Ai Automation: Build Llm Apps & Ai-Agents With N8N & Apis

Automate Everything: n8n, LLMs, OpenAI API, Deepseek, Ollama & RAG! Business & Private AI Agents; More than just ChatGPT

What you'll learn

Fundamentals of Automation, AI Agents & LLMs (ChatGPT, Claude, Gemini, Deepseek, Llama, Mistral & more)

Introduction to automation & key tools (n8n, Make, Zapier, LangChain, LangGraph, Flowise)

Understanding and utilizing APIs for automation

OpenAI API: Pricing structure, compliant usage & project setup

Function calling with LLMs: Using calendars, emails, web search, webhooks, Airtable, Google Sheets & more

Everything about vector databases, embedding models & Retrieval-Augmented Generation (RAG)

n8n Basics & Automation Applications

Basics of n8n: Installation, importing, exporting & selling workflows

Automations with Airtable, Google Sheets & Google Cloud

Using simple JavaScript variables in automation

Expanding AI automation with LLMs: Email automation, sentiment analysis, databases

Integrating open-source LLMs (Deepseek R1, Llama, Mistral) into automation

Using external LLM APIs in n8n (Deepseek API, Groq API & more)

AI Agents & RAG Chatbots in Workflows

Integrating AI agents & RAG chatbots into workflows

Automated vector database updates with Google Drive

RAG chatbot with AI agent node, embeddings & retrieval techniques

AI-powered email agents for automated summaries & responses

Prompt engineering: Principles, best practices & avoiding errors

Hosting, Social Media & Advanced Automations

n8n self-hosting with Render & other options

Using AI agents in WhatsApp, Telegram & social media

Web scraping & automation with sub-workflows & webhooks

Debugging strategies for error-free n8n automation

Connecting Flowise AI agents with webhooks & Google Sheets

Extending n8n with Flowise & JavaScript custom tools

Business & Market Aspects of AI Automation

AI automation as a business: Selling automation & AI agents

Creating market-ready RAG bots for lead generation & website integration

Marketing strategies for successfully selling AI solutions

Optimizing RAG chatbots: Chunk size, overlap & data quality

LlamaIndex & LlamaParse for data preprocessing in Google Colab

Using Firecrawl for web data extraction in Markdown format

Security, privacy & ethical concerns: Jailbreaks, prompt injections & data poisoning

Copyright & data protection for AI-generated data

Legal frameworks: EU AI Act & more

Requirements

No prior knowledge required, everything is shown step by step.

Description

AI Automation is the Future!But how does it really work? And how can AI optimize business processes—on a whole new level, far beyond ChatGPT? The answer: AI Agents.This course guides you through both essential and advanced concepts in automation using AI automation, AI agents, LLMs, vector databases, Retrieval-Augmented Generation (RAG), and n8n. You'll learn how to create powerful automations, build intelligent AI agents, and seamlessly integrate them into your workflows to enhance both business and personal projects.Additionally, you'll receive 29 downloadable JSON workflows to accelerate your learning and implementation.What You’ll Learn in This Course:Fundamentals of Automation, AI Agents & LLMsDive into the world of AI automation:Introduction to automation, AI agents & essential tools (n8n, Make, Zapier, LangChain, LangGraph, Flowise).Understanding APIs and their role in automation.LLMs explained: ChatGPT, Claude, Gemini, Deepseek, Llama, Mistral & more.OpenAI API: Pricing structure, GDPR-compliant usage & project setup.Function calling with LLMs: How AI agents use tools like calendars, emails, web search, webhooks, Airtable, Google Sheets, and more.RAG (Retrieval-Augmented Generation): Vector databases & embeddings explained.n8n Basics: Installation & First WorkflowsMaster the fundamentals of n8n, the key to intelligent automation:Local installation with Node.js & using the web version without installation.Importing, exporting, and selling workflows.Setting up automations with Airtable, Google Sheets & Google Cloud.Using simple JavaScript variables in automation.Expanding AI Automation with LLMsBuild advanced AI-powered automations:Email automation with OpenAI API, Gmail, and Airtable.Real-time sentiment analysis & database storage.Integrating open-source LLMs (Deepseek R1, Llama, Mistral) into automation.Using any LLM API in n8n (Deepseek API, Groq API & more).Integrating AI Agents & RAG Chatbots into WorkflowsAutomate customer communication & data processing:RAG Agent: Automatically updating vector databases with Google Drive.RAG Chatbot using AI agent nodes, embeddings & retrieval techniques.AI-powered email agents for automated summaries & responses.Prompt Engineering for AI AgentsOptimize your prompts for better AI responses:Principles & best practices for effective prompt engineering.Avoiding errors & precisely controlling AI outputs.Hosting, Social Media & Advanced AutomationsExpand your automations with self-hosting & real-time integrations:n8n self-hosting with Render & other options.Using AI agents in WhatsApp & Telegram.Social media automation with sub-workflows, webhooks & web scraping.Debugging & Optimizing API IntegrationsEnhance performance & error handling in n8n workflows:Debugging strategies for error-free n8n automations.Connecting Flowise AI agents with webhooks & Google Sheets.Extending n8n with Flowise & JavaScript custom tools.Building a Business with AI Automation & AI AgentsLeverage your skills to create a profitable AI automation business:Selling automations & AI agents as services.Developing market-ready RAG bots for lead generation & website integration.Marketing strategies for successfully selling AI solutions.Optimizing RAG Chatbots: Data Quality & ChunkingImprove AI responses with optimized data strategies:Chunk size, overlap & data quality for better chatbot performance.Using Firecrawl for web data extraction in Markdown format.LlamaIndex & LlamaParse for data preprocessing in Google Colab.Security, Privacy & Ethical ConsiderationsProtect your AI agents & ensure GDPR compliance:Understanding & preventing jailbreaks, prompt injections & data poisoning.Ensuring copyright & data protection for AI-generated content.Key legal frameworks: EU AI Act & moreAdditionally, you'll gain access to 29 ready-to-use JSON workflows, available for download to streamline your learning experience and accelerate implementation.Become an Expert in AI Agents & Automation!After this course, you will have a deep understanding of AI automation, n8n, LLMs & RAG and be able to develop, optimize, and deploy powerful AI agents for business applications.Sign up now and step into the future of AI automation.

