Welcome to AI Fundamentals!

Maria Chen will guide you through your first steps into understanding Artificial Intelligence. Enter your name below to begin!

What is Artificial Intelligence?

AI is when computers learn to do things that normally require human intelligence. Click each card below to explore the key concepts.

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🔎
Pattern Recognition
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🧠
Decision Making
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📚
Learning
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Automation
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AI vs Traditional Automation

Not everything automatic is AI! Match each scenario to whether it's AI or rule-based automation.

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How to play: Click a scenario on the left, then click its classification on the right.

Scenario
Thermostat turns on at 68°F
Netflix recommends shows
Spam filter blocks emails
Alarm sounds when door opens
Google Translate converts text
Classification
🤖 AI - Pattern recognition
⚙ Rule-based automation
🤖 AI - Language patterns
🤖 AI - Learns preferences
⚙ Simple trigger automation
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Is This AI?

Test your understanding! For each scenario, decide if it uses AI or not.

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Types of AI

AI exists on a spectrum from narrow (specialized) to general (human-like). Click each type to learn more.

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🎯
Narrow AI (ANI)
Artificial Narrow Intelligence
Specialized for one task
🧠
General AI (AGI)
Artificial General Intelligence
Availability actively debated
🌟
Super AI (ASI)
Artificial Super Intelligence
Beyond human (sci-fi)

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AI Vocabulary Check

Let's make sure you know the key terms! Match each AI term to its definition.

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How to play: Click a term on the left, then click its matching definition on the right.

AI Terms
Artificial Intelligence
Narrow AI
Pattern Recognition
Automation
Definitions
Following pre-set rules without learning
Systems that learn patterns and make decisions
Finding meaningful trends in data
AI designed for one specific task
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Knowledge Check

Answer these questions to earn your AI Explorer Certificate!

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🧠

AI Explorer Certificate

AI Fundamentals Series - Module 1 Complete

Bronze Level

Your Name

Has demonstrated foundational understanding of Artificial Intelligence concepts and can distinguish AI from traditional automation.

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What's Next?

In Module 2: Machine Learning Basics, you'll learn how machines actually learn from data!