Artificial Intelligence (AI) is a field of computer science concerned with creating systems that can perform tasks that typically require human intelligence. Rather than diving deeply into theory, introductory AI focuses on practical techniques such as search algorithms, heuristics, and basic machine learning (ML) concepts.

One core area in AI is search algorithms, which are used to explore possible solutions efficiently. Common approaches include:

Depth-First Search (DFS): explores as far as possible along a branch before backtracking

Breadth-First Search (BFS): explores all nodes at the current level before moving deeper

A*: an informed search algorithm that uses heuristics to find optimal paths efficiently

Another important aspect is basic machine learning concepts, which involve building models that learn from data:

Classification: predicting categories (e.g., spam vs not spam)

Regression: predicting continuous values (e.g., price prediction)

Understanding these helps develop intuition about how AI models make decisions.

AI is widely applied in areas such as:

Games: creating intelligent opponents using search and heuristics

Simple decision systems: using rules and heuristics to make efficient choices

Overall, AI combines algorithmic thinking with data-driven approaches to build systems that can adapt, learn, and make decisions.