Welcome to the n8n Masterclass, a step-by-step journey where you’ll learn how to go from complete beginner to building advanced AI-powered agents with n8n. This course is designed for anyone technical or not who wants to unlock the power of automation, AI integration, and scalable workflows.

Course Overview

• What is n8n?
  n8n is a low-code automation tool that lets you build powerful workflows without needing to be a developer.

• Why automation matters:

• Increased efficiency

• Time & cost savings

• Scalability

• Better data handling

• Improved customer experience

Why Learn n8n?

• No coding required → Empowering non-developers to create AI-powered workflows.

• 300+ built-in integrations → Google, Microsoft, Slack, X, and many more.

• Endless possibilities → Extend functionality with APIs, webhooks, and custom code.

Course Curriculum

Part 1: Getting Started

• Setting up n8n:

• Self-Hosted → Control, data ownership, customization.

• Cloud → Simplicity, reliability, managed hosting.

• How to choose the right setup.

• Navigating the interface:

• Workflows = the recipe

• Nodes = the ingredients

• Executions = the orders being processed

• Hands-on: First walkthrough of the n8n editor.

Part 2: Core Concepts

• Types of Nodes:

• Trigger Nodes → Start workflows (manual, scheduled, events).

• Action Nodes → Perform tasks (send email, API call, calendar updates).

• Data Transformation → Set, aggregate, merge data.

• Logic Nodes → If, Switch, Wait.

• Building your first workflow:
  Example → Automatically process & summarize customer orders.

Part 3: RAG & Vector Databases

• What is Retrieval-Augmented Generation (RAG)?

• Retrieval → Pull relevant data from external sources.

• Generation → Use AI to produce context-aware answers.

• Why it matters → No more AI “guessing.”

• Vector Databases explained:

• Storing and retrieving data with embeddings.

• Data loading, text splitting, chunking.

• Hands-on: Build an AI Agent that answers questions about Nike earnings.

Part 4: Expanding Agents

• Turning workflows into reusable tools.

• Scaling automation with modular designs.

• Showcasing real-world agent examples.

Part 5: APIs & HTTP Requests

• APIs explained in simple terms:

• API = Service

• Endpoint = Kitchen station

• API Call = Request

• HTTP Request = Delivery method

• Understanding GET vs POST requests.

• n8n API examples to connect workflows to external services.

Part 6: Advanced Practices & Next Steps

• Best practices:

• Keep workflows organized.

• Use sub-workflows for reusability.

• Add error handling.

• Optimize for scale.

• Error workflows & debugging strategies.

• Next steps:

• Explore advanced templates.

• Experiment with integrations.

• Build & share workflows with the community.

Your journey from beginner to AI Agent Builder starts now.