Personalized AI Tutoring
Learn AI concepts with personalized guidance from an experienced IIT Madras graduate with 5 years expertise.
Expert AI Guidance
Receive tailored instruction in AI, focusing on practical applications and real-world problem-solving techniques.
Hands-On Learning
Engage in hands-on projects that enhance your understanding of AI and its applications in various fields.
Customized Learning Plans
Develop a personalized learning plan that suits your pace and learning style for effective mastery.
AI Tutoring
Personalized AI tutoring by an IIT Madras expert with experience.
Expert Guidance
Receive expert guidance in AI from a seasoned professional with five years of experience, ensuring a comprehensive understanding of complex concepts tailored to your learning pace and style.
Student Focused
Our approach is student-focused, providing personalized attention and tailored lessons to help you excel in AI, fostering a deep understanding and practical skills for real-world applications.
Our syllabus


1. Introduction to Python
1.1 What is Python?
Overview of Python and its applications
Installing Python and setting up the environment (IDLE, VS Code, Jupyter Notebook)
Writing and running your first Python program
1.2 Variables and Data Types
Variables and assignment
Basic data types: int, float, str, bool
Type conversion (int(), float(), str())
1.3 Input and Output
Taking user input with input()
Formatting output with print() and f-strings
2. Control Flow
2.1 Conditional Statements
if, elif, else
Comparison operators (==, !=, >, <, >=, <=)
Logical operators (and, or, not)
2.2 Loops
for loops
while loops
break and continue
2.3 List Comprehensions
Creating lists using comprehensions
3. Data Structures
3.1 Lists
Creating and accessing lists
List methods: append(), remove(), pop(), sort(), etc.
3.2 Tuples
Immutable sequences
Accessing tuple elements
3.3 Dictionaries
Key-value pairs
Adding, updating, and deleting items
3.4 Sets
Unique elements
Set operations: union, intersection, difference
4. Functions
4.1 Defining and Calling Functions
Function syntax
Parameters and return values
4.2 Lambda Functions
Anonymous functions
5. File Handling
5.1 Reading and Writing Files
Opening and closing files
Reading and writing text files
6. Error Handling
6.1 Try-Except Blocks
Handling exceptions
7. Introduction to Object-Oriented Programming (OOP)
7.1 Classes and Objects
Defining classes
Creating objects
8. Mini Projects
8.1 Number Guessing Game
A simple game where the user guesses a random number.
8.2 To-Do List
A program to manage a to-do list.
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