complete authorization.
  5. Test the connection.

Step 3: Import & Configure Workflow

  1. Import this workflow template into n8n.
  2. Link all Google Classroom nodes to your OAuth credential.
  3. Configure the webhook if using external triggers.
  4. Test each agent for API connectivity.

Step 4: Customization

You can customize each agent’s prompt to your liking for optimal results, or copy and modify node code to expand functionality.
All operations use HTTP Request nodes, so you can integrate more tools via the Google Classroom API documentation.
This workflow provides a strong starting point for deeper automation and integration.

Features

Course Topics

List, create, update, or delete topics within a course.

Teacher & Student Management

List, retrieve, and manage teachers and students programmatically.

Course Posts

List posts, retrieve details and attachments, and access submission data.

Announcements

List, create, update, or delete announcements across courses.

Courses

List all courses, get detailed information, and view grading periods.

Coursework

List, retrieve, or analyze coursework within any course.

Notes

Once OAuth and the LLM connection are configured, this workflow automates all Google Classroom operations.
Its modular structure lets you activate only what you need—saving API quota and improving performance.

n8n AI Chatbot with Google Gemini

This n8n workflow sets up a basic AI chatbot using Google Gemini as the language model. It allows you to interact with an AI agent through a chat interface, leveraging memory to maintain context across conversations.

What it does

This workflow automates the following steps:

  1. Listens for Chat Messages: It acts as a trigger, waiting for incoming chat messages from a configured chat interface.
  2. Manages Conversation Memory: It utilizes a simple memory buffer to store previous chat interactions, enabling the AI agent to remember context during a conversation.
  3. Processes with Google Gemini: It sends the incoming chat message and the conversation history to the Google Gemini Chat Model for processing.
  4. Responds via AI Agent: An AI Agent orchestrates the interaction, using the Google Gemini model to generate a response based on the input and memory, and then sends the response back to the chat interface.
  5. Provides an AI Agent Tool (Placeholder): Includes an AI Agent Tool node, which can be configured to add specific functionalities or access external systems for the AI agent to use.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Gemini API Key: An API key for the Google Gemini Chat Model. This will need to be configured as a credential in the "Google Gemini Chat Model" node.
  • Chat Integration: A chat service integrated with n8n (e.g., Slack, Telegram, Discord) to send and receive messages, which will connect to the "When chat message received" trigger.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Open the "Google Gemini Chat Model" node.
    • Select or create a new credential for Google Gemini, providing your API key.
  3. Configure Chat Trigger:
    • Open the "When chat message received" node.
    • Configure it to listen for messages from your desired chat service (e.g., Slack, Telegram). This will typically involve setting up a webhook or connecting to the service's API.
  4. Activate the Workflow: Once configured, activate the workflow by toggling the "Active" switch in the top right corner of the n8n editor.
  5. Start Chatting: Send a message to your configured chat service, and the AI agent will respond.

The "AI Agent Tool" node is included but not connected in this basic setup. You can extend the workflow by connecting it to the "AI Agent" node and configuring it to perform specific actions or access external data sources.

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