■ Duration: 12 Months (48 Weeks) |■ Mode: Online (Live Interactive)
■ Program Objectives
Understand core Artificial Intelligence and Machine Learning concepts. Build logic, analytical, and creative problem-solving skills. Create AI-based projects using text, art, and data. Explore coding (Python basics + logic building). Apply AI in real-world STEM contexts. Learn digital ethics and responsible AI use.
■ Term 1 (Weeks 1–12): Foundations of AI & Logic
■ Goal: Develop understanding of AI concepts and basic logic.
■ Topics: What is AI and how it works Human vs Machine intelligence Introduction to Machine Learning with examples Data patterns & decision trees Coding basics with Python (variables, loops, if-else) Logic games and algorithmic thinking
■ Projects: “My AI Assistant” concept poster Code a number-guessing game Create a digital decision tree for school subjects
■ Learning Outcome: Students understand AI as pattern recognition and gain basic coding logic.
■ Term 2 (Weeks 13–24): Generative AI & Creative Computing
■ Goal: Explore how AI creates content (text, images, music).
■ Topics: Introduction to Generative AI Understanding text generation (ChatGPT, Gemini) Prompt engineering for better AI responses AI Art tools (Craiyon, Canva Magic Write) Basics of AI music and voice generation
■ Projects: “AI Storyteller”: write and illustrate a story using AI “AI Art Gallery” showcase Create a short AI-generated comic
■ Learning Outcome: Students learn to collaborate with AI as a creative partner and develop digital literacy.
■ Term 3 (Weeks 25–36): AI Meets STEM
■ Goal: Integrate AI with Science & Math concepts through projects.
■ Topics: AI in Science – predicting weather and climate AI in Math – pattern recognition and problem solving Using Python for STEM projects (data visualization) Introduction to AI sensors and robotics concepts Data collection and analysis for kids
■ Projects: “Smart Weather Predictor” simulation “AI Math Solver” chatbot “AI Energy Saver” poster or prototype
■ Learning Outcome: Students see how AI is used in scientific contexts and apply their learning to real-world problems.
■ Term 4 (Weeks 37–48): Ethics, Innovation & Capstone Project
■ Goal: Think critically about AI impact and create an end-to-end project.
■ Topics: Responsible AI use and ethics Bias and fairness in AI How AI changes careers and future skills Design thinking for innovation Project management basics
■ Final Capstone Projects (Choose One): “AI for Good” project – solving a local issue with AI “AI Innovation Fair” presentation (poster + demo) “AI Video Explainer” of a STEM concept
■ Final Showcase: ■ AI Innovation Day – students present projects to parents and peers.
■ Learning Outcome: Confidence in using AI for creative and ethical problem solving.
■ Tools & Platforms
ChatGPT / Gemini (for text generation) Canva Magic Write / Craiyon (for AI art) Python (Trinket.io / Replit) (for coding practice) Kahoot / Scratch (for logic and AI games) Soundful / Mubert (for music generation)
■ Assessment
Mini-projects (each term) – 40% Participation & creativity – 20% Final capstone project – 40%