
Learn to build an AI agent from scratch with n8n automation and run unlimited automations on your own server, with Gmail, Airtable, ChatGPT, Pinecone, and webhooks integrations and rag.
Download the course resources by clicking the link, then extract the zip on Windows or double-click on Mac to access the materials folder for this course.
Learn how automation uses trigger, action, and result to start processes from user input, such as a submit button, route messages to support teams, and generate a customer reply.
Explore how automation and AI agents share trigger-action-result steps, with AI agents adding AI-oriented actions, reading and interpreting messages, thinking, deciding, and routing answers to the right department.
Explore how ai agents resemble robots with a brain and body, where the brain is an llm or ai model behind apps like ChatGPT and Gemini, enabling read and act.
Explore how an AI agent blends a brain with a body—tools like apps, websites, and APIs—to perform tasks and connect applications.
See how an AI agent workflow pairs an LLM brain with tools and APIs to perform trigger-driven tasks, update spreadsheets, and emit a final success or error result.
Explore two paths to build AI agents: code with Python and no-code with n8n. Self-hosted n8n unlocks unlimited workflows and full capabilities at an affordable cost.
Explore Coolify, a powerful self-hosting panel to install any application on your own server. Learn to set up on a VPN server and deploy Mautic, WordPress, and MongoDB.
Explore the steps to work in n8n automation for ai agents, from searching resources and using notepad to setting up a custom domain and the required qualification steps.
Discover how to obtain a domain name, check availability on Namecheap, and purchase with preferred registration duration. Learn to manage DNS records and domain settings from your account.
Learn to set up a vpn server on Contabo, sign up, create a new vpn server, choose a base plan, and secure it with a root password.
Learn to set up the ssh client Termites, connect to your Contabo server as root, paste the installation code with ctrl+shift+v to install qualify, and register to access the project.
Attach a custom domain to your Qualify setup by configuring advanced DNS, creating an A record with your IP, and allowing propagation before using the dashboard to manage projects.
Learn how to self-host the open source n8n automation tool on your vpn server using qualify, configure a domain, deploy, and run automated workflows.
Explore the n8n dashboard in the community version, learn how to create workflows and credentials, access templates, explore personal projects, and use the API key and settings for secure automation.
Explore the n8n structure—workspaces, projects, workflows, and nodes—showing how to organize, name, and manage limitless workflows in free and enterprise versions.
Understand how a single execution in n8n runs from trigger to result with auto refresh, and compare cloud plans offering about 2,500 to 10,000 executions to unlimited local deployments.
Explore the five node types: trigger, action, utility, code, and advanced AI, and learn how they start, drive, and refine automations with data filtering, routing, and auto replies.
Learn how to create and manage credentials in n8n, connect Gmail via OAuth, enable Gmail API in Google Cloud Console, and troubleshoot with ChatGPT for end-to-end setup.
Explore how to configure an n8n text classifier to categorize emails into bug or inquiry, map messages to variables and snippets, and trigger auto responses.
Learn how to integrate AI models like OpenAI with an n8n automation workflow, using an LLM as the brain to read messages, classify them, and generate responses via API.
Build an ai email assistant in n8n that classifies messages as bug or inquiry and replies via OpenAI prompts, drafting Gmail responses with json outputs.
Learn to build an n8n workflow with a chat trigger and AI agent to manage mobile accessories, store memory in MongoDB, and connect OpenAI models for dynamic responses.
Explore the simple memory option in n8n that stores session data in memory without credentials, enabling automatic memory retrieval during chats and basic expression-based storage for testing.
Learn to connect n8n automation to Airtable by creating and using an access token, configuring credentials with read and write scopes, and querying inventory data.
Explore building AI agents in N8N using trigger, action, and utility nodes to rate a user by name and profession, generate a poem, and run a practical workflow.
Connect n8n to Airtable, configure chat triggers and actions, create records, and map dynamic fields with expressions using Airtable credentials and token.