Overview

Section 1: Introduction

Lecture 1 Welcome!

Lecture 2 Course Overview

Lecture 3 Important Tips for the Course

Lecture 4 Explanation of the Links that you need in the Course

Lecture 5 Important Links

Section 2: Basics – Automation, LLMs, Function Calling, Vector Databases & RAG Explained

Lecture 6 What to Expect in This Section

Lecture 7 What Are Automations, AI Automation, and AI Agents?

Lecture 8 What Is an API (Client and Server)

Lecture 9 Tools for Automation & AI Agents: n8n, Make, Zapier, LangChain, Flowise & More

Lecture 10 What are LLMs like ChatGPT, Claude, Gemini, Llama, Deepseek, Grok etc.

Lecture 11 OpenAI API Explained: Pricing, Project Setup, Management & Compliance

Lecture 12 Test Time Compute (TTS) Explained: Thinking Models like Deepseek R1 & OpenAI o3

Lecture 13 What is Function Calling in LLMs for AI Agents and AI Automations

Lecture 14 Vector Databases, Embedding Models & Retrieval-Augmented Generation (RAG)

Lecture 15 Key Takeaways

Section 3: n8n Basics – Installation, Interface & First Simple Workflows

Lecture 16 What This Section Covers

Lecture 17 Local Installation of n8n with Node.js & Interface Overview

Lecture 18 Managing Node Versions (Fixing Errors in n8n Installation)

Lecture 19 Updating n8n Locally via Node.js

Lecture 20 Testing n8n for Free Without Local Installation

Lecture 21 First Automation: Automatically Save Bookings from On Form Submit in Airtable

Lecture 22 Importing, Exporting, and Selling Workflows as JSON

Lecture 23 Automatically Backing Up Airtable Data Locally

Lecture 24 Connecting Google Sheets with n8n (Google Cloud Platform Console)

Lecture 25 Recap

Section 4: Expanding Automations with LLMs & AI

Lecture 26 Overview of This Section

Lecture 27 Email Automation for Customer Bookings with OpenAI (ChatGPT) Gmail & Airtable

Lecture 28 Sentiment Analysis with LLMs & Storing Data in Airtable: OpenAI API

Lecture 29 Using Open-Source LLMs with Ollama: Deepseek R1, Llama, Mistral & More

Lecture 30 Integrating Any LLM into n8n via APIs: Deepseek API, Groq, Gemini, Claude & More

Lecture 31 Recap of Automations with LLMs in n8n

Section 5: AI Agents & RAG Chatbots in Your Automations & Email Automation

Lecture 32 What to Expect in This Section

Lecture 33 RAG Agent (Part 1): Automatic Vector Database Updates with Google Drive

Lecture 34 RAG Chatbot (Part 2): AI Agent Node, Vector Database, Embeddings & More

Lecture 35 Email Agent with Sub-Workflows, Vector Database, Google Sheets & More

Lecture 36 The Fastest Way to Build an Email Agent!

