11 Weeks,

Life Changing Knowledge

  • It all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more. Or maybe you have a creative project to share with the world. Whatever it is, the way you tell your story online can make all the difference.

  • It all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more. Or maybe you have a creative project to share with the world. Whatever it is, the way you tell your story online can make all the difference.

  • It all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more. Or maybe you have a creative project to share with the world. Whatever it is, the way you tell your story online can make all the difference.

AI Curriculum & Programs

Sections

  1. What we teach (quick bullets)

    • Foundations of coding (Python & block coding)

    • Machine learning basics (classification, datasets, models)

    • Creative AI (image generation, music, story generation)

    • Robotics & sensors (optional modules)

    • Responsible AI and digital citizenship

  2. Curriculum by level / age

    • Explorers (ages 8–9) — block coding, logic games, introduction to patterns & datasets, creative story-bots. End project: interactive story powered by simple logic.

    • Builders (ages 10–11) — Python basics, data collection, visual ML tools (Teachable Machine), fundamental ML concepts (train/test), end project: image classifier or chatbot.

    • Innovators (ages 12–13) — intermediate Python, libraries (NumPy/pandas basics), simple neural network concepts, project pipeline: dataset → model → evaluation → demo. End project: mini capstone (e.g., ML model + web demo or robotics integration).

    • Electives / labs — robotics, AI ethics deep dive, creative AI studio (music/images), competition prep.

  3. Teaching approach

    • Project-first, 1:1 feedback during labs, weekly mini-challenges, portfolio-ready end projects.

Learning outcomes (short)
Students will be able to: write and debug basic programs, explain how a simple ML model learns, build a small data-driven project, and evaluate AI ethically.

Call to action: Enrol now / Download sample lesson plan