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Course Curriculum
What is AI: The "Black Box" Opened
This introductory module explains what AI really is in simple, practical terms—how it works, how it differs from traditional software, and why it’s rapidly spreading across industries—so learners can confidently separate genuine capability from hype.
AI Types: The Two Brains
This module demystifies predictive and generative AI by explaining what each does, where they’re used, and why organizations choose them, using clear real‑world examples to show how AI supports forecasting, automation, content creation, and decision‑making without requiring any technical background.
AI Across Industries
Coming SoonThis module shows how AI is already transforming everyday work across industries—from healthcare to construction—using practical examples to help you recognize where AI is shaping your role today, where it’s likely to impact your organization next, and how to use it effectively.
Introduction to AI Tools
Coming SoonThis module offers a hands‑on introduction to everyday AI tools—teaching you how to prompt effectively, understand their strengths and limitations, and use them thoughtfully to support productivity, problem‑solving, and decision‑making without needing any technical background.
Safe and Responsible AI Use
Coming SoonThis module teaches you how to use AI responsibly by understanding where it can fail—covering data quality issues, bias, inaccuracies, and red‑flag warning signs—so you can apply AI effectively while keeping human judgment at the center.
Data Fundamentals - Privacy, Security and Sovereignty
Coming SoonThis module builds your awareness of data‑related risks in AI by explaining how privacy, security, and ownership issues arise—and using practical scenarios to show how to spot sensitive data exposure, apply good data‑handling habits, and make safer decisions when using AI tools at work.
AI and Intellectual Property
Coming SoonThis module explains how ownership, copyright, and accountability apply to AI‑generated content—clarifying how current rules treat AI outputs, what responsibilities remain with people and organizations, and what to consider when using AI in workplace or business contexts so you can make informed, practical decisions about ownership and appropriate use.