AI Automation: Build LLM Apps & AI-Agents with n8n & APIs

What You'll Learn

Fundamentals of automation, AI agents, and LLMs (ChatGPT, Claude, Gemini, DeepSeek, Llama, Mistral, and more)
Introduction to automation tools such as n8n, Make, Zapier, LangChain, LangGraph, and Flowise
Understanding and using APIs for automation
OpenAI API pricing, compliant usage, and project setup
Function calling with LLMs using calendars, email, web search, webhooks, Airtable, and Google Sheets
Vector databases, embeddings, and Retrieval-Augmented Generation (RAG)
Building automations using Airtable, Google Sheets, and Google Cloud
Integrating open-source LLMs such as DeepSeek R1, Llama, and Mistral
Building AI agents and RAG chatbots inside workflows
Prompt engineering best practices and optimization
Self-hosting n8n and integrating AI agents into WhatsApp and Telegram
Debugging and optimizing AI automation workflows
Selling AI automations and AI agents as a business
Security, privacy, GDPR, and AI compliance concepts

This Course Includes

13 hours on-demand video
9 articles
39 downloadable resources
Access on mobile and TV
Certificate of completion

Course Content

13 sections • 92 lectures • 14h 26m total length

Section 1: Course Introduction

Welcome! — 0:10
Course Overview — 7:14
Important Tips for the Course — 5:01
Explanation of Required Links — 1:33
Instructor Introduction — 1:20

Section 2: Fundamentals of AI Automation

What Are Automations, AI Automation, and AI Agents? — 13:52
What Is an API (Client and Server) — 4:23
Automation Tools: n8n, Make, Zapier, LangChain, Flowise & More — 5:48
What Are LLMs? — 16:00
OpenAI API Explained — 11:40
Thinking Models and Test Time Compute — 4:56
Function Calling in LLMs — 7:41
Vector Databases, Embeddings & RAG — 14:40

Section 3: n8n Basics and Setup

Local Installation of n8n with Node.js — 7:13
Managing Node Versions — 2:33
Updating n8n via Node.js — 2:58
Testing n8n for Free — 1:33
First Automation with Airtable — 17:10
n8n Workflow Builder with AI — 3:36
Importing, Exporting, and Selling Workflows — 2:09
Connecting Google Sheets with n8n — 6:26

Section 4: AI Automation with LLMs

Email Automation with OpenAI, Gmail & Airtable — 15:08
Sentiment Analysis with LLMs — 15:11
Using Open-Source LLMs with Ollama — 14:35
Integrating Any LLM into n8n via APIs — 12:54

Section 5: AI Agents and RAG Workflows

RAG Agent with Google Drive — 18:27
RAG Chatbot with AI Agent Nodes — 16:28
Email Agent with Sub-Workflows — 21:32
AI Email Summaries and Auto Replies — 22:16
Prompt Engineering for AI Agents — 16:50

Section 6: Hosting and Social Media Automation

Hosting n8n with Render — 15:26
AI Agents in WhatsApp — 19:44
Telegram AI Agents — 20:38
Social Media Automation & Web Scraping — 6:26

Section 7: Webhooks and Debugging

Debugging n8n Workflows — 12:52
Flowise AI Agent & n8n Webhook Integration — 24:01
Webhooks and HTTP Requests — 4:17

Section 8: MCP (Model Context Protocol)

MCP Explained — 13:31
Claude Desktop as an AI Agent Host with MCP — 25:31
MCP Server & Host in n8n — 14:14

Section 9: AI Automation Business

AI Automation as a Business — 1:18
Market-Ready RAG Bot for Lead Generation — 25:20
Integrating RAG Bots into Websites — 20:36
Selling Automations & AI Agents — 27:07

Section 10: Optimizing RAG Applications

Optimizing RAG Chatbots — 4:20
Converting HTML & PDFs to Markdown — 7:57
LlamaIndex & LlamaParse — 12:57
Chunk Size and Overlap for Embeddings — 10:18

Section 11: AI Security and Privacy

Jailbreaks and Prompt Injections — 14:48
Data Poisoning and Backdoor Attacks — 3:45
Copyright & Intellectual Property — 7:51
Privacy & Client Data Protection — 4:08
Bias and Alignment in LLMs — 3:38

Section 12: Legal and Compliance

n8n License & Commercial Usage — 6:23
GDPR, CCPA/CPRA & EU AI Act — 8:51
EU AI Act Deep Research — 34:57
GDPR Compliance for Chatbots & AI Agents — 50:59

Section 13: Course Wrap-Up

Recap Important Points — 5:03
Next Steps — 5:22
Bonus — 0:10

Requirements

No prior knowledge required — everything is explained step by step.

Description

AI Automation is the future.

This course teaches you how AI agents, automation, LLMs, vector databases, Retrieval-Augmented Generation (RAG), and n8n work together to build intelligent automation systems for business and personal use.

You will learn how to:

Create advanced AI automations using n8n
Build AI agents powered by LLMs
Integrate APIs, vector databases, and workflows
Develop RAG chatbots and AI-powered assistants
Automate email, social media, messaging apps, and business tasks
Deploy and optimize production-ready AI solutions

The course also includes 29 downloadable JSON workflows to help accelerate implementation and learning.