Module 1 of 6 · AI & ML Foundations
Section 1 of 7

What is Artificial Intelligence?

Artificial Intelligence, or AI, is the broad field of building systems that perform tasks which normally require human intelligence — recognizing images, understanding language, making decisions, or planning a route.

AI is the umbrella term. Machine Learning, Deep Learning, and Large Language Models are all specific approaches inside that umbrella, not separate things. Every module after this one is really a deeper dive into one branch of AI.

Knowledge Check

5 questions — answer all, then submit

1. What is the key difference between AI and Machine Learning?

2. Which type of ML trains on labeled input-output pairs?

3. What is overfitting?

4. A spam filter catches 95% of real spam but also marks 20% of legitimate emails as spam. Which metric is low?

5. Why does a trained model need to be monitored after deployment?