What Is Artificial Intelligence and How Does It Work?

What you will go through

1. 1
   1 Step 1 of 8 ·2 min Recognize AI in Everyday Tasks Learn to identify everyday AI capabilities and distinguish them from simple automated actions.
2. 2
   2 Step 2 of 8 ·2 min Understand AI, Machine Learning, and Deep Learning Learn how AI, machine learning, and deep learning fit together, then compare written rules with learned patterns using a spam filter.
3. 3
   3 Step 3 of 8 ·2 min See What a Model Learns From Learn to identify inputs, labels, and useful signals in a supervised-learning dataset, using spam filtering as an example.
4. 4
   4 Step 4 of 8 ·3 min Follow Training and Inference Follow the repeated adjustment process of supervised training and distinguish it from using a trained model to classify a new message.
5. 5
   5 Step 5 of 8 ·3 min Check Whether Learning Transfers Learn why a model must be tested on unseen examples, how to notice a possible generalization problem, and why error consequences matter.
6. 6
   6 Step 6 of 8 ·3 min Understand How AI Generates Text Learn the token-by-token process behind generated text and why fluent language still needs verification.
7. 7
   7 Step 7 of 8 ·2 min Choose Safeguards for Using AI Choose verification, privacy, fairness, and human-review safeguards that fit an AI task.
8. 8
   8 Step 8 of 8 ·3 min Apply What You Know About AI Integrate the AI workflow and apply practical checks before relying on predictions or generated content.