Building AI agents with n8n for beginners step-by-step

Name: Building AI agents with n8n for beginners step-by-step
Rating: 4.6 (10 reviews)

From Zero to AI Agent: A Comprehensive Guide with n8n Workflows

Created byHamdy egy

Last updated 9/2025

English

English [Auto],

What you'll learn

Introduction to AI agents with N8N
Master n8n Platform and AI Agent Development
Integrate Multiple AI APIs and Database Systems
Implement Advanced Automation Workflows with Real-World Applications
Deploy and Scale AI Agents for Business Applications
Design conversation flows with context management
Create voice and text message processing workflows
Create appointment scheduling and management systems

Course content

11 sections • 44 lectures • 18h 31m total length

Introduction to AI agents? why do we need them?25:15
Explore what ai agents are, why they are needed to automate repetitive customer support tasks, and how the n8n platform enables self-hosted, cost-efficient automation workflows.
The difference between the AI agents and the LLMs26:31
clarify the difference between ai agents and llms with an example, showing ai agents connect to tools to act autonomously, whereas llms are memoryless and cannot perform tasks alone.
Creating an n8n account8:28
The differences between the hostings' types21:16
Learn how three hosting types differ for the N810 platform—general cloud, self-hosting, and the N810 website—covering data security, uptime, cost, and Google tool integration.
Installing n8n on your computer (self-hosting)14:56
Installing n8n on cloud hosting (hostinger)7:58
Hostinger License key to get paid features for free4:17
Learn how to obtain a free license key to unlock features in Hostinger, including workflow history and advanced debugging, by requesting the key via email and activating it in settings.
How to update n8n for hostinger6:37
Explore the n8n GUI interface and n8n update11:52
Explore the n8n gui interface, including the overview, editor, credentials, and project settings, and learn to create, test, and share AI agent workflows with templates and updates.
Google Credentials for self-hosting and general cloud22:17
Learn to connect the n8n platform to your Google account, create credentials, and enable Gmail, Drive, and Calendar access to automate email handling and daily meeting summaries.

The n8n tools for building the ai agents (important)13:25
Discover how AI agents use triggers, actions, and a categorized toolkit in n8n from communication to data storage and AI tools to build autonomous workflows.
Practical examples on triggers, sheets and Gmail part 128:02
the trigger should be many things (on time, form, and so on)
Practical examples on webhook triggers, sheets and Gmail part 225:18
Download and save gmail attachments in google drive49:29
Learn to automate saving Gmail attachments to Google Drive using n8n: set up Gmail trigger, download attachments, and handle zero, one, and multiple attachments with filters, splits, and merges.

OpenAI APIs for connecting with n8n10:57
Connect n8n workflows with OpenAI using API credentials to power smart AI agents with ChatGPT models, manage billing and API keys, and choose cost-effective models for scalable automation.
Gemini APIs for connecting with n8n12:53
connect Google Gemini to an n8n workflow by adding a chat trigger and a memory-enabled AI agent, wiring a Gemini credential, and understanding memory, API keys, and billing for use.
Medical company smart chatbot using n8n31:31
Build a medical company smart chatbot in n8n using Google Sheet data. Leverage an AI agent with memory, OpenAI or Gemini, and Gmail alerts for purchases.

How to set the Telegram APIs8:34
Learn to connect telegram with n8n by creating a bot, obtaining the access token, and configuring an onmessage trigger to send and receive messages using the chat ID.
Telegram AI agent to schedule meetings with google calendar41:59
Voice and Text Telegram AI agent to book meetings with google calendar46:26
Build an n8n ai agent for telegram that books meetings on google calendar, handling text and voice messages with transcription and audio generation, plus email notifications.
Edit fields node hack for the telegram project (important)7:38
Use the edit field node in the telegram project to combine upper text and lower voice inputs for the AI agent, enabling a single text output regardless of path.

Developer and business accounts for whatsapp APIs (for new fb accounts only)7:35
Learn how to set up a totally new Facebook account with developer and business accounts, verify phone and email, and prepare for WhatsApp APIs.
WhatsApp APIs preparation (important)18:22
Learn how to configure WhatsApp API credentials for n8n, including input and output API differences, creating client ID and secret for triggers, and access token and business account ID setup.
WhatsApp hack : permanent access token API !17:36
Airtable APIs with example12:24
Learn how to set up Airtable APIs for your n8n workflow: create bases and tables, generate a full-access personal access token, and fetch or create records using triggers and actions.
WhatsApp Chatbot for a clinic using Airtable database1:02:26
Learn to build a WhatsApp clinic chatbot with n8n, routing text and audio messages, transcribing audio, and storing patient data in Airtable.
Gemini instead of OpenAI8:57
Swap from OpenAI to Gemini in an n8n workflow for a clinic's WhatsApp chatbot, test live interactions, and enable calendar-based appointment scheduling.
Image Analysis with the WhatsApp chatbot30:01
Learn to add image analysis to a WhatsApp chatbot with n8n, routing by media type and feeding images to an AI agent (Google Gemini) for text-based responses.

