AI tools like ChatGPT are already shaping how project reports are written, plans are prepared, and decisions are supported — often quietly, without structure or accountability.

In many Bangladesh organisations, AI is being used faster than it is being governed. Project leads approve outputs they didn’t validate. Teams rely on insights they don’t fully understand. Responsibility becomes unclear when things go wrong.

This 120-minute live micro course is designed for non-technical project, operations, supply chain, and IT leads who want to use AI responsibly, not recklessly.

You won’t learn coding.
You won’t hear theory-heavy ethics lectures.

Instead, you’ll learn how to recognise AI risks inside real projects, apply a simple governance framework, and use a practical checklist to protect your work, your decisions, and your professional credibility — starting immediately.

Course Objectives

By the end of this session, participants will be able to:

• Identify where AI-related risks already exist in their projects

• Distinguish between AI assistance and AI decision-making

• Govern AI usage ethically at project level (without technical background)

• Apply a simple risk framework before trusting AI outputs

• Take clear accountability as a project lead in AI-supported work

Structured Course Outline 

Module 1 : Why AI Is Now a Project Risk

• How AI quietly enters reports, planning, analysis, and vendor work

• Why unmanaged AI increases delivery, compliance, and reputational risk

Module 2 : The 5 AI Risk Categories Project Leads Must Know

• The most common AI risks in Bangladesh corporate projects

• Separating fear from real operational exposure

• Real-world failure story: “The perfect AI report that misled leadership”

 Module 3 : Ethical AI Governance — Your Responsibility

• What “ethical AI” means in day-to-day project work

• Who is accountable when AI outputs cause damage

• Project lead vs IT vs vendor responsibility

Tool: Project-Level AI Responsibility Matrix

Module 4 : The Practical AI Risk Checklist

• A 10-question checklist to validate AI use before approval

• When AI output is acceptable — and when it’s not

• Applying the checklist to a real project task

Module 5 : Using AI Safely Without Slowing Projects

• How to keep AI as an assistant, not a decision-maker

• Personal governance rules you can apply from tomorrow

• Closing reflection: one AI habit you will change

Why Should You Join?

• Because AI risks are already affecting project outcomes

• Because ethical governance is becoming a leadership expectation

• Because project failure often comes from unchecked assumptions

• Because you don’t need IT knowledge to manage AI responsibly

• Because smart governance protects both results and reputation

Who Should Join?

This course is ideal for:

• Project managers and project leads

• Operations and transformation managers

• Supply chain and process improvement professionals

• IT coordinators and digital project owners

• Cross-functional team leads working with AI-enabled tools

• Early to mid-career professionals preparing for leadership roles

What You’ll Walk Away With

• A clear understanding of AI risks in everyday project work

• A practical, non-technical AI risk framework

• A ready-to-use AI risk checklist

• Confidence to govern AI use ethically and responsibly

• Stronger decision-making credibility as a project lead

• A Certificate of Participation from KnowledgeBeez