Course Outline
Day 1: AI Chatbot × Enterprise Applications (6 hours)
Topic 1: The Technical Fundamentals of AI Chatbots
- Large Language Models (LLMs)
- RAG (Retrieval-Augmented Generation)
- Multi-Agents (multi-agent architecture)
- Fine-Tuning
Topic 2: AI Chatbot Development and Tools
- Prompt Engineering
- n8n automation applications
- LINE Chatbot development
- Llama 3 / Ollama open-source AI assistant
- Managing chatbots with Open WebUI
Topic 3: Real-World AI Industry Cases
- Prompt Engineering
- n8n automation applications
- LINE Chatbot development
- Llama 3 / Ollama open-source AI assistant
- Managing chatbots with Open WebUI
Day 2: AI × RPA × n8n Automation Workflows (6 hours)
Topic 1: AI × RPA Theory and Application Cases
- AI × RPA theory
- Sharing n8n application cases
Topic 2: n8n Tool Tutorial
- How to set up n8n and use the editor UI
- Build your first workflow
- How n8n structures data
- How to configure different node parameters and add credentials
- When and how to use conditional logic in a workflow
- How to schedule and control workflows
- How to import, download, and share workflows with others
Topic 3: Enterprise n8n Workflow AI in Practice
- Understand enterprise needs and design and build workflows accordingly
- A demo of a RAG AI Q&A bot, with code provided
Build an Enterprise AI Chatbot: Master Theory, Tools, and Hands-On Practice in Two Days｜6-Hour In-Person + 6-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.
