n8n Automation Table of Contents


Table of Content
 

 

Introduction to AI Agents

  • Why We Need to Learn About AI Today and Not Tomorrow
  • AI fundamentals for beginners
  • The origins of AI
  • Key Milestones of the History of AI
  • But What Are AI Agents Exactly
  • How AI agents are transforming
  • How AI Agents Are Taking Over the World - Enterprise Perspectives
  • How to Prepare for the AI Agent Apocalypse
  • Ethical Considerations for AI and AI Agents
  • Why AI agents matter now

Using LLMs like DeepSeek for problem-solving

  • Basics of prompt engineering and DeepSeek inference
  • Building your first game with DeepSeek

Overview of AI agents and the email assistant

  • Course Overview and AI Agent Project Introduction
  • Simplifying AI Agent Workflows for Beginners
  • Non-technical view of the AI agent workflow
  • Declarative paradigm in AI agents
  • Database updates and email tracking with AI
  • Sub-agents vs. sub-workflows explained
  • AI-powered email automation overview

Introduction to n8n

  • What is n8n
  • How to Get Started with n8n
  • Working with n8n and Getting Familiar Overall
  • How Does n8n Work with AI Agents

Building an AI-powered email organizing agent

  • Creating an N8N workflow for the email agent
  • Setting up email trigger nodes in N8N
  • Understanding how N8N works
  • JavaScript and JSON basics for N8N (optional)
  • Working with JSON in N8N
  • Advanced prompt setup for email categorization
  • Prompt engineering essentials and hallucinations
  • OpenAI API key basics (optional)
  • Parsing LLM chain JSON outputs
  • Managing and splitting data flows in N8N
  • Data aggregation and error handling in N8N

Business authorizations for Facebook and WhatsApp AI agents

  • Creating trigger events for a WhatsApp AI agent
  • Setting up or migrating a WhatsApp Business account
  • Facebook business setup for AI agents
  • WhatsApp AI agent developer credentials

Building an AI agent with memory and LLM integration

  • Connecting an LLM to a WhatsApp AI agent
  • Window buffer memory and JSON handling
  • WhatsApp AI agent schema and developer setup
  • WhatsApp AI agent schema (continued)

Advanced voice integration and custom HTTP requests for WhatsApp AI

  • Overview of voice features for WhatsApp AI agents
  • Multiple output configurations in N8N
  • Downloading media from WhatsApp Business Cloud
  • HTTP requests with WhatsApp Cloud APIs
  • Audio transcription and next AI agent steps

Integrating email actions with a WhatsApp AI agent

  • Adding actionable email requests to the AI assistant
  • Sending and replying to emails using AI agents
  • Custom databases for action mapping in N8N
  • System prompt engineering for databases
  • Building basic data tables with Google Docs
  • Preprocessing unstructured data in N8N
  • JavaScript regex and iteration basics (optional)
  • Debugging and object iteration with LLMs (optional)
  • Connecting databases to LLMs for targeted email actions
  • Message data tables for email replies
  • Creating sub-workflows for AI agents in n8n

Multi-AI agents and sub-workflows in N8N

  • Advanced system prompt engineering for multi-agent setups
  • Parsing JSON outputs for AI agents
  • Regex for advanced data processing
  • Prompt testing and JSON optimization for AI agents
  • Data merging in N8N and future AI readiness

Overview and live example of the AI agent lead generator

  • Course introduction with key takeaways and objectives
  • Quick workflow and specs review before demo
  • Live demonstration of lead generation by the AI agent
  • Final review of the AI agent blueprint

Fundamental data flow for AI agent design with LLMs and APIs

  • Understanding workflow trigger events for AI agents
  • Basic debugging tools and best practices in N8N
  • Prompt engineering: system vs user messages
  • Three essential sub-nodes for AI agent nodes
  • Continued fundamentals of data flow with chat models and prompting

Building the lead-generating chat AI agent model

  • Designing lead parameters and memory for Outlook
  • OOP basics and JavaScript objects for AI workflows
  • Wiring mock data for AI test flows
  • Parsing data into JSON for web scraping
  • Internet challenges: bots vs AI agents

Building an AI agent for browser search and database updates

  • Using a programmable search engine for research and data scraping
  • Setting up an API key and enabling PSE API in Google Cloud
  • Configuring HTTP requests in N8N for the browser engine
  • Programming a function node with LLM-generated code

Linking multiple agentic workflows to create a network of AI agents

  • Setting up and mapping Google Sheets for workflows
  • Connecting specialized AI agents in N8N – “Army of Agents” mode
  • Next steps to enhance your N8N AI workflows – building the AI agent empire


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