Lecture 37 Automatically Summarizing All New Emails of the Day with LLMs at 7AM

Lecture 38 AI-Powered Email Automation: Filtering Messages & Auto-Replying

Lecture 39 Recap & Practical Task

Section 6: Prompt Engineering for AI Agents & AI Automations

Lecture 40 Prompt Engineering for AI Agents & AI Automations (Systemprompts)

Lecture 41 Key Principles of Prompt Engineering for AI Agents & Automations (Atricle)

Section 7: Hosting & Tool Integration: Telegram, WhatsApp, Calendar, Scraping & More

Lecture 42 Hosting n8n: Self-Hosting with Render & Other Options

Lecture 43 Integrating AI Agents & Automations into WhatsApp

Lecture 44 Code Snippet (Dynamic Expression) for WhatsApp as Download

Lecture 45 Using AI Agents & Sub-Workflows with Telegram Trigger Node

Lecture 46 Telegram Agent: Automating Emails, Calendars & More via Voice & Text

Lecture 47 Push the Boundaries: Big AI-Agent that can talk and automate everything

Lecture 48 More Practical Examples. Social Media Automation, Scraping, Crawling & More

Lecture 49 My BEST Tip for Building and Prompting AI-Agents

Lecture 50 Recap

Section 8: Debugging Workflows & Integrating Other Apps/APIs with HTTP Requests & Webhooks

Lecture 51 What to Expect: Debugging & Controlling n8n from Other Apps with Webhooks

Lecture 52 Finding Errors in n8n Workflows with This Automation (Debugging n8n)

Lecture 53 Flowise AI Agent & n8n Webhook: Integrate Sheets with JavaScript & HTTP request

Lecture 54 JavaScript Code for the Flowise Custom Tool as Download (fetch for HTTP-Request)

Lecture 55 One more example for Webhooks and HTTPS request

Lecture 56 Recap of Webhooks, HTTP Requests and Error Trigger Nodes

Section 9: Integrate Apps in Websites and Build a Business with AI Automation & AI Agents

Lecture 57 Overview of This Section: AI Automation as a Business

Lecture 58 What AI Automations & Agents Can Be Sold?

Lecture 59 Market-Ready RAG Bot for Lead Generation (n8n, Pinecone & Google Sheets)

Lecture 60 RAG Lead Bot as a Standalone App with a Published URL

Lecture 61 Integrating RAG Bots into Websites: HTML, WordPress & Custom CSS Branding

Lecture 62 Selling Automations & AI Agents: Marketing, Offers, Price, Sales & More

Lecture 63 Web Scraping with Software – Quickly Find Many Leads

Lecture 64 Summary & Additional Tips

Section 10: Optimizing RAG Chatbots – Data Quality, Chunk Size, Overlap, Embeddings & More

Lecture 65 Optimizing RAG Chatbots: Data Quality, Chunk Size, Overlap, Embeddings & More

Lecture 66 Scraping Webpages and Converting HTML & PDFs to Markdown for Better RAG

Lecture 67 Efficient RAG with LlamaIndex & LlamaParse: Data Preparation for PDFs & CSVs

Lecture 68 Chunk Size and Chunk Overlap for your Embeddings (Better RAG Application)

Lecture 69 Recap: Data Quality, Chunk Size, Overlap, Embeddings for betther RAG

Section 11: Problems, Security & Compliance – Copyright, Data Protection, GDPR & EU AI Act

Lecture 70 First Problems and what will we Learn in this Section?

Lecture 71 Jailbreaks: A Method to Hack LLMs and AI-Agents & Automations with Prompts

Lecture 72 Prompt Injections: Another Security Vulnerability of LLMs, Agents & Automations

Lecture 73 Data Poisoning and Backdoor Attacks

Lecture 74 Copyrights & Intellectual Property of Generated Data from AI Agents

Lecture 75 Privacy & Protection for your own and Client Data

Lecture 76 Censorship, Alignment & Bias in LLMs: Deepseek, ChatGPT, Claude, Gemini, Dolphin

Lecture 77 License of n8n: Can you sell AI agents, AI Automations or the Codebase from n8n?

Lecture 78 EU & US Compliance: GDPR (DSGVO), CCPA/CPRA & the EU AI Act

Lecture 79 Overview of the EU AI Act for ChatBots & AI Agents + CCPA/CPRA (Deep Research)

Lecture 80 DSGVO (GDPR) Compliance for Chatbots & AI Agents + CCPA/CPRA (Deep Research)

Lecture 81 Recap Important Points to Remember

Section 12: What’s Next?

Lecture 82 Recap, Thank You & Next Steps

For entrepreneurs who want to become more efficient, save money, or build an AI business.,For anyone eager to learn something new and gain deep insights into AI automation.,For individuals interested in AI and automation who want to build their own agents.,For developers and data scientists who want to stay on top of GenAI, automation, AI agents, and frameworks.,For anyone looking to automate tasks.