Course Content :

Module 1: Python Foundations

Python installation & setup

Variables, data types, operators

Conditionals & loops

Input/output

Hands-on exercises

Module 2: Python Data Structures

Lists, tuples, sets, dictionaries

String operations

List comprehension

Mini-project: Data summarizer tool

Module 3: Functions & OOP

Functions & parameters

Return values

Error handling

Classes & objects

Inheritance & polymorphism

Project: OOP-based student record system

Module 4: Python for Data & AI

NumPy basics

Pandas dataframes

Data visualization with Matplotlib

Project: Data analysis of a real-world dataset

Module 5: Introduction to AI & ML

What is AI?

Types of Machine Learning

Train a simple ML model (classification/regression)

Model testing & evaluation

Project: Predict student scores / house prices

Module 6: AI with Python (Hands-On)

Build a rule-based AI bot

Train a sentiment analysis model

Simple image recognition model

Making AI predictions from real data

Module 7: AI-Assisted Coding Tools

How to use ChatGPT for debugging, code generation & optimization

Intro to GitHub Copilot

Applying AI tools in projects

Activity: Create a small project using AI assistance

Module 8: Final Capstone Project

Choose 1 project (AI chatbot, recommendation system, or prediction app)