What is an Automation

Let's get started with the course!

What is N8N

Setting Up N8N Locally (Alternative Free Option)

Creating Workflow

Setting Up N8N & Hosting

Key Categories of Workflow Actions

Other Platform Connections

Introduction to AirTable

Managing Data Formats

Connecting and Retrieving Data

Working With Static and Dynamic Data

Implementing Retry Logic

What Next

Mastering Dynamic Data

Naming Consistency

Workflow Planning

Understanding HTML and Markdown

Google Credential Setup Problems

Sending e-mail Data into Airtable

Overview and How to Activate the Workflow

Handling Multiple Data Formats

Setting Up Gmail Trigger

Extract Data From PDF

Looping Through Multiple Emails

Cleaning and Formatting Data

Conditional Instructions

AI Agents Basics

Agentic Applications

AI Agents vs LLM

AI Agents on N8N

AI Agent Nodes on N8N

Businesses and AI Agents

Setting Up AI in our Workflow

Prompting

Openrouter & Getting Consistent Outputs

Handling Data Types and Errors

External API Integration Basics

Connecting Airtable into Our Workflow

Understanding APIs and HTTP Requests

Uploading Files to APIs

Navigating API Documentations

Sending PDF Files for Processing

Building Scalable Workflows

Processing Responses from APIs

Workflow Clarity

Community Resources and Support

Error Handling Strategies

Configure Automated Backups

layers of failure handling

Set up an Error Handler

Introduction

Planning Your AI Agent

Calendar Agent Goals & Initial Setup

N8N Tools Overview & Google OAuth Setup

Calendar Agent Create Event Config

Calendar Agent Delete & Update Event

Agent Selection, LLM, & Memory

Calendar Agent Get Events & Check Availability

Calendar Agent Prompting Critics

Calendar Agent Instructions, IO, Solutions

Calendar Agent Role, Constraints & Tools

Calendar Agent First Run & Initial Fixes

Calendar Agent Time Zones & Core Functions

Calendar Agent Deleting Events & Prompt Iteration

Calendar Agent Updating Events & Final Checks

What is RAG for Business

RAG & CAG Overview

Data Management

Chunking & Splitting Our Data

Vectors & Embeddings

Retrieving Answers

Deep dive on CAG

Next Steps

Introduction to RAG & CAG Agent

Retrieval Phase

Addressing Retrieval Limitations

Exploring Contextual Retrieval

Ingestion Phase

Updating Data in RAG

New Document Handling

Testing the Updated Data System

Implementing Efficient Updates

Summary

Cache Augmented Generation