Udemy

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

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  • 47,629 Students
  • Updated 11/2025
4.7
(6,612 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
14 Hour(s) 26 Minute(s)
Language
English
Taught by
Arnold Oberleiter
Rating
4.7
(6,612 Ratings)
4 views

Course Overview

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

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

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 & LLMs

Dive 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 Workflows

Master 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 LLMs

Build 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 Workflows

Automate 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 Agents

Optimize your prompts for better AI responses:

  • Principles & best practices for effective prompt engineering.

  • Avoiding errors & precisely controlling AI outputs.

Hosting, Social Media & Advanced Automations

Expand 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 Integrations

Enhance 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.

MCP Quickstart: Build Smarter AI Agents with Model Context Protocol

Learn to integrate MCP into your n8n workflows:

  • What MCP is and how Server & Client interact

  • Hosting AI agents with Clade Desktop and MCP

  • Using MCP Server & Host directly inside n8n

Building a Business with AI Automation & AI Agents

Leverage 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 & Chunking

Improve 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 Considerations

Protect 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 & more

Additionally, 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!

Course Content

  • 10 section(s)
  • 92 lecture(s)
  • Section 1 Introduction
  • Section 2 Basics – Automation, LLMs, Function Calling, Vector Databases & RAG Explained
  • Section 3 n8n Basics – Installation, Interface & First Simple Workflows
  • Section 4 Expanding Automations with LLMs & AI
  • Section 5 AI Agents & RAG Chatbots in Your Automations & Email Automation
  • Section 6 Prompt Engineering for AI Agents & AI Automations
  • Section 7 Hosting & Tool Integration: Telegram, WhatsApp, Calendar, Scraping & More
  • Section 8 Debugging Workflows & Integrating Other Apps/APIs with HTTP Requests & Webhooks
  • Section 9 MCP QuickStart
  • Section 10 Integrate Apps in Websites and Build a Business with AI Automation & AI Agents

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

Reviews

  • R
    Robert Barrett
    4.5

    A great overview of N8N and associated topics. Ample scope to try out any ideas you get along the way. A good introduction to key concepts, knowing that more individual work is required to master the issues and topics covered. As a demonstration of the AI's uses and power and RAG in particular it is a very good sweetspot of time vs getting to the point. It certainly has made me think of many use cases and I am keen to learn more. Some notes would be: You can use google Gemini for free if you run out of free API credits on N8N, just custom the pinecone database and use 768 as the dimension. Google gemini instead of openapi performed just as well for the video content in the course. So you can do this for free quite easily and get a lot of learning for a great price!

  • P
    Patrice VIOTTI
    5.0

    Excellent training; the instructor is very competent. The information was clear and detailed.

  • Z
    Zoltán Gyula Tóth
    5.0

    Hi Neighbour (I’m from Hungary 🙂), Thank you for this great course. I’m only halfway through, but I can already see that it’s excellent, and I’ve learned a lot so far. It’s absolutely worth it. I’m looking forward to learning the rest of the material. Best regards!

  • S
    Sayujya Gupta
    4.0

    Everything was well explained, and he didn't miss anything that was needed. However, some of the sections of this course have been outdated as of November, 2025. One star deduction there

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