Messenger Chatbot for a clinic (text messaging with APIs explained)49:02
Design a clinic messenger chatbot in n8n using a webhook, connect to a Facebook page, and route messages to an AI agent with Airtable and calendar integration.
Messenger voice Chatbot for a clinic14:22
Build a messenger voice chatbot for a clinic that routes text and voice messages to an AI agent, transcribes voice with OpenAI, schedules appointments, and notifies doctors via http requests.
How to deploy the messenger chatbot for production (be carful!)5:43
Deploy your messenger chatbot to production by converting the workflow into a live project, configuring the production URL and webhook, and connecting to Facebook.

Gmail Automation (promotions, work, business, etc)1:10:55
For Sales -AI Agent to Send one email to 100 persons23:11
AI Agent to Handle a sponsorship opportunity for your company45:47
Outlook Automation (Promotions, work, business, etc)40:50
Learn to automate Outlook emails with n8n by classifying messages into promotions, high priority, work, price query, and others, then route them via folders and summarize with OpenAI.

Why do we need RAG with LLMs ?21:14
Discover why rag, or retrieval augmented generation, is needed to address missing facts and hallucinations in LLMs by connecting to a dynamic knowledge base and avoiding retraining.
RAG definition and real-life example12:04
Define retrieval augmented generation (rag), illustrated by a judge and court clerks, showing retrieval, augmentation, and generation to ground answers in an external knowledge base and boost trust.
RAG steps (very important)22:50
Learn the RAG steps for building accurate AI chatbots by connecting data through text extraction, chunking, embeddings, and a vector database with semantic search.
First RAG project (Large files and their mistakes)46:33
Store documents in a Pinecone vector store by chunking and embedding text, then retrieve with semantic search and answer with an OpenAI chat model.
RAG with many files of different data29:42
Learn to build a rag agent that handles many files by using per-file namespaces, looping over files, and routing queries to the right data in Pinecone with embeddings.
RAG with Supabase vector database33:20

Requirements

No prerequisites are required for the course

Description

Automate Anything with AI Agents & n8n: Your Complete Course

Unlock the power of intelligent automation with this comprehensive masterclass on AI Agents and the n8n workflow automation platform. In today's rapidly evolving digital landscape, AI agents are transforming how businesses operate, enabling unprecedented levels of efficiency and innovation. This course is your definitive guide to understanding, designing, and deploying these cutting-edge autonomous systems.

Whether you're a developer, engineer, data scientist, business analyst, or simply curious about the future of AI and automation, this course will equip you with the knowledge and practical skills to build sophisticated AI-powered solutions. We'll demystify the core concepts of AI agents, from their fundamental characteristics to their diverse types and architectures. You'll gain a deep understanding of how these intelligent entities perceive, reason, and act within their environments.

A significant portion of this course is dedicated to the powerful, open-source n8n framework. You'll learn how to leverage n8n's visual workflow editor, extensive integrations (over 400!), and native AI capabilities to bring your AI agent ideas to life. We'll cover everything from setting up basic

Through hands-on projects, you will build practical AI agent solutions, including an automated customer support agent, an intelligent content curation agent, and an AI-powered lead qualification agent. You will master integrating AI services like large language models, handling data transformations, and implementing robust error handling. This course emphasizes real-world application, ensuring you can confidently deploy and manage your AI agent workflows in production environments

Who this course is for:

Anyone interested in the AI automation

Building AI agents with n8n for beginners step-by-step

What you'll learn

Explore related topics

Course content

Introduction10 lectures • 2hr 29min

Level 1 projects (No LLMs used)4 lectures • 1hr 56min

LLMs based projects (Level 2)3 lectures • 55min

Telegram Chatbot4 lectures • 1hr 45min

WhatsApp chatbot7 lectures • 2hr 37min

Messenger Chatbot3 lectures • 1hr 9min

All-in-one social media Posting1 lecture • 1hr

Email Automation (Gmail and Outlook)4 lectures • 3hr 1min

How to use the open source models (Ollama)1 lecture • 25min

RAG - bonus6 lectures • 2hr 46min

Requirements

Description

Who this course is for: