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Beginner's Python for Ai

Learn Python programming from scratch with our comprehensive beginner’s course tailored for aspiring AI enthusiasts. Covering fundamental concepts, hands-on exercises, and practical applications, this course sets the foundation for your journey into the world of Artificial Intelligence. Perfect for students and professionals looking to break into AI.

₹ 9999  ₹4999/- Only

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Benefits for leaning Python for Ai

Get Internships

Gain real-world experience and enhance your skills with internship opportunities. Perfect for hands-on learning and professional growth.

FREE Robotic kit

Enhance your learning experience with our Free robotic kit, shipped directly to your doorstep. Perfect for hands-on practice and exploration.

Live Classes

Engage in live classes. Interact, learn, and collaborate in real-time from anywhere. Get personalized guidance to excel in your studies.

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Get your questions answered in real-time with instant doubt resolving sessions. Ensuring you never miss a beat in your learning journey.

Set your child on the path to becoming a Artificial Intelligence Expert. Join Skillship's "Python for Ai " and equip them with essential skills.

Course Syllabus

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 foundation chapter that sets the stage for your Python journey, starting with the essential setup of your coding environment.

1.1. Introduction To Python
1.2. Code Editor
1.3. Tips & Resources

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.
2.1. Syntax Format
2.2. Print & Input Functions
2.3. Comments in Python
2.4. Variables in Python
2.5. Data Types
2.6. Operators
2.7. String operations                                                                                                                                            2.8. Practice Set

“Conditional Statements” 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.
3.1. If-else Statements
3.2. Intro to Loops
3.3. For loop
3.4. While Loop
3.5. Break & Continue Statements
3.6. Practice set

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.
4.1. List
4.2. Set
4.3. Tuple
4.4. Dictionary

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.
5.1. Functions and its types
5.2. Syntax and Components
5.3. Call and return statements

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.
6.1. Try and Except

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 the cornerstone of Python programming, and understanding their
usage is essential for building efficient and feature-rich applications.
7.1. Introduction to Modules
7.2. Module Implementations                                                                                                                              7.3. Random Module

The Python Projects Collection is a diverse compilation of minor and major impactful projects developed using the Python programming language. These projects aim to showcase a range of programming concepts and practical applications, making them suitable for learners at various skill levels. Each project serves as an opportunity for hands-on coding experience and reinforces key Python principles.

Why Choose Python Programming for School Students ?

Problem-Solving Proficiency

Set your child on the path to becoming a future coder, engineer, or data scientist. Join Skillship's "Python Programming " and equip them with essential coding skills.

Course Syllabus

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 foundation chapter that sets the stage for your Python journey, starting with the essential setup of your coding environment.

1.1. Introduction To Python
1.2. Code Editor
1.3. Tips & Resources

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.
2.1. Syntax Format
2.2. Print & Input Functions
2.3. Variables in Python
2.4. Operators
2.5. Data Types
2.6. String operations
2.7. Practice Set

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.
4.1. List
4.2. Set
4.3. Tuple
4.4. Dictionary

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.
5.1. Functions and its types
5.2. Syntax and Components
5.3. Call and return statements
5.4. Practice Set

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.
6.1. Try and Except

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 the cornerstone of Python programming, and understanding their
usage is essential for building efficient and feature-rich applications.
7.1. Introduction to Modules
7.2. Module Implementations

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