
Welcome to the course. In this lecture, you will understand the purpose of the course, the tools we will use, and the type of chatbot automation system we are going to build.
In this lecture, you will see the complete chatbot automation system we are going to build, including n8n workflows, Chatwoot conversations, AI responses, appointment booking, reminders, and dashboard tracking.
In this lecture, you will understand the structure of the course, the order of the sections, and how each part connects to the final chatbot automation system.
In this lecture, you will learn how to deploy n8n on Railway and prepare the cloud automation environment for the chatbot system.
In this lecture, you will configure the main n8n environment variables, understand basic access settings, and prepare the instance for secure usage.
In this lecture, you will explore the n8n interface and understand workflows, nodes, executions, credentials, and how automation logic is visually built.
In this lecture, you will create your first workflow in n8n and understand how data enters, moves through, and exits an automation process.
In this lecture, you will connect Chatwoot with n8n using webhooks so Chatwoot messages can trigger automation workflows.
In this lecture, you will learn how to read Chatwoot message data, identify the most important JSON fields, and use that information inside n8n workflows.
In this lecture, you will connect AI to the chatbot workflow and generate dynamic responses based on real user messages.
In this lecture, you will improve the quality of AI chatbot responses using role, context, rules, and business-specific prompt instructions.
In this lecture, you will build a real appointment booking flow where the chatbot detects user intent, asks for required information, and guides the user through the scheduling process.
In this lecture, you will connect the chatbot system with Supabase to store appointment data and make the automation persistent.
In this lecture, you will create an automation workflow that checks stored appointments and sends automatic reminders through Chatwoot.
In this lecture, you will visualize chatbot and appointment data through a dashboard to track conversations, bookings, and automation performance.
In this lecture, you will understand how to connect multiple communication channels to Chatwoot, including WhatsApp, Instagram, Facebook, Telegram, and website chat.
In this lecture, you will add conversation memory so the chatbot can use previous messages as context and respond in a more natural and consistent way.
In this lecture, you will improve the reliability of the chatbot by adding fallback responses and basic error handling for unexpected situations.
In this lecture, you will review, organize, optimize, and prepare the final chatbot automation system for real-world usage.
This course contains the use of artificial intelligence.
In this course, you will learn how to build a real AI chatbot automation system using n8n, Chatwoot, Railway, Supabase, and AI tools.
Instead of only learning theory, you will create a practical system that can receive messages, process user information, generate AI responses, manage appointment booking, send reminders, and organize conversations inside Chatwoot.
You will start by understanding the complete project and setting up the main tools. Then, you will deploy n8n, connect it with Chatwoot, understand incoming message data, and create your first automation workflows.
After that, you will build a real appointment automation system for a clinic-style use case. You will learn how to collect appointment information, store data in Supabase, create reminders, and visualize important results through a dashboard.
You will also explore more advanced topics such as multi-channel communication, conversation memory, fallback responses, and final workflow optimization.
By the end of the course, you will understand how to connect n8n and Chatwoot to build business-ready chatbot automations that can be adapted for clinics, service businesses, support teams, sales teams, and other real-world scenarios.
This course is designed for beginners and practical builders who want to learn how automation, AI chatbots, and customer communication tools can work together in a complete system.