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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 T

NT$12,000.00 Regular Price
NT$10,000.00Sale Price
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