Curriculum
8 units01Getting to Know Artificial IntelligenceAfter this module, you can explain what AI is, tell the difference between rule-based programs and programs that learn from examples, and spot examples of AI in everyday life.3 lessonsShow contentsHide
- AI Around Us: From Rules to Learning from ExamplesPreview45 min
- A First Tour of Teachable Machine50 minLocked
- Recap: When Is a Program Called AI?45 minLocked
02Data, Labels and ClassesAfter this module, you can explain the role of data in AI and put together a tidy, balanced and varied labelled image dataset.3 lessonsShow contentsHide
- Data Is What Machines Learn From45 minLocked
- Building an Organic and Inorganic Waste Image Dataset1 hLocked
- Recap and Self-Check: What Good Data Looks Like45 minLocked
03Training Your First ModelAfter this module, you can explain training, models and predictions, and train and test your own image model in Teachable Machine.3 lessonsShow contentsHide
- How Machines Learn: Training, Models and Predictions45 minLocked
- Making a Hand Gesture Model with a Webcam1 hLocked
- Recap: Reading Model Confidence and Accuracy45 minLocked
04Making Models More AccurateAfter this module, you can diagnose why a model guesses wrongly, read a confusion matrix, and improve a model with better data and epoch settings.3 lessonsShow contentsHide
- Why Do Models Guess Wrongly?50 minLocked
- Experimenting with Epochs and Data Variety1 hLocked
- Recap: Strategies for Improving a Model45 minLocked
05AI That Listens and Reads PosesAfter this module, you can explain how sounds and body poses become data, train a sound model, and choose the right type of Teachable Machine project.3 lessonsShow contentsHide
- Sounds and Poses Can Be Data Too45 minLocked
- Making a Clap and Whistle Sound Model55 minLocked
- Recap: Image, Sound or Pose?45 minLocked
06Connecting Models to ScratchAfter this module, you can export a Teachable Machine model as a link and use it in Scratch ML (the TM2Scratch extension) to build an interactive game or app.3 lessonsShow contentsHide
- From Model to App: Exporting and Sharing a Model Link45 minLocked
- Making a Rock-Paper-Scissors Game with TM2Scratch1 hLocked
- Recap: Program Logic That Uses Labels45 minLocked
07Fair and Responsible AIAfter this module, you can recognise bias and privacy risks in AI, test your own model for fairness, and write an honest model card.3 lessonsShow contentsHide
- Bias, Privacy and Human Decisions45 minLocked
- Auditing Your Own Model: Fairness Test and Model Card1 hLocked
- Recap: AI Ethics for Students45 minLocked
08Final Project: An Image Recognition ModelAfter this module, you can plan, build, test and present your own image recognition model that solves a real problem around you.3 lessonsShow contentsHide
- Planning Your Image Recognition Project50 minLocked
- Building and Testing the Final Project Model1 hLocked
- Project Presentation and Final Reflection50 minLocked
Prerequisites
No special prerequisites.
Tools and materials
Teachable Machine, Scratch ML
Final project
An image recognition model
Mentor
ES
EduSTEAM Team