Unlock the power of Python – A Comprehensive Beginner’s Training
This 36 Hrs. Python program is designed for beginners looking for Mastering Python Fundamentals.

By the end of this course, you’ll have a solid understanding of Python Programming concepts and the confidence to build simple applications

Learn from Experts, work on real-World Projects, and become a Basic Python Developer in Just 25 Hrs.

No Prior Knowledge of Python / AI required

TRAINING HIGHLIGHTS:

 Learn Python from Basics to Hands on coding with real work examples
 Introduction to essential programming concepts using Python
 Clear Focus on writing clean, efficient and error-free code
 Suitable for those new to programming or looking to switch to Python.

BONUS:
 Debug Python Code using AI
 Write Python Code by using AI

WHOM IS THIS FOR:
 Students
 Freshers
 Working Professionals
 Job Seekers
WHY CHOOSE THIS COURSE
 Practical, project-driven approach to learning Python.
 Taught by industry experts with real-world experience.
 Ideal starting point for careers in AI, Data Science, and Web Development.

CURRICULUM OVERVIEW

1. INTORDUCTION TO PYTHON
a. What is Programming
b. Python Installation and Setup
c. Understanding Python Syntax and Data Types
d. Variables, Constants, Data Types & Naming Conventions
e. Type Casting
f. String, String Manipulations – String Methods, String Operations

2. OPERATIONS & EXPRESSIONS
a. Arithmetic, Comparison, Logical, and Bitwise Operators
b. Operator Precedence and Associativity
c. Input and Output Functions

3. CONTROL FLOW STATEMENTS
a. If, Else, Elif Statements
b. While and For Loops
c. Break, Continue, and Pass Statements
d. Built In Functions

4. FUNCTIONS & MODULES
a. What is Function & Types of Functions
b. Defining and Calling Functions
c. Scope of the Function
d. Lambda Functions
e. Arguments, Parameters, and Return Values
f. Creating and Importing Modules

5. DATA STRUCTUES – LISTS, TUPLES, & DICTIONARIES
a. Lists and List Comprehensions
b. Tuples and Immutability
c. Dictionary Creation and Manipulation

6. FILE HANDLING
a. Creating, Reading and Writing Files
b. File Methods
c. Handling Exceptions in File Operations
d. Working with CSV and Text Files

7. ERROR HANDLING & DEBUGGING
a. Understanding Syntax Errors
b. Understanding Exceptions and Error Types
c. Using Try, Except, Finally Blocks
d. Debugging with Python Debugger (pdb)
e. What is Compile Time Error
f. What is Run Time Error

8. OBJECT ORIENTED PROGRAMMING (OOPS) – BASICS
a. What is Classes, Objects, and Methods
b. Creating Class & Object
c. __init__()
d. Class Variables & Methods
e. Constructors and Destructors
f. Simple Example Project
g. Inheritance
h. Polymorphism
i. Overloading & Overriding

9. PYTHON LIBRARIES INTRODUCTION
a. Overview of Standard Libraries (math, datetime, random)
b. Introduction to Third-Party Libraries (pip, virtualenv)

10. PROJECT
a. Building a Simple Python Application
b. Project Presentation and Feedback