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AI Builders: Python for Young Coders

1. Learn Python — Build Real AI Projects
2. Your Child’s First AI Apps, Powered by Python
3. From Coding Basics to AI Creation

Join for free
Ages(9-14)
a little boy

AI Builders: Python for Young Coders

1. Learn Python — Build Real AI Projects
2. Your Child’s First AI Apps, Powered by Python
3. From Coding Basics to AI Creation

Join for free

Ages(9-14)

a little boy

AI Builders: Python for Young Coders​

Ages(9-14)

1. Learn Python — Build Real AI Projects
2. Your Child’s First AI Apps, Powered by Python
3. From Coding Basics to AI Creation

Join for free

Ages(6-12)

a little boy

What AI Insights Will Kids Gain?

Students learn Python programming by exploring AI basics, training data, and creating their own chatbot or assistant. The program includes hands-on activities, interactive lessons, and collaborative projects to ensure that students grasp key concepts effectively. 

By the end of the course, participants will have a solid understanding of Python syntax and the fundamentals of artificial intelligence. Additionally, they will develop problem-solving skills and gain experience in designing practical applications. 

This program is designed to be engaging and fun, encouraging creativity and curiosity in young learners.

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AI Builders: Python for Young Coders

Ages 10-14

Course Levels

Level1: Intro to Python with AI Projects

Basics: variables, inputs, conditions – Learn how to define variables, take user inputs, and implement basic conditional statements.

Create a quiz game or story generator – Develop your first project by creating an interactive quiz game or a dynamic story generator using Python.

Data and text introduction – Get introduced to data manipulation and text processing techniques.

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Level2: AI Concepts – Predictions & Chatbots

Chatbot Development – Build a chatbot that can interact with users in natural language.

Sentiment Analysis – Perform sentiment analysis on text data to determine the emotional tone behind it.

Labeled Datasets – Understand how labeled datasets are created and used in machine learning models.

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Level3: AI Assistant Project

Voice/Text AI Bot Design – Design and develop an AI assistant capable of responding to voice or text commands. 

Use Google Colab or Jupyter – Utilize tools like Google Colab or Jupyter Notebook for coding and collaboration.

Documentation and Showcase – Document your project’s development process and showcase your final product with a demonstration.

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Assessment Methods

Python Coding Tests – Assess your understanding through periodic coding tests covering key concepts and skills.

Project Milestones – Track your progress through set milestones that mark significant stages of your project development.

Peer Reviews – Engage in peer reviews to receive constructive feedback and improve your work quality.

Final Project Demo – Present your completed project in a final demo, demonstrating its functionality and features.

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