AI for Kids · Class 10

AI Course for Class 10 Students

A complete 36-week, 72-session artificial intelligence curriculum for Class 10 students—designed around practical tools, creative projects, academic usefulness and responsible AI habits.

36 weeksDuration
2 / weekSessions weekly
72 hoursTotal learning
AppliedLevel
A friendly AI robot beside a chat window and an idea spark

Quick answer

The Class 10 AI program is a one-year learning pathway with two one-hour sessions per week. Students learn to use generative AI for age-appropriate research, study, communication, creativity and problem-solving while practising fact-checking, privacy and responsible use.

Complete annual curriculum

9 modules × 8 sessions = 72 guided sessions

Select any module to read the full explanation—the big idea, the concepts unpacked, the session-by-session plan and the project students build.

Data feeding a model that produces an output
Module 1 · Sessions 18

Understanding Modern AI

Know the landscape and you stop being impressed by everything equally.

  • Foundation models
  • Multimodal systems
  • Capability evaluation
Project: AI landscape briefing
Explore this module →
Chained prompt stages checked against a scoring rubric
Module 2 · Sessions 916

Advanced Prompt Workflows

Reliable beats clever. Every time, in anything that matters.

  • Planning prompts
  • Rubrics and critics
  • Repeatable templates
Project: Reliable multi-step prompt workflow
Explore this module →
Stacked source documents being compared with a magnifier
Module 3 · Sessions 1724

Deep Research Skills

Certainty is easy to write. Honest uncertainty is much harder — and much more useful.

  • Research questions
  • Evidence quality
  • Citations and uncertainty
Project: Academic-style research explainer
Explore this module →
A dashboard of key numbers above a summary chart
Module 4 · Sessions 2532

AI for Data Decisions

A dashboard that looks authoritative and misleads is worse than no dashboard.

  • Dataset preparation
  • Visual analysis
  • Avoiding false claims
Project: Evidence-based decision dashboard concept
Explore this module →
One idea branching into text, image and audio outputs
Module 5 · Sessions 3340

Multimodal Media Lab

Professional work is not about better tools. It is about a process that finishes.

  • Creative direction
  • Production workflow
  • Rights and disclosure
Project: Professional-style explainer campaign
Explore this module →
A phone app design with an AI action button and a cursor
Module 6 · Sessions 4148

AI Products and Interfaces

The model is the easy part. The interface is where products succeed or fail.

  • User needs
  • Feature design
  • Prototype feedback
Project: Clickable AI product concept
Explore this module →
An automated workflow with gears and a human approval step
Module 7 · Sessions 4956

Automation with Human Control

Delegate the work. Never delegate the responsibility.

  • Agent roles
  • Approval and audit
  • Failure-safe design
Project: Responsible automation blueprint
Explore this module →
Balance scales beside a signpost of career directions
Module 8 · Sessions 5764

Governance, Exams and Careers

Everything you have learned this year comes with a question: when should you not use it?

  • Academic integrity
  • Privacy and law basics
  • AI career pathways
Project: Personal responsible-AI and career plan
Explore this module →
A presentation board with a chart and a presenting student
Module 9 · Sessions 6572

Portfolio Capstone

One original problem. One documented solution. One presentation you can stand behind.

  • Original problem
  • Iterative build
  • Public demonstration
Project: Documented AI solution and portfolio presentation
Explore this module →

Year-end outcome

A project the student can explain—not just display. By the end of the year, students can:

  • Define the problem or learning goal
  • Document important decisions and changes
  • Test the output and correct issues
  • Present the work and answer questions

Assessment approach

Progress across skills, projects and reflection. Reviews consider understanding, application, originality, accuracy, safety, debugging or verification, and the student's ability to explain their work.

  • Module practice and mini-projects
  • Mid-year review checkpoint
  • Portfolio documentation
  • Final capstone demonstration
Questions & answers

What families and schools ask

Does the Class 10 AI program require coding?
Coding is not a prerequisite. Students may encounter light technical concepts, but the emphasis remains on practical AI literacy, projects and responsible use.
Which AI tools will students use?
Students learn transferable workflows using age-appropriate tools such as ChatGPT, Claude, image generators, ElevenLabs and HeyGen. Specific tools may change as safer or more suitable options become available.
How many classes are included?
The academic-year program includes 72 guided sessions: two one-hour sessions each week for 36 instructional weeks.
How do you teach AI safety?
Privacy, fact-checking, copyright awareness, bias, respectful use and knowing when to ask an adult are embedded throughout the curriculum, not treated as a one-time lesson.

Your child's free trial is one message away.

Tell us your child’s class and what they enjoy. We will suggest the closest program fit—no pressure and no upfront payment.