2.6Leadership & EntrepreneurshipSession 2 · Data Engineering & Machine Learning

Technical and intercultural communication

10classes30htotalTH1 · PR1 · PNW1weighting per class

Class-by-class breakdown

10 classes

TH = theory · PR = practical · PNW = personal work. These are ministry weighting codes (not hours) used to split each class's minutes. Class length = course hours ÷ class count; the three time-boxes below always sum to that length.

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First 2 classes free with a referral 9 more with enrollment180 min per classTheory 60mPractical 60mPersonal Work 60m
1

Communicating About AI Across Cultures — Why It Matters Now

FreeTH1PR1PNW1

An AI Integration Manager rolling out agents across a global team must bridge both cultural and technical gaps — the cost of misunderstanding doubles when AI is involved.

Theory60m
  • Intercultural communication reframed for AI adoption: culture + technical literacy
  • How cultural style affects trust in automated decisions and agent outputs
  • The cost of cultural and technical misunderstandings in AI projects
Practical60m
  • Reflect on a team you've been part of and note one cultural difference in how people receive AI-generated answers
  • Identify one habit you'd adapt when introducing an AI tool to a diverse team
Personal Work60m
  • Write a short note on why cultural awareness matters when your future role deploys AI agents
  • Micro-task: submit your note
2

Explaining Agents and Tool-Calling to Non-Technical Stakeholders

LockedTH1PR1PNW1

Locked class preview

A Project Manager who can explain what an agent does — and what it can't — in plain language earns stakeholder trust instead of fear

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3

Documenting Agent Workflows for Global Teams

LockedTH1PR1PNW1

Locked class preview

An AI Integration Manager writing docs for a global team must make agent workflows clear, consistent and translatable — good docs reduce support load everywhere

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4

Presenting RAG and Agent Designs to Diverse Audiences

LockedTH1PR1PNW1

Locked class preview

A Digital Marketing Strategist presenting a RAG-backed campaign tool to a mixed, multicultural audience must adapt — one depth level never fits all

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5

Feedback and Conflict When Teams Disagree About AI

LockedTH1PR1PNW1

Locked class preview

A Sales and Marketing Manager giving feedback across cultures about an AI output must balance honesty with respect — disagreements about AI trust can damage relationships

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6

Async Communication for Distributed AI Projects

LockedTH1PR1PNW1

Locked class preview

A Project Manager leading a distributed AI team must master async communication — time zones make sync meetings impossible, and agent dev moves fast

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7

Inclusive Language and Accessibility in AI Communication

LockedTH1PR1PNW1

Locked class preview

An E-commerce Director who uses inclusive, accessible language reaches more users — and avoids embedding bias in AI prompts and docs

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8

Communicating AI Risk, Limits and Responsible Use

LockedTH1PR1PNW1

Locked class preview

A Data/Business Analyst who honestly communicates an agent's limits — hallucinations, bias, data privacy — protects both users and the business

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9

Putting It Together — A Cross-Cultural AI Project Presentation

LockedTH1PR1PNW1

Locked class preview

A Data/Business Analyst who delivers a presentation about an AI project adapted for a diverse, global audience proves the skill is real — not theoretical

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10

Present and Reflect — Your AI Communication Toolkit

LockedTH1PR1PNW1

Locked class preview

An AI Integration Manager who reflects on their communication growth builds a portable toolkit for leading AI adoption across cultures

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