AI Automation: Build LLM Apps & AI-Agents with n8n & APIs
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 & 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.
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.
Who this course is for:
- 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.
Instructor
- 4.7 Instructor Rating
- 24,636 Reviews
- 142,231 Students
- 53 Courses
English text below the German text!
Hallo zusammen!
Ich bin Arnold "Arnie" Oberleiter, ein leidenschaftlicher Dozent im Bereich Künstliche Intelligenz.
Es ist mein Ziel, mein Wissen und meine Begeisterung für KI mit euch zu teilen.
Ich glaube fest daran, dass ein tiefes Verständnis von KI einen enormen Vorteil in unserer technologiegetriebenen Welt bietet. Ich befasse mich mit LLMs (die Technologie hinter ChatGPT) bereits seit 2018-2019, als es mit BERT und GPT-2 losging.
Neben KI habe ich eine große Leidenschaft für Trading, Makroökonomie, Kryptowährungen und Investieren. Die Welt der Finanzen fasziniert mich durch ihre Komplexität, die dahinterliegende Psychologie und Technologie.
In meinen Kursen könnt ihr nicht nur von meiner Expertise profitieren, sondern auch von meiner ständigen Verfügbarkeit, um eure Fragen zu beantworten und euch auf eurem Lernweg zu begleiten.
Ich freue mich darauf, euch in meinen Kursen zu begrüßen und gemeinsam in die spannende Welt der KI und Finanzen einzutauchen.
Herzliche Grüße,
Euer Dozent,
Arnie
English:
I am Arnold 'Arnie' Oberleiter, a passionate lecturer in the field of Artificial Intelligence.
My goal is to share my knowledge and enthusiasm for AI with you. I firmly believe that a deep understanding of AI offers a tremendous advantage in our technology-driven world. I have been involved with LLMs (the technology behind ChatGPT) since 2018-2019, when it started with BERT and GPT-2.
Besides AI, I have a great passion for trading, macroeconomics, cryptocurrencies, and investing. The world of finance fascinates me with its complexity, the underlying psychology, and technology.
In my courses, you can not only benefit from my expertise but also from my constant availability to answer your questions and accompany you on your learning journey.
I look forward to welcoming you to my courses and diving together into the exciting world of AI and finance.
Warm regards,
Your instructor, Arnie