$60

weekly
or $120 for 8 classes
Class
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Build AI Games With Python! Summer Coding Camp (Ages 11–14)

New class
Ages 11-14
Live Group Course
Learn to code AI-powered games and projects using Python in this interactive summer camp. Learners will explore image classification, face recognition using python and master coding concepts like loops, conditionals, and algorithms.
Average rating:
4.8
Number of reviews:
(58 reviews)
Star Educator
Popular

Live video meetings
4x per week, 2 weeks
2-4 learners per class
55 min

What's included

8 live meetings
7 hrs 20 mins in-class hours
Homework
1 hour per week. included
Certificate of Completion
1 after class completion

Class Experience

US Grade 5 - 8
Beginner Level
What Will Be Taught?
Students will learn the basics of computer vision and AI using Python. They will explore image processing, colors, video capture, and AI classification while building exciting hands-on projects, including a Rock-Paper-Scissors AI game.

How Is Your Class Structured?
The course consists of 8 interactive lessons, starting with basic computer vision concepts and gradually introducing AI and real-world applications. Each class includes hands-on coding, discussions, and projects to reinforce learning.

How Will You Teach?
Lessons are project-based and engaging, focusing on real-world applications of computer vision. Students will code live, train AI models, and test their projects in an interactive learning environment.

What’s Your Teaching Style?
The teaching style is fun, hands-on, and highly interactive. Concepts are explained using games, real-life examples, and coding exercises to keep students engaged.

How Much Will Learners Get to Interact with You?
Students will interact through:

-Live coding sessions where they follow along and experiment
-Discussions and Q&A to explore AI concepts in depth
-Slides and video clips for visual learning
-Hands-on projects and games like the Rock-Paper-Scissors AI
-Collaborative feedback sessions to refine their AI models

This course is designed to make AI and computer vision easy, fun, and practical for young learners! 🚀

Learning Goals

Train & Use AI Models – Create an AI-powered image classifier using Teachable Machine and integrate it into Python programs.
Understand Computer Vision & AI Basics – Learn how computers process images, detect colors and shapes, and capture live video using Python.

Syllabus

8 Lessons
over 2 Weeks
Lesson 1:
Python Basics & Variables
 - Learn Python syntax and how to print output
- Declare and use variables (int, float, str)
- Practice writing simple Python scripts 
55 mins online live lesson
Lesson 2:
Data Types, Input & Operators
 - Understand different data types (int, float, str, bool)
- Use input() to interact with users
- Perform calculations using arithmetic and comparison operators 
55 mins online live lesson
Lesson 3:
Conditionals & Loops
 - Write if, elif, and else statements
- Use while and for loops for repetition
- Build interactive programs with decision-making 
55 mins online live lesson
Lesson 4:
Functions & Mini Challenges
 - Define and call functions with parameters
- Return values from functions
- Solve mini coding challenges using functions 
55 mins online live lesson

Other Details

Supply List
A Laptop, a pen, paper and basic knowledge of computers.
External Resources
In addition to the Outschool classroom, this class uses:

Offered by

4.8
58reviews
Star Educator
Popular
Profile
Teacher expertise and credentials
Non-US Teaching Certificate in Elementary Education
Afsha Khan
California Teaching Certificate in Elementary Education
Afsha Khan
Non-US Teaching Certificate in English to Speakers of Other Languages
Pallavi Ojha
Non-US Teaching Certificate in Mathematics
Ravinder Kaur
Master's Degree in Science from University of Mumbai
Afsha Khan
Master's Degree in Computer Science from Silicon institute of technology,Bhubaneshwar
Sreelekha Dasi
Master's Degree in Business/Commerce from Devi Ahilya University
Megha Panchal
Master's Degree in Computer Science from DAVV
Kanika Mittal
Master's Degree in Business Administration and Management from Anglia ruskin university
Sana Naseer Umul
Master's Degree in English Language and Literature from University Of Calcutta
Azra Ezaz
Master's Degree in Computer Science from Madras University
Josephene Sheeba
Master's Degree in Computer Science from Vels University
Josephene Sheeba
Master's Degree in Computer Science from Mumbai University
Rifha Adnaan Syed
Master's Degree in Finance from SCIM INdore M. P.
Varsha Sunil Jadhav
Bachelor's Degree in Chemistry from Mumbai University
Amreen Shaikh
Bachelor's Degree from Jhulelal Institute of Technology
Shikha Ramrakhyani
Bachelor's Degree in Computer Science from Government college, Rourkela
Sreelekha Dasi
Bachelor's Degree in Education from DAVV
Kanika Mittal
Bachelor's Degree in Computer Engineering from HNB Garhwal University
Shriti Dhuliya
Bachelor's Degree in Computer Engineering from Jwaharlala nehru technological university
Sana Naseer Umul
Bachelor's Degree in Education from THE WEST BENGAL UNIVERSITY OF TEACHERS' TRAINING, EDUCATION PLANNING AND ADMINISTRATION
Azra Ezaz
Bachelor's Degree in English Language and Literature from University Of Calcutta
Azra Ezaz
Bachelor's Degree in Science from PANJAB UNIVERSITY
Ravinder Kaur
Bachelor's Degree in History from University of Delhi
Dhruvi Patel
Bachelor's Degree in Physics from Madras University
Josephene Sheeba
Our teachers are experts in AI, Python, and Mathematics, with hands-on experience in computer vision, machine learning, and coding education. They have worked on real-world AI projects and specialize in making complex topics engaging and accessible for young learners. Through interactive lessons, problem-solving, and hands-on projects, they ensure students not only understand key concepts but also apply them in creative and meaningful ways—whether training an AI model or building a fun game.

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