AI has rapidly become a core competency for modern managers. Today, the real challenge is not understanding what AI is but learning how to use it effectively in real workflows in the China market. 



The AI Fluency for Managers master class is designed for non-technical managers working in multinational companies. This program focuses on practical, hands-on AI usage to enhance personal productivity, accelerate decision-making, and embed AI into everyday processes. 

• Use AI with Confidence: Learn practical workflows for research, planning, analysis, writing, and communication.
• Upgrade Your Workflow: Build AI-assisted methods that save time, improve clarity, and boost work quality using both publicly available tools and internal solutions.
• Build Your AI Toolkit: Create a toolkit of LLMs and SaaS solutions to help create presentations, conduct research, analyze data, create content, summarize notes, and other tasks.
• Learn Vibe Coding: Use no-code AI platforms to build your own custom efficiency-improving applications.
• Lead with Confidence: Gain the skills and credibility to guide your team in responsible, effective AI use and to communicate confidently with leadership in China and at headquarters about AI adoption.

• China's AI solution ecosystem
• Practical prompt engineering best practices
• Building a personal AI toolkit for daily workflow efficiency
• No-code "vibe coding" for building custom AI applications
• Risk, security, and compliance considerations
• Creating team guidelines to scale AI adoption

Module 1: AI Foundations

Tool setup and working habits

·   Compare public LLM vs enterprise chatbot

·      Save reusable prompts and output templates

·      Build a "daily tasks" AI checklist

·      Create your personal quality-control routine

Module 2: Mastering Prompt Engineering

Prompt structure for reliable outputs

·      Define goal, audience, and success criteria

·      Provide context, constraints, and examples

·      Specify output format: table, bullets, slides

·      Add tone, length, and style requirements

Advanced prompting skillset

·      Role prompting: analyst, editor, consultant

·      Multi-step prompting for complex tasks

·      Ask for assumptions and uncertainty flags

·      Request alternatives and trade-off comparisons

·      Force citation-like source notes

Prompt refinement and reuse

·      Debug weak outputs with targeted follow-ups

·      Create prompt templates for repeatable tasks

Build a personal prompt library by scenario

Module 3: SaaS Solutions for Managers

Note-taking and knowledge management

·      Capture meeting notes with structured templates

·      Auto-summarize discussions into action items

·      Build searchable personal knowledge bases

Image and visual content creation

·      Generate diagrams and simple illustrations

·      Create social, internal, and presentation visuals

·      Edit images using natural-language instructions

·      Convert text descriptions into visual assets

Task, planning, and workflow tools

·      Break goals into tasks and milestones

·      Track progress with AI-assisted prioritization

·      Generate timelines and dependency maps

Meeting and communication support

·      Summarize calls into structured meeting outputs

·      Extract decisions, risks, and follow-up tasks

·      Draft recap emails and stakeholder updates

Module 4: AI for Data & Excel

Cleaning, restructuring, summarizing data

·      Identify missing values and inconsistent formats

·      Propose data cleaning steps and rules

·      Standardize categories and naming conventions

·      Create summary tables for leadership updates

Excel formula and analysis support

·      Generate formulas: XLOOKUP, IF, SUMIFS

·      Build KPI dashboards using structured tables

·      Draft commentary: drivers, anomalies, implications

Validating AI-generated insights

·      Check results against raw data samples

·      Identify assumptions and possible confounders

·      Flag low-confidence findings for follow-up

Module 5: No-Code AI Assistants and Vibe Coding

Designing a useful AI assistant

·      Select one workflow with clear ROI

·      Define inputs, outputs, and success criteria

·      Break tasks into repeatable step sequences

·      Add guardrails for sensitive information

Building no-code workflows

·      Build a reporting assistant with structured outputs

·      Connect tools: docs, tables, web sources

·      Test with real examples and edge cases

Improving reliability and quality

·      Add verification steps and human checkpoints

·      Handle exceptions and unclear user inputs

·      Create versioned templates for continuous upgrades

·      Document usage instructions for team handoff