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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