Learn to configure a form trigger in n8n, create fields like name, looks, and profession, and map form submissions to Airtable for automated data storage.
Explore how the utility node enhances data handling with filter, clean, transform, and switch routing, enabling conditional flows and automated rating updates.
Explore the ai node workflow using trigger, action, and utility notes, then build an ai agent to generate a poem from name, looks, and profession and update Airtable records.
Learn to build and refine n8n workflows using dummy data, utility nodes, edit fields, and if conditions to filter and transform data for clean, targeted outputs.
Use n8n automation for ai agents to connect Google Sheets, import real data, and filter China records, merge fields, and extract full name, email, and country.
Plan and design an AI agent using the blueprint template, define goals, success metrics, and triggers, classify feedback, and route it via Slack and Gmail with a visual workflow.
Build a feedback ai agent in n8n that classifies form submissions (complaint, compliment, feature request) using ai, merges data, and routes results to airtable and email.
Understand the concept of a webhook and how it carries user prompts between the UI, backend AI, and the chatbot workflow.
Create a chatbot user interface with lovable, wire it to a webhook, and route messages to an AI agent via post to a webhook, then return responses to the user.
In today’s fast-paced world, businesses, entrepreneurs, and developers are looking for ways to scale operations, save time, and deliver personalized experiences without burning out or hiring large teams. That’s where AI agents and automation with N8N come in.
This course, “N8N Automation for AI Agents (Full Course)”, is your complete step-by-step guide to mastering the powerful combination of automation and AI. Whether you’re a beginner who has never used automation tools or a professional aiming to scale AI-powered workflows, this course is designed to give you both the theory and practical hands-on skills to build, deploy, and optimize AI agents using N8N.
We start with the foundations of automation and AI agents, helping you understand concepts like automation workflows, large language models (LLMs), tools, and how AI agents think and act. By the end of this section, you’ll know the difference between a simple automation and a fully functional AI-powered agent — and why this distinction is crucial for modern businesses.
Next, you’ll learn the technical setup needed to run N8N on your own server. We’ll cover VPS setup, domain configuration, Coolify deployment, SSH connections, and custom domain integrations. By completing this section, you’ll have a fully running automation environment — a skill that will save you thousands in consulting costs and give you full control over your automation systems.
Once the foundations are set, we’ll dive deep into N8N’s powerful features: dashboard, execution models, types of nodes, and integrations with tools like ChatGPT, Airtable, and Google Sheets. You’ll learn how to connect AI models into workflows, handle credentials securely, and design flexible workflows that adapt to real-world use cases.
Then comes the most exciting part: building real AI agents step by step. You won’t just learn theory — you’ll create practical AI agents for:
Automated email classification and AI-powered responses
Intelligent lead magnets with rating systems
Customer data filtering and segmentation
Business-ready blueprints for scaling AI agents
Webhook-powered chatbots
XML- and JSON-based data automation
Retrieval-Augmented Generation (RAG) AI agents
Voice-based AI assistants
Each agent is taught in a project-based, hands-on style, so by the time you finish, you’ll have multiple working AI agents to showcase in your portfolio or apply in your own business.
By the end of this course, you’ll be able to:
Confidently set up and manage your own N8N server.
Understand AI agent workflows, tools, memory, and data handling.
Build and deploy AI agents for marketing, business automation, customer support, and more.
Integrate advanced AI features like RAG, embeddings, JSON, and voice-based assistants.
Automate repetitive tasks, freeing up your time to focus on growth and creativity.
If you miss out on this course, you risk falling behind in one of the fastest-growing areas of technology. Automation and AI agents are no longer “nice to have” — they’re becoming a competitive necessity. Businesses that don’t adopt these tools will continue to waste hours on manual processes, while those who do will scale smarter, faster, and more efficiently.
This course transforms you from being a consumer of AI tools into a creator of AI-powered systems. By the time you finish, you won’t just understand AI agents — you’ll be building them, customizing them, and using them to create real business impact.