Day 22 of 30Artificial Intelligence

🧠What Is AI, ML & Deep Learning?

🎯 Today's objective

Build a clear mental model of the AI landscape.

📖 Key concepts

AI = machines doing "smart" tasks
ML = learning patterns from data (not hand-coded rules)
Deep Learning = ML with neural networks
Narrow AI today vs general AI (hype)

💻 Try this code

# No code today — a thinking day.
# Rule-based:  if temp > 38: print("fever")
# ML mindset:  show 10,000 examples -> the model learns the rule itself.

👥 Learn it your way

🧒 Young Explorers

Old way: WE write every rule. AI way: we show examples and the computer finds the rule.

Your task

List 5 apps you use and guess which use AI and what data they learned from.

💼 Professionals

Place tasks on the rules-vs-learned spectrum; know where ML adds value vs plain code.

Your task

Write one paragraph: a problem at your work where ML would beat hand-written rules, and why.

🤖 AI connection

This is the pivot of the course: from telling the computer exactly what to do, to teaching it to learn from data.

✅ Quick check

How is ML different from normal programming?

It learns rules from data instead of being given explicit rules.

Is today’s AI "general"?

No — it’s narrow AI, good at specific tasks.