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



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

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