Use n8n to build your own AI customer service and intelligent Q&A system, with hands-on implementation into everyday enterprise workflows! Workshop Objectives
Resolve the confusion and difficulties of adopting AI in the enterprise
Learn to integrate LLM, RAG, and n8n technologies through hands-on practice
Build a deployable AI Agent system
Boost work efficiency right away and put automation workflows into practice
Course Structure Module 1: AI Theory and Industry-Trend Insights
What is an AI Agent? How is it different from ChatGPT?
An introduction to LLM, RAG, and n8n technology applications
Real enterprise case study: the transformation journey from customer service to internal training
Analyzing the potential value and limitations of industry automation
Module 2: Hands-On with AI Development and Integration Tools
Get to know the automation powerhouse n8n and its architectural thinking
A walkthrough of the UI environment and node logic
Setting up API connections to AI models (such as OpenAI, Gemini, and Ollama)
Integrating data sources (PDF, Notion, internal knowledge bases) to build an FAQ query system
Q&A logic flow design and hands-on prompt optimization
Module 3: Hands-On Enterprise Scenarios and Deployment
Hands-on: build your first enterprise-exclusive AI Agent
Testing and tuning: optimizing response quality and accuracy
Hands-on task: deploy it into an internal process (such as form replies and knowledge lookup)
Extended applications and a demo SOP for rolling it into enterprise internal training
Concrete Learning Outcomes
- Learn to use n8n to design AI automation workflows
- Complete a customized AI Agent project
- Apply it to real enterprise customer-service, sales, and internal-management tasks
