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Unclaimed ProfileThis comprehensive course on AI Automation offers a deep dive into building production-ready LLM applications and advanced AI agents using n8n and API integrations. Designed for developers, digital entrepreneurs, and automation enthusiasts, the program bridges the gap between raw artificial intelligence and practical business solutions. You will explore the core fundamentals of workflow automation, shifting away from standard chat interfaces to design self-operating systems. The curriculum covers essential integration strategies with leading LLM providers, including OpenAI, Claude, Gemini, and open-source models like Deepseek and Llama via Ollama. By mastering n8n, you will learn to connect external tools, construct multi-step Retrieval-Augmented Generation (RAG) pipelines, manage vector databases, and implement secure function calling. Additionally, the course addresses critical real-world challenges, such as handling webhooks, parsing complex documents with LlamaIndex, utilizing Firecrawl for web scraping, and securing systems against prompt injections. Beyond technical deployment, it covers the commercial side of AI, offering actionable insights on how to package, market, and sell automated workflows as a professional service while navigating compliance standards like the EU AI Act.
About the creator
Arnold Oberleiter
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Arnold Oberleiter is a technical educator and developer specializing in cutting-edge AI technologies, autonomous agents, and practical automation tools. His instructional style bridges the gap between complex theoretical concepts and direct, hands-on application. He specializes in breaking down advanced paradigms—such as LLMs (ChatGPT, Gemini, Claude), local deployment of diffusion models, agentic workflows with n8n and LangChain, and integrating AI into daily productivity, investing, and development. By focusing on real-world utility, Arnold guides his students through building tangible local AI architectures, securing autonomous agent installations, and implementing API integrations. He teaches with a pragmatic, project-driven approach, designed to strip away the…Show more
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Program Overview
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Price may change · updated within 1–2 weeks
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Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
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
Best For
- Developers and automation specialists looking to build production-grade AI agents using n8n.
- Entrepreneurs wanting to package and sell custom AI automation workflows as a professional service.
- Technical professionals who need to implement advanced RAG pipelines and vector database integrations.
- Individuals aiming to move beyond basic chatbot prompts to create self-operating business systems.
Not For
- Absolute beginners who have never used low-code platforms or basic automation tools.
- Those looking for a non-technical overview of AI without hands-on coding or API integration.
- Users exclusively seeking no-code solutions who are unwilling to learn basic JavaScript for n8n.
- Students expecting a theory-only course without practical implementation of workflows.
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