Course Positioning
Course Objectives
 
 
 
 
Understand the industry trend of "AI First" and the logic of organizational transformation
 
 
 
 
Learn to use the MCP architecture and n8n tools to build enterprise-exclusive AI workflows
 
 
 
 
Hands-on building of AI Agent automated task workflows to boost departmental operational efficiency
 
 
 
 
Help students understand how to shift from "human-led" to an efficient "human-machine co-governance" collaboration model
 
 
 
 
 
Course Structure
 
Module 1: The Wave of Transformation in the AI First Era
 
 
 
 
Understand the industry trends and applications of AI First
 
 
 
 
Analyze the evolution of technology waves (Internet → Mobile → AI)
 
 
 
 
Understand the difference between AI Transformation and Digital Transformation
 
 
 
 
Build the mindset that "AI isn't just a tool—it's a decision-making partner"
 
 
 
 
 
Module 2: Hands-On Adoption of MCP and AI Agents
 
 
 
 
Understand the MCP Server / Client architecture and how it works
 
 
 
 
Get to know the MCP Protocol and how multilingual AI Agents communicate
 
 
 
 
Analyze collective-intelligence architectures such as ClaudeFlow and HiveMind
 
 
 
 
Hands-on: build your own AI task-execution architecture and launch an MCP workflow
 
 
 
 
 
Module 3: Hands-On n8n Automation Workflows and Private Cloud
 
 
 
 
Introduce the n8n automation tool and the Zeabur and Docker installation environments
 
 
 
 
Build an on-premises private-cloud automation architecture (data stays in-house, with security controls)
 
 
 
 
Use n8n combined with MCP Trigger to implement a complete AI workflow
 
 
 
 
Showcase real enterprise use cases: intelligent customer service, knowledge organization, and task-execution automation
 
 
 
 
 
Module 4: AI Co-Creation Mindset and Organizational Restructuring
 
 
 
 
Explore how AI reshapes the processes of decision-making, collaboration, and creativity
 
 
 
 
Simulate the operating logic of "human-machine collaboration" within an enterprise
 
 
 
 
Build an "AI partner" mindset and translate it into an enterprise AI strategy
 
 
 
 
 
Course Highlights
 
✅ Industry-level perspective: grasp everything from transformation theory to enterprise application at once
 
✅ Hands-on focus: operate n8n + MCP live and build an AI automation workflow right away
 
✅ High-security implementation: on-premises deployment with no data leakage, meeting enterprise information-security needs
 
✅ Strengthened strategic thinking: evolve from using tools to driving organizational change
 
 
 
Learning Outcomes
 
 
 
 
Be able to clearly distinguish the core differences between DX (digital transformation) and AX (AI transformation)
 
 
 
 
Build a working AI Agent or automation workflow (MCP + n8n)
 
 
 
 
Build an enterprise AI-adoption architecture mindset and be able to plan departmental-level deployment solutions
 
 
 
 
 
Who Should Attend
 
 
 
 
Business owners and decision-making managers who want to adopt AI
 
 
 
 
Technical or operations managers who want to optimize processes
 
 
 
 
Teams currently planning an AI project or automation adoption
 
 
 
 
Enterprise consultants and trainers who want to move from digitalization to AI