The Builders (Grades 9-10)

Mastering the AI Project Cycle, Ethics, and Neural Networks.

Grades 3-5 Grades 6-8 Grades 9-10 Grades 11-12
Module 1

AI Project Cycle

Structured Problem Scoping & Requirements GatheringFramework
Data Acquisition, Cleaning & ExplorationSkill
Rule-based vs Learning-based ModellingConcept
Model Evaluation, Iteration & DeploymentProcess
Module 2

Advanced Python & Data

Data Analysis & Visualisation LibrariesSkill
Descriptive & Inferential StatisticsConcept
Probability & Data-driven Decision MakingApplication
Module 3

Visual ML & Data Mining

Exploratory Data Analysis & VisualisationSkill
Classification Algorithms — Decision Trees & k-NNConcept
Clustering & Unsupervised Pattern DiscoveryConcept
Predictive Modelling on Real-world DatasetsProject
Module 4

Neural Networks & Deep Learning

Neural Network Architecture & FundamentalsConcept
Feature-based Object & Face DetectionSkill
Text Vectorisation & NLP ModellingSkill
Module 5

AI Ethics & Frameworks

Ethical Frameworks & Moral ReasoningEthics
Bias, Fairness & Algorithmic AccountabilityEthics
Case-based Analysis of AI Ethical DilemmasApplication
Module 6

AI and Robotics

Real-time Computer Vision on Physical HardwareSkill
Building & Deploying an Applied AI SystemProject
Affective Computing & Emotion RecognitionApplication
Intelligent IoT & Smart System DesignProject