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
Enterprise AI Agent Adoption Course — The AI Tool Integration Champion|3-Hour Online
TigerAI offers professional in-person AI courses, covering all kinds of AI applications, enterprise digital transformation, and more. Courses are taught directly by senior industry instructors and paired with hands-on exercises, helping students apply AI technology to their actual work.
Each course includes complete handouts and learning resources, plus a follow-up community for extended technical discussion.
