Code the Future with Artificial Intelligence
| Age Group: | |
| Grades: | |
| Learning Hours: | 25 hours |
| Domain: | Artificial intelligence, game development |
| Key Skills: | Machine learning, prototype, data analysis, critical thinking |
| Assessment: | MCQ assessment and application assessment |
| Hardware/System Requirements: | Webcam |
| Progression: | AI Progression |
Course Overview
From self-driving cars to entertainment recommendations, AI is a part of our future. There is no better time to start learning how AI works.
Students will use Machine Learning and code to develop and train their own vision recognition system and explore how Machine Learning can be applied to art, music, games and digital assistants by making and programming AI projects.
Students will also explore similarities between AI and how our own minds by studying the effects of bias and categorization of data.
Explore the AI technology behind modern vision recognition systems, digital assistants, chatbots and other AI tools.
Learn to design and program AI tools using JavaScript and HTML.
Create a fully-responsive vision classifying tool, a chatbot and a smart assistant.
| Project | Description | Duration |
|---|---|---|
|
Webcam Image Classification |
Explore an AI tool that uses your webcam to classify images. |
1.5 hours |
|
Card Sorting Activity |
Sort objects into different groups based on the label provided. |
1.5 hours |
|
Machine Learning – Image Classification |
Explore uploading images to an AI tool that can be trained to identify labels and classes. |
2 hours |
|
Image Upload Classifier – Coding Project |
Learn to build an image classifier AI project using HTML and JavaScript along with the ML5 library for Machine Learning. |
2 hours |
|
Webcam Live Classifier |
Explore using live webcam data to capture images for an AI tool that can be trained to identify labels and classes. |
1.5 hours |
|
Webcam Live Classifier – Coding Project |
Learn to build a webcam image classifier AI project using HTML and JavaScript along with the ML5 library for Machine Learning. |
1.5 hours |
|
Adjustable Accuracy Webcam Classifier |
101 Explore how the KNN AI algorithm can be adjusted to fine-tune the results of the classifier. |
1 hour |
|
Responsive Instrument |
Train a machine learning tool to recognise three classes of objects using your webcam. Each class will play a sound when classified. |
1.5 hours |
|
Music Generator |
Using HTML and JavaScript, learn to build an AI tool that can recognise three classes of objects using your webcam. Each class will play a sound when classified that you can customise. |
1.5 hours |
|
AI Chess Player |
Learn how to build an AI chess game using HTML and JavaScript. Then see if you can win against the AI! |
2 hours |
|
AI Digital Assistant |
Create a JavaScript program that collects information from the user and uses it to have a dynamic conversation. |
2 hours |
|
AI – Animal Rescue |
Build a path-finding AI that can determine the fastest path to a location, using HTML and JavaScript. |
2 hours |
|
AI – Navigation Algorithm |
Learn how to code an algorithm that is needed for an AI powered self driving car. |
2 hours |
|
AI – Auto Navigation |
Build and test an AI self-driving car using HTML and JavaScript. |
2 hours |
|
AI – Find the finish line |
Build a self-driving car course and test the ability of the AI to complete the course. |
2 hours |