K-12 AI Hub: Grades 6-12 by Grade, Age and Topic

Which AI course fits your child?

Learning AI only works when the lesson matches the learner. A Grade 6 student needs AI explained through stories, games and unplugged activities; a Grade 11 student wants to build with large language models and put the result in a portfolio. LittleAIMaster is one Grades 6-12 path (ages 10-18) split into seven grade-aligned levels, 540+ chapters in total, and the level decides how much reading, maths and code a chapter asks for.

The sequence is the same for everyone, and each stage assumes the one before it. Grades 6-7 are no-code: AI history, how computers think, pattern recognition and digital citizenship. Grade 8 is the bridge to Python, where students write their first chatbot and image project. Grade 9 introduces real machine learning with Pandas, NumPy and scikit-learn. Grade 10 moves to deep learning with TensorFlow and Keras, including CNNs, RNNs and AI ethics. Grades 11-12 cover transformers and LLMs, generative AI, reinforcement learning, RAG systems, AI agents and career preparation. No prior coding experience is needed to start, and the first 3 chapters are free with no card.

Start with the page for your age band:

• Middle School AI Course & Curriculum (Grades 6-8)

  Ages 11-14. No-code AI concepts and games in Grades 6-7, then Python and first chatbots in Grade 8 — a full middle-school AI path, not a single lesson.

• AI Course for Grades 9-12

  Machine learning, deep learning, LLMs and generative AI, with the in-browser Python lab and CBSE AI 417/843 topic mapping for students taking the school elective.

• AI for Kids: how AI works, not just how to use it

  The plain-language introduction: what AI is, how it learns, and where children already meet it. The right first read if you are new to the subject.

• AI courses for kids: the 10 best online, compared

  Weighing up options? Our side-by-side comparison of free tools, self-paced apps, live AI classes and university programs, by age and price.

• Machine learning for kids — 10 projects by grade

  Ten hands-on ML builds grouped by grade, from a rock-paper-scissors predictor to a neural network, no-code first and then in real Python.

• Python + AI lab (45 in-browser modules)

  Where the coding happens: 45 modules of Python for AI that run in the browser, with nothing to install.

Not sure where to start? Pick the level that matches your child’s school grade — Grades 6-7 assume no coding at all, so a complete beginner in Grade 8 or above can read those chapters first. The first 3 chapters are free with no card, so you can check the fit before paying.