LM Introduction

Welcome to the Artificial Intelligence (AI) introduction section of the Base Python course.

In this unit, you will explore what Artificial Intelligence is, how it relates to classical programming, and why Python plays a central role in modern AI and data-driven applications.

Artificial Intelligence is often associated with complex models and mathematics.
However, at its core, AI is built upon structured data, rules, and reusable logic — concepts you have already practiced throughout this course.

Instead of training AI models, this unit focuses on understanding the principles behind AI systems and recognizing how Python constructs are used to simulate intelligent behavior.

Take this time to connect your Python knowledge with real-world AI examples and to develop a critical and informed perspective on artificial intelligence.

💡 Short Note: Functions as Building Blocks of AI

In Python, functions are reusable blocks of code that perform a specific task.
In AI systems, functions are often used to:

  • process input data
  • apply rules or decision logic
  • return predictions or classifications

A function helps structure code in a clear and modular way — a key requirement for scalable and maintainable AI systems.

Example:

```python def analyze_input(text): print(f”Analyzing input: {text}”)

user_input = input(“Please enter a short text: “) analyze_input(user_input)

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