Duration: 15 Months (120 Classes) | Mode: Online (Live Interactive)
Program Objectives
Master applied AI concepts including data modelling, automation and creative AI. Build multi-stage AI and STEM projects that combine logic, design and engineering. Learn Python for real-world applications – data science, visualization & robotics. Strengthen analytical thinking and independent research skills. Foster AI ethics, responsibility and digital leadership.
Term 1 (Weeks 1–12): AI Logic & Advanced Python Programming
Goal: Strengthen coding fundamentals and computational thinking.Topics: Data structures, functions, modules, intro to APIs, problem-solving methods.
Projects:
• AI Math Tutor (bot to explain math steps)
• Automated Study Planner (Python + calendar API)
Learning Practices: Daily 10-minute debug sessions, peer review of scripts, reflective journaling.
Term 2 (Weeks 13–24): Generative AI & Creative Automation
Goal: Explore content generation and creative AI applications.Topics: Text & image generation, AI voice tools, prompt engineering, multi-tool projects.
Projects:
• AI Magazine (create and design using AI tools)
• AI Music Director (lyrics + beats + cover art)
Learning Practices: Experiment with different AI models, maintain prompt logs, compare human vs AI creativity.
Term 3 (Weeks 25–36): Data Science & Analytics for Teens
Goal: Use AI to analyze and visualize data for decision making.Topics: Data collection, cleaning, visualization (Matplotlib / Pandas), ML concepts(regression, classification).
Projects:
• Predict the Weather (open data + ML)
• AI Trend Analyzer (analyze YouTube/sports data)
Learning Practices: Keep a data journal, record hypotheses, reflect on bias in data.
Term 4 (Weeks 37–60): Robotics, IoT & Automation
Goal: Apply AI to physical world simulation and automation.
Topics: IoT basics, sensor integration, robotics logic (simulators or Arduino IDE).
Projects:
• AI Smart Home Prototype
• AI Waste Sorter (robot simulation)
Learning Practices: Build-test-document cycles, teamwork, reflection videos.
Term 5 (Weeks 61–84): AI for Society & Sustainability
Goal: Use AI for real-world impact and ethical innovation.Topics: AI for sustainability, bias & fairness, AI governance, digital citizenship.
Projects:
• AI for Good Challenge
• Ethical AI Debate Series
Learning Practices: Weekly ethics reflections, peer moderation, case study reviews.
Term 6 (Weeks 85–120): Capstone Innovation Lab
Goal: Create and showcase a multi-disciplinary AI project.
Options:
• AI Start-Up Simulation (pitch + prototype)
• STEM Innovation Fair Project
• AI Documentary Video
Learning Practices: Agile project planning, weekly mentorship, post-project reflection.
Tools & Platforms
ChatGPT / Gemini / Replit / Python / Canva / Datawrapper / Arduino Sim / Mubert /Scratch / Google Colab
Assessment
Mini-projects (30%) | Participation & Innovation (20%) | Capstone (50%)
Certification
Orbis Academy Certificate in Advanced AI & STEM Innovation – Grade 8 (ExtendedProgram)