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AI for Kids · Class 7

AI Course for Class 7 Students

A complete 36-week, 72-session artificial intelligence curriculum for Class 7 students—designed around practical tools, creative projects, academic usefulness and responsible AI habits.

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

Quick answer

The Class 7 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.

A sentence with predicted next words ranked by probability
Module 1 · Sessions 1–8

How Generative AI Works

It is not magic and it is not thinking. It is prediction on an almost unimaginable scale.

  • Patterns and predictions
  • Training data idea
  • Why AI can be wrong
Project: Interactive AI myth-vs-fact board
Explore this module →
A vague prompt being rewritten into a clear, structured prompt
Module 2 · Sessions 9–16

Prompt Design Studio

Stop retyping prompts. Start building a library you reuse all year.

  • Role, task and audience
  • Examples and formats
  • Prompt iteration
Project: Reusable prompt library for schoolwork
Explore this module →
Stacked source documents being compared with a magnifier
Module 3 · Sessions 17–24

Research Without Copying

Research is not collecting sentences. It is deciding which sentences deserve trust.

  • Question planning
  • Source comparison
  • Notes and citations
Project: Mini research brief with source trail
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A friendly robot helping with an open book and flashcards
Module 4 · Sessions 25–32

Smart Study Systems

Rereading feels productive. Testing yourself actually is.

  • Concept breakdown
  • Flashcards and quizzes
  • Revision planning
Project: Seven-day AI-supported revision system
Explore this module →
A written description turning into a generated picture
Module 5 · Sessions 33–40

Design and Digital Art

A designer starts with a brief, not with a button.

  • Creative briefs
  • Image prompting
  • Copyright and originality
Project: Awareness-poster campaign
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A microphone with a sound wave and headphones
Module 6 · Sessions 41–48

Audio and Podcast Lab

Podcasts sound relaxed because they were carefully scripted to sound that way.

  • Script structure
  • Voice generation
  • Sound and disclosure
Project: Three-minute learning podcast
Explore this module →
A video player with captions and a stack of slides behind
Module 7 · Sessions 49–56

Video Communication

Explaining something to a younger student is the toughest test of whether you understand it.

  • Storyboard
  • Avatar presenters
  • Captions and accessibility
Project: Explainer video for a younger class
Explore this module →
Chat bubbles arranged as a branching conversation flow
Module 8 · Sessions 57–64

No-code Chatbot Thinking

Designing a chatbot teaches you something surprising: most of the work is deciding what it should refuse to do.

  • Conversation flows
  • Helpful boundaries
  • Testing responses
Project: Prototype school-help chatbot
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An idea lightbulb over a map pin surrounded by people
Module 9 · Sessions 65–72

AI for Community

Look around your neighbourhood. Something there could be better.

  • Problem discovery
  • Solution design
  • Pitch and reflection
Project: Community-improvement AI concept
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 7 AI program require coding?
No. The program develops practical AI literacy, creativity, research habits and responsible tool use without requiring programming.
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.

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