Help students explore how AI systems learn from examples, recognize patterns, and make predictions by training simple models and testing them in real time.
A beginner-friendly AI workshop designed to help students understand machine learning through examples, simple tools, and creative model building.
| Duration | Session | Topic | Activity | Learning Outcome |
|---|---|---|---|---|
| 10 min | Warm-Up Session | What is AI? | Ask students where they see AI in daily life such as face unlock, YouTube, or games. Introduce AI as “teaching computers to learn.” |
• Build curiosity • Introduce AI in daily life |
| 10 min | Session 1 – How Machines Learn | What is Supervised Learning? | Use a quick sorting game such as book vs bottle. Explain how humans learn from examples and how machines can learn in a similar way. | Students understand that machines learn from examples similar to humans. |
| 10 min | Session 2 – AI Tool | Google Teachable Machine | Demonstrate Teachable Machine and explain image, sound, and pose recognition. | Students understand what AI recognition in image, sound, and pose means. |
| 25 min | Session 3 – Model Building | Build First AI Model | Students create a simple image model: 👍 Thumbs Up vs 👎 Thumbs Down. They collect samples, train the model, and test it live. | Students learn how to train an AI model and see real-time results. |
| 15 min | Session 4 – Build, Test, Improve | Improve & Test Accuracy | Test the model with different lighting, angles, and speed. Explain: more data = smarter AI. | Students understand that more data improves accuracy and reliability. |
| 30 min | Session 5 – Boost Up Your Creativity | Creative AI Challenge | Students build their own models such as emotion detector, object recognition, mask detection, or gesture control with trainer support. | Students apply creativity and problem-solving to design their own AI solution. |
| 10 min | Session 6 – Connect to the Real World | Real-World AI Applications | Show how AI can control robots, smart lights, attendance systems, and safety monitoring. | Students connect AI learning to real-world applications and future careers. |
| 10 min | Wrap-up & Reflection | Student Showcase & Closing | Students demonstrate their models, celebrate learning, and discuss how AI can solve real problems. | Students build confidence, communication skills, and ownership of their learning. |
Train a simple AI model to recognize happy, surprised, or serious expressions.
Teach the model to identify selected classroom objects using example images.
Explore how AI can classify whether someone is wearing a mask or not.
Create a pose or gesture-based model that reacts to simple hand movements.
