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