
Build a simple ecommerce support bot that handles messages from native chat apps and Telegram, using product data and order details to answer questions.
Navigate the n8n workspace to manage active versus inactive workflows, credentials, and executions. Create a lead workflow that imports from Google Sheets into a CRM, enriches, scores, and emails leads.
Create your first ai agent in n8n by wiring a chat trigger, choosing an OpenAI model, and setting a system message to act as a customer support agent.
Store and recall customer chats with window buffer memory and session IDs to maintain context. Test data injection with JSON and swap models like Gemini in n8n to compare responses.
Create a Telegram bot with BotFather, configure a Telegram trigger in n8n, and test a workflow that responds to incoming messages from a customer support bot.
Connect the telegram trigger to the AI agent, extract session id and chat input via an edit fields node, then pass data to the AI agent and return the reply.
Learn to configure an AI agent in an n8n workflow to send HTML-formatted Telegram responses, by forcing HTML parse mode and restricting tags, solving markdown parsing issues.
Discover how to make an AI agent truly channel agnostic by routing outputs across telegram and chat using if nodes and edit fields in a multi-channel workflow.
Connect your AI agent to an external data source with Airtable, create an orders table from a csv, and import order data including number, details, date, and status.
Connect Airtable to an AI agent and configure an Airtable tool to fetch order information by order number, retrieving order date, details, and status within an AI workflow.
Use the coding module to transform AI agent output from HTML to a clean display. Remove backtick artifacts, debug with console.log, and return an output object for downstream nodes.
Celebrate creating your first ai agent, a customer support bot. Handle messages from websites and phones, using fed data and dynamic stores to serve requests and return results to channel.
Build Your First AI Customer Support Agent: An Introduction to n8n & LLMs
Ready to dive into the world of AI automation and create your own intelligent customer support agents? This course is your perfect starting point! We'll guide you through the essentials of n8n and Large Language Models (LLMs), empowering you to build practical AI solutions without prior coding experience.
You'll learn how to create your first AI agent, transform it into a customer support tool, and connect it to multiple communication channels like Telegram. We'll also explore integrating external data sources like Airtable, giving your agent access to valuable information. This course provides a hands-on, step-by-step approach, making AI automation accessible to everyone.
What You'll Learn in This Course:
Introduction to n8n and AI Agents:
Get a comprehensive tour of the n8n platform.
Build your first AI agent from scratch.
Transform your agent to handle basic customer support inquiries.
Multichannel Communication with AI:
Create a Telegram bot using BotFather.
Connect your Telegram bot to your AI agent.
Learn basic data engineering to format AI responses for different channels.
Make your AI agent channel-agnostic for seamless communication.
Integrating External Data Sources:
Create a database and an orders table in Airtable.
Connect your n8n workflow to your airtable database.
Foundational Skills:
Learn how to use LLMs within n8n.
Understand how to use APIs.
Learn how to use no code tools to build powerful automations.
Join us and embark on your AI automation journey!