N/A
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.
This course includes 12 modules, 12 lessons, and 24:00 hours of materials.
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?
Session2: Machine Learning
- What is Machine Learning?
- Different forms of data
- Machine learning steps
- What are models in machine learning?
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.
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
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.
Session6: Neural Network
- What's a Network?
- What are neurons?
- Neural network
- Layers of neural network
- Exercises
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!
Final Quiz and Evaluation
- Answer to 20 questions of the quiz.
- Collect Points.
- Evaluated by stars.
- Take photos with your teacher.
Session9 : Introduction to text based
programming 1
- Difference between blocks and text in programming.
- Keyboard and its types.
- Practice typing on keyboard
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.
Session 11: Introduction to text based
programming 3
- Data types
- Rules of naming variables
- Exercises
Session12: Introduction to text based programming 4
- Mathematics in python
- Make a simple calculator
- Final Evaluation of the project
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