N8N: Ai Agent Creation Guide


N8N: Ai Agent Creation Guide
N8N: Ai Agent Creation Guide
Published 7/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Create intelligent, memory-driven AI agents using N8N, and connect them with tools like Gmail, Google Calendar, and more

What you’ll learn

Understand how to use N8N for no-code/low-code automation

Create intelligent AI agents

Master prompt engineering to guide AI behavior effectively

Connect AI agents to messengers, Gmail, Google Calendar, and other tools

Customize agents for specific business needs and workflows

Use advanced features like Code nodes and multimodal inputs

Build and deploy real-world use cases across multiple platforms

Requirements

Basic understanding of how AI chat agents work (no deep technical knowledge needed)

Familiarity with cloud apps like Gmail, Google Calendar, etc.

A curiosity to explore automation and AI tools

No coding skills required, but basic logic and workflow understanding will help

Description

Overview

Lecture 1 Introduction to the Course

Lecture 2 What N8N Is?

Lecture 3 N8N Nodes and Chat Functionality

Section 2: Building AI Agents

Lecture 4 AI Agent Parameters

Lecture 5 Agents Nature Explanation

Lecture 6 Mastering Prompts

Lecture 7 AI Agent Memory

Lecture 8 How to Add Memory to AI Agent

Section 3: Connecting AI to Real-World Applications

Lecture 9 How to connect Agent to Messengers

Lecture 10 Connecting the Chat to External Services – Google Calendar

Lecture 11 Connecting the Chat to External Services – Gmail

Lecture 12 Adjusting AI Agent to Your Needs

Lecture 13 Connecting the Chat to External Services – Perplexity AI

Lecture 14 Sending Emails with AI Agents

Lecture 15 Intermediary Messages

Lecture 16 Connecting the Chat to External Services – Google Task

Lecture 17 Multiple Workflows Creation

Section 4: Advanced Agent Capabilities

Lecture 18 Additional Key Concepts for Agents Creation

Lecture 19 Code Node

Lecture 20 Multimodal Inputs and Outputs

Lecture 21 MCP

Section 5: Summary

Lecture 22 Agent Examples and Final Thoughts

No-code builders who want to bring intelligence into their workflows,Entrepreneurs & CEOs looking to scale operations using AI and automation,AI enthusiasts eager to explore real-world applications,Product managers & business analysts seeking to automate repetitive tasks,Technical professionals exploring low-code automation with AI integration,Freelancers & consultants offering AI-driven automation solutions to clients

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