Learn AI Together – Foundations Course

Simple definition (h3)

In simple words, AI is a computer system that can learn from data, recognise patterns and make decisions with minimal human help.

Key ideas (h4 – Sub Sub Chapter)

• Perception: understanding text, images or sound.
• Reasoning: choosing between different options.
• Learning: getting better with more data.

From rules to learning

Early AI systems were based on hand-written rules. Modern AI uses data-driven learning, especially machine learning and deep learning.

Milestones

1. 1950s – Turing Test and early ideas.
2. 1980s – Expert systems in companies.
3. 2010s – Deep learning and modern AI boom.

This short quiz helps you check if you understood the basics of AI. Answer the questions below before moving to the next chapter.

1. In one sentence, how would you define AI?
2. Give one example of AI you use daily.
3. What is the main difference between rules and learning in AI?
4. Which decade saw a big rise in deep learning?
5. Why do you think AI is becoming so popular now?

Where you meet AI daily

Even if you don’t notice it, AI is everywhere: your phone, your email, your favourite apps and even your car. This chapter shows everyday examples in a simple way.

Examples

• Photo auto-enhancement and face detection.
• Keyboard suggestions and autocorrect.
• Voice assistants like Siri, Google Assistant, etc.

Productivity and automation

From email sorting to smart search, AI helps people save time and focus on creative work. It can analyse large amounts of data and suggest patterns humans might miss.

Ethics & safety

AI is powerful, so it must be used carefully. Fairness, privacy and transparency are important. In later modules, you can add deeper lessons on AI ethics, bias and regulation.

This exam covers all chapters and sub-chapters in this course. Use it to measure how confident you are with the basics of AI.

• Multiple choice questions.
• Short explanation questions.
• Scenario-based questions about AI in real life.