Course description

Mastering Python: From Zero to AI Applications

???? Module 1 — Introduction to Python & Environment Setup

Goal: Get comfortable with Python’s ecosystem and running your first code.
Lessons:

1. What is Python? Use Cases & Career Paths

2. Installing Python & IDEs (VS Code, Jupyter, Google Colab)

3. Writing and Executing Your First Python Program

4. Understanding Interpreter vs Compiler

5. Comments, Indentation & Syntax Rules

6. Live Demo: “Hello World” and Simple Math Operations

Mini Project: Build a “Python Greeting Program” that asks your name and age.

???? Module 2 — Python Basics

Goal: Understand data types, variables, and operators.
Lessons:

1. Variables and Constants

2. Data Types: int, float, str, bool

3. Type Conversion and Casting

4. Arithmetic, Comparison, Logical Operators

5. Input/Output and f-Strings

6. Live Demo: Interactive Calculator

Quiz & Practice: 10 coding questions (print formatting, operators, etc.)

???? Module 3 — Control Flow

Goal: Make decisions and loops in your programs.
Lessons:

1. Conditional Statements: if, elif, else

2. Logical and Nested Conditions

3. For Loops and While Loops

4. Break, Continue, Pass

5. Range() and Iteration Patterns

6. Live Demo: Number Guessing Game

Project: Build a “Password Strength Checker.”

???? Module 4 — Functions and Modules

Goal: Write reusable, organized code.
Lessons:

1. Defining and Calling Functions

2. Parameters, Arguments, and Return Values

3. Default and Keyword Arguments

4. Variable Scope and Lifetime

5. Importing and Creating Modules

6. Lambda Functions

7. Live Demo: Temperature Conversion App

Project: Create a small “Calculator Module.”

???? Module 5 — Data Structures

Goal: Master Python’s built-in data structures.
Lessons:

1. Lists and List Methods

2. Tuples, Sets, and Dictionaries

3. Indexing, Slicing, and Iteration

4. Nested Data Structures

5. List Comprehensions

6. Live Demo: Student Grade Tracker

Project: Build a “Contact Management System.”

???? Module 6 — File Handling and Exceptions

Goal: Work with files and handle errors gracefully.
Lessons:

1. Reading and Writing Text Files

2. Working with CSV and JSON Files

3. Exception Handling with try, except, finally

4. Raising Exceptions and Custom Errors

5. Live Demo: Reading Student Data from a CSV

Project: Build a “Log File Analyzer.”

???? Module 7 — Object-Oriented Programming (OOP)

Goal: Learn modern Python OOP concepts.
Lessons:

1. Classes and Objects

2. Constructors and Methods

3. Inheritance and Polymorphism

4. Encapsulation and Abstraction

5. Class vs Instance Variables

6. Dunder Methods (__init__, __str__)

7. Live Demo: Banking System Simulation

Project: Build a “Library Management App.”

???? Module 8 — Advanced Topics

Goal: Explore deeper Python capabilities.
Lessons:

1. Iterators and Generators

2. Decorators and Context Managers

3. File Paths and OS Operations

4. Virtual Environments and Package Management (pip)

5. Regular Expressions

6. Live Demo: Text Pattern Finder

Project: Build a “File Organizer Tool.”

???? Module 9 — Data Science with Python

Goal: Apply Python to data analysis and visualization.
Lessons:

1. Introduction to NumPy Arrays

2. DataFrames with Pandas

3. Data Cleaning and Manipulation

4. Data Visualization with Matplotlib & Seaborn

5. Importing and Exporting Datasets

6. Live Demo: COVID-19 Data Dashboard

Project: Build a “Sales Analytics Dashboard.”

???? Module 10 — Machine Learning & AI Applications

Goal: Use Python for basic AI and ML projects.
Lessons:

1. Introduction to Machine Learning Concepts

2. Scikit-learn Basics: Datasets, Models, Training

3. Regression & Classification Examples

4. Natural Language Processing (NLP) Basics

5. Building a Simple Chatbot with OpenAI API

6. Live Demo: Predict House Prices with Linear Regression

What will i learn?