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Answer what you can. Up to three suggestions update as you go, each with the reasons. You do not need to give your name or contact details to see them. Your answers stay in this page's address, so you can reload or share it; nothing is stored on our side unless you choose to ask a counsellor.
3 programmes to explore
AI & Creative Coding for Teens (Ages 13–17)
Why this was suggested
- Beginner level suits someone who is new to the subject.
- A gentle way to explore the subject.
View courseWhat you will learn, build and need
- What will I learn?
- Write and debug short Python programs using variables, lists, conditions, loops and functions.
- Read a small table of data, spot patterns and summarise them with simple counts and charts.
- Write clear prompts and check AI answers against trusted sources before using them.
- What will I build?
- Bot reply taken from the chapter notes with a fallback for unknown questions; or a predicted label with test accuracy and confusion table reported.
- What should I know before joining?
- Comfortable using a browser, keyboard and files; Class 8 level maths.
- What can I study next?
- AI for Finance and Accounting
- How will I be assessed?
- Weekly quizzes 20% · Lab notebooks and checkpoints 30% · Final project 40% · AI-use pledge and responsible-use reflection 10%. These weights are suggested and still under academic review.
AI Explorers for Kids (Ages 8–12)
Why this was suggested
- Beginner level suits someone who is new to the subject.
- A gentle way to explore the subject.
View courseWhat you will learn, build and need
- What will I learn?
- Explain in simple words what AI is, what it is not, and that it learns from examples.
- Train and test a simple picture-sorting model using self-drawn or synthetic images.
- Ask AI clear questions and spot wrong or made-up answers by checking with a trusted adult or source.
- What will I build?
- A working game, a before-and-after score sheet (for example 6/9 then 8/9) and a short poster explaining how it learned and one mistake it still makes.
- What should I know before joining?
- Can read simple English or Tamil sentences and draw with crayons or pencils
- What can I study next?
- AI for Finance and Accounting
- How will I be assessed?
- Understanding of what AI is and how it learns 20% · Training and testing the picture model 30% · Asking good questions and checking answers 15% · Safety, privacy and fairness choices 20% · Showcase presentation 15%. These weights are suggested and still under academic review.
AI for HR and Recruitment
Why this was suggested
- Beginner level suits someone who is new to the subject.
- A gentle way to explore the subject.
View courseWhat you will learn, build and need
- What will I learn?
- Explain where AI can assist HR work and where a person must decide.
- Draft inclusive, job-related job descriptions and check them against a checklist.
- Support screening and interviews with AI while masking proxy data and running fairness checks.
- What will I build?
- Portfolio with corrected job description, masked summaries, human decision log, fairness check, interview bank, assistant test log, audit log and limitations.
- What should I know before joining?
- Basic computer and spreadsheet use; AI Productivity or equivalent is helpful.
- What can I study next?
- AI for Finance and Accounting
- How will I be assessed?
- Weekly practical deliverables 40% · Decision-scenario knowledge checks 20% · Observed HR workflow portfolio 40%. These weights are suggested and still under academic review.
These are suggestions from simple, stated rules based on your answers. They are not an aptitude test, not a decision and not a promise of any result. Curriculum details are drafts under academic review.