Module 01 — Introduction & Setup

• Evolution of Python & Industry Usage
• Installation: Python, IDLE, VS Code, Jupyter Notebook
• AI Tool Setup (ChatGPT, Gemini, Copilot, etc.)
• Writing the first Python script

Module 02 — Variables, Data Types & Python Syntax

• Keywords, Indentation Rules
• Numeric, String, Boolean, NoneType
• Type Casting & Input/Output AI-based Syntax explanation + auto-code suggestions

Module 03 — Operators & Expressions

• Arithmetic, Logical, and Relational Operators
• Operator Precedence
• Practical mini tasks using AI Debugging

Module 04 — Control Flow

• Conditional Statements (if/elif/else) Nested conditions Real Case Scenario Coding with AI Support

Module 05 — Looping Constructs

• for, while, break, continue
• Iteration over sequences
• Pattern programming using AI suggestions

Module 06 — Collections in Detail

• List: CRUD operations, slicing, sorting, comprehension
• Tuple: immutability, packing/unpacking
• Set: uniqueness, set operations
• Dictionary: CRUD, iteration, key-value operations
• Data structure selection rules (with AI assistance)

Module 07 — Strings Masterclass

• String methods, slicing, formatting (f-string)
• Regular Expressions basics (AI-based pattern generation)

Module 08 — Functions & Modular Coding

• User-defined functions
• Arguments, return values
• Lambda, map, filter, reduce
• AI code documentation & auto-generation

Module 09 — File & Error Handling

• Reading/Writing files: txt, csv
• Try/Except, finally, custom exceptions
• AI for debugging & error solutions

Module 10 — Object-Oriented Programming C

• lasses, Objects
• Inheritance, Polymorphism, Encapsulation, Abstraction
• Real mini-project using OOP + AI optimization