Beginner’s Python for Ai

About Course

Unlock the potential of Python in AI with our comprehensive course. Starting from the basics of Python syntax and programming concepts, delve into advanced topics like machine learning, neural networks, and natural language processing. Hands-on projects and real-world examples enhance your learning experience, preparing you to tackle AI challenges with confidence. Perfect for beginners aspiring to build a solid foundation in AI programming and innovation.

Course Content

Basics
In the "Basics" chapter, you'll take your first steps into the world of Python programming. This section provides an introductory overview of Python, highlighting its significance in the programming landscape. It's a foundational chapter that sets the stage for your Python journey, starting with the essential setup of your coding environment

Introduction To Coding

42:34
Intro to Python

09:25
Code Editor Installation

08:49
Installation in Mobile Phone

09:33
Tips & Resources

09:06

Getting Started with Python
The "Getting Started" chapter is where you begin your Python programming adventure. This chapter focuses on building a strong foundation, starting with a deep dive into Python's syntax. You'll learn how to effectively use print and input functions, understand the significance of variables, explore data types, and harness the power of string manipulation. The "Practice Set" included here ensures you're well prepared for the journey ahead.

Syntax Format

10:23
Print Function

04:12
Input Function

04:55
Input/Output Function
Comments in Python

16:51
Comments in Python
Variables in Python

40:40
Variables in Python
Data Types

14:28
Data Types
Operators

28:09
Operators in Python
String operations

07:01
String Operations

Conditional Statements in Python
"Decision Making" is a pivotal aspect of programming. In this chapter, you'll delve into the logic of making decisions within your Python code. We'll explore conditional statements and the art of controlling loops, all of which are essential for efficient and purposeful coding. The "Practice Set" at the end of this chapter allows you to apply what you've learned, solidifying your programming skills.

Python Data Structures
Python data structures are the backbone of your programs. In this chapter, you'll learn how to work with essential data structures, including lists, sets, tuples, and dictionaries. These structures enable you to organize and manage data efficiently. The included "Practice Set" offers hands-on experience in using these data structures effectively.

Functions in Python
Functions are a key concept in Python programming. This chapter introduces you to the world of functions, their types, and how they are integral to modular coding. You'll understand the structure of functions and their usage, including call and return statements. The "Practice Set" gives you the opportunity to implement your knowledge and create your own functions, making your code more organized and efficient.

Error Handling in Python
Errors are a natural part of programming, and understanding how to manage them is crucial. In the "Error Handling" chapter, you'll learn about the "Try and Except" blocks, which allow you to identify and gracefully handle errors that may occur during the execution of your Python programs.

Modules in Python
Python's versatility and power come from its extensive library of modules. In the "Modules" chapter, you'll gain insights into what modules are and how they can extend the functionality of your programs. You'll explore the "Intro to Module" and practical "Module Implementations" to see how modules enhance your code. Modules are a cornerstone of Python programming, and understanding their usage is essential for building efficient and feature-rich applications.

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Enrollment validity: 365 days

Beginner
200 Total Enrolled
14 hours Duration
July 12, 2024 Last Updated
Certificate of completion

Beginner’s Python for Ai

About Course

What Will You Learn?

Course Content

Introduction To Coding

Intro to Python

Code Editor Installation

Installation in Mobile Phone

Tips & Resources

Syntax Format

Print Function

Input Function

Input/Output Function

Comments in Python

Comments in Python

Variables in Python

Variables in Python

Data Types

Data Types

Operators

Operators in Python

String operations

String Operations

If-else Statements

If-Else Statement

Intro to Loops

For Loop

For Loop

While Loop

While Loop

Break & Continue Statements

Break and Continue Statement

List

List in Python

Set

Set in Python

Tuple

Tuple in Python

Dictionary

Dictionary in Python

Functions & its types

Basics of Functions in Python

Syntax & Components

Syntax of Functions

Call & Return statements

Call and Return Statement

Try & Except

Try & Except

Introduction to Modules

Module Implementations

Random Module

Module in Python

Student Ratings & Reviews

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