AI Literacy
What AI actually is — and isn't
No math, no code. Build a rock-solid mental model of what AI can do, how it works at a high level, and where it fails.
Beginner4 modules · 14 lessons~90 min785 XPAligned with Elements of AI (Univ. of Helsinki)
Progress0/14
Module
What Is AI?
Definitions, history, and the modern landscape
Intelligence & Machines6 min · 50 XPIntelligence & Machines
What AI Can & Can't Do7 min · 60 XPWhat AI Can & Can't Do
How Machines Learn8 min · 70 XPHow Machines Learn
Narrow AI vs AGI6 min · 60 XPNarrow AI vs AGI
Module
How AI Solves Problems
Search, prediction, classification, generation — and where humans still win
The Four Problems AI Solves7 min · 60 XPThe Four Problems AI Solves
AI vs Human Strengths6 min · 50 XPAI vs Human Strengths
Rule-Based vs Learned Systems6 min · 55 XPRule-Based vs Learned Systems
Module
AI in the World
Where AI shows up, and how to think about its impact
The AI Around You5 min · 40 XPThe AI Around You
Bias, Errors & Limits6 min · 50 XPBias, Errors & Limits
Recommenders: The Algorithm That Knows You6 min · 55 XPRecommenders: The Algorithm That Knows You
Module
AI & Society
Jobs, safety, risk, and the rules being written right now
Jobs & Automation: The Real Picture7 min · 60 XPJobs & Automation: The Real Picture
Safety & Alignment7 min · 60 XPSafety & Alignment
How to Think About AI Risk7 min · 60 XPHow to Think About AI Risk
Regulating AI6 min · 55 XPRegulating AI
Capstone project
Spot the AI audit
Audit three apps you use daily: where is AI making decisions, what data feeds it, and what could go wrong? Rate each on a simple rubric you design.
Deliverable: A table or doc scoring three real products on transparency, data use, and failure modes.
Milestones
Finish every lesson to earn the AI Literacy Certificate.