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JR.EN.2.Machine Learning For kids - 2025

JR.EN.2.Machine Learning For kids - 2025

Artificial Intelligence (AI) is rapidly transforming the world around us.
Gaining a solid understanding of Al and machine learning has become
essential, especially for young learners, equipping them with the skills
needed for the future. As the world shifts from traditional programming to
advanced machine learning models that drive Al innovations, students will
embark on an exciting journey to explore new concepts and develop their
own Al-powered projects.
0 Students
12 Lectures
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About This Course

To achieve this goal, Teachable machine, Pictoblox and MIT App Inventor will be the tools at this level.

Different models will be created to make Al games and Applications by

making the computer recognize: text, images, and sounds.

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Courses
Students
Curriculum Overview

This course includes 12 modules, 12 lessons, and 24:00 hours of materials.

Session1: Introduction to AI
1 Parts | 2:00 Hours
Introduction to AI - Live

Session1: Introduction to AI
- What is AI?
- AI Examples in daily life
- What is Machine learning (ML)?
- What is data?
- How to make the machine learn?

Start Date 31 Dec 1969 | 19:00
Duration 120 Minutes
Session2: Machine Learning
1 Parts | 2:00 Hours
Machine Learning - Live

Session2: Machine Learning
- What is Machine Learning?
- Different forms of data
- Machine learning steps
- What are models in machine learning?

Start Date 31 Dec 1969 | 19:00
Duration 120 Minutes
Session3: Text Classifier
1 Parts | 2:00 Hours
Text Classifier - Live

Session3: Text Classifier
- How can text classifiers be used in real life?
- How to train the model with text Training Data
- How to Use the model to implement ML projects using Pictoblox.

Start Date 31 Dec 1969 | 19:00
Duration 120 Minutes
Session4: Image Recognition
1 Parts | 2:00 Hours
Image Recognition - Live

Session4 : Image Recognition
- What are image recognitions applications in real life
- How to collect and use image Training Data
- How to train the model with image Testing Data
- How to Use the model to implement ML projects using Pictoblox

Start Date 31 Dec 1969 | 19:00
Duration 120 Minutes
Session5: Sound Recognition
1 Parts | 2:00 Hours
Sound Recognition - Live

Session5: Sound Recognition
- What are sound recognitions applications in real life
- How to collect and use sound Training Data
- How to train the model with sound data
- How to Use the model to implement ML projects using Pictoblox.

Start Date 31 Dec 1969 | 19:00
Duration 120 Minutes
Session6: Neural Network
1 Parts | 2:00 Hours
Neural Network - Live

Session6: Neural Network
- What's a Network?
- What are neurons?
- Neural network
- Layers of neural network
- Exercises

Start Date 31 Dec 1969 | 19:00
Duration 120 Minutes
Session7: Object Classifier using AppInventor
1 Parts | 2:00 Hours
Object Classifier using AppInventor - Live

Session7: Object Classifier using AppInventor
- What is a pre-trained model?
- Download LookExtension
- Steps to design and program your app in app inventor
Try your app!

Start Date 31 Dec 1969 | 19:00
Duration 120 Minutes
Session8: ML Exercises
1 Parts | 2:00 Hours
ML Exercises - Live

Final Quiz and Evaluation
- Answer to 20 questions of the quiz.
- Collect Points.
- Evaluated by stars.
- Take photos with your teacher.

Start Date 31 Dec 1969 | 19:00
Duration 120 Minutes
Session9 : Introduction to GenAI
1 Parts | 2:00 Hours
Introduction to GenAI - Live

Session9 : Introduction to text based
programming 1
- Difference between blocks and text in programming.
- Keyboard and its types.
- Practice typing on keyboard

Start Date 31 Dec 1969 | 19:00
Duration 120 Minutes
Session10 : LLM Models
1 Parts | 2:00 Hours
LLM Models - Live

Session10 : LLM Models
- What is python?
- Why is python cool?
- Download Python or use an online Editor.
- Write the first code lines with python: - printing - Making variables
- How to save and open your project.

Start Date 31 Dec 1969 | 19:00
Duration 120 Minutes
Session11 : StoryGPT
1 Parts | 2:00 Hours
StoryGPT - Live

Session 11: Introduction to text based
programming 3
- Data types
- Rules of naming variables
- Exercises

Start Date 31 Dec 1969 | 19:00
Duration 120 Minutes
Session12: Final Exercises
1 Parts | 2:00 Hours
Final Exercises - Live

Session12: Introduction to text based programming 4
- Mathematics in python
- Make a simple calculator
- Final Evaluation of the project

Start Date 31 Dec 1969 | 19:00
Duration 120 Minutes
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JR.EN.2.Machine Learning For kids - 2025
LE155

This Course Includes

Course Specifications

Start Date
31 Dec 1969 | 19:00
Sections
12
Lessons
12
Capacity
Unlimited
Duration
23:20 Hours
Students
0
Created Date
4 Oct 2025
Updated Date
2 Dec 2025
JR.EN.2.Machine Learning For kids - 2025
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JR.EN.2.Machine Learning For kids - 2025