What Your Child Builds Every Month at KURAI

A new project every month

At KURAI, learning is organised around monthly projects. Every four weeks, students start something new, build it from scratch, refine it, and present it at a showcase for their classmates and parents.

This isn't busywork. Each project is designed to teach specific AI skills through a real creative challenge. By the end of the month, every child has something tangible to show — something they conceived, built, and presented themselves.

Here's what those projects actually look like in our two AI programmes. For a detailed breakdown of how each month is structured, see our guide to the 4-week project cycle.

AI Explorers: projects for ages 8 to 11

The AI Explorers programme introduces younger learners to AI through guided, creative projects. Each one builds a different core skill while keeping children engaged with a clear, exciting goal.

AI storybooks

Students write and illustrate an original storybook using AI image generation tools. They plan their narrative, craft detailed prompts for each illustration, and iterate until the visuals match their vision. The finished product is a real book — printed or digital — that they read aloud at the showcase.

What they learn: Prompt writing, visual composition, narrative structure, iteration.

Image classifiers

Students collect their own photo datasets, label them, and train a model to distinguish between categories. When the model gets something wrong, they investigate why — was the data biased? Were the photos too similar? They debug by improving the data, not just the code.

What they learn: Data quality, pattern recognition, bias awareness, systematic debugging.

Pattern puzzles

Children design interactive puzzles powered by AI pattern recognition. They collect data, train simple models, and build a puzzle that challenges classmates to find the pattern the AI learned. The showcase turns into a puzzle tournament.

What they learn: Data collection, model training, logical thinking, game design.

AI character creators

Students design original characters by combining hand-drawn sketches with AI generation tools. They develop backstories, personalities, and visual styles — directing AI as a creative collaborator. At the showcase, they introduce their characters to the class.

What they learn: Creative direction, prompt engineering, character design, storytelling.

AI Creators: projects for ages 11 to 14

The AI Creators programme pushes older students into more complex, independent work. The projects are bigger, the tools more sophisticated, and the expectations closer to what professionals produce.

AI newsrooms

Students run a simulated newsroom. They choose topics, use AI tools to research and draft articles, fact-check claims, and publish a finished edition. At the showcase, they present their publication and defend their editorial choices to the audience.

What they learn: Media literacy, editorial judgement, AI-assisted research, fact-checking, responsible AI use.

Campaign builders

Students design awareness campaigns around causes they care about — environmental, social, or community issues. They use AI to generate visuals, draft compelling copy, and analyse target audiences. The showcase is a pitch presentation to a simulated client panel.

What they learn: Persuasive communication, audience analysis, visual design, project management.

Prompt playbooks

Students create comprehensive guides to prompt engineering. They test different techniques — chain-of-thought, few-shot, role-based — across multiple AI tools and document what works, what fails, and why. The showcase is a masterclass where they teach their best techniques to the group.

What they learn: Systematic experimentation, technical writing, deep prompt engineering, peer teaching.

Innovation pitches

Students identify a real-world problem, design an AI-powered solution, build a working prototype, and pitch it to a panel of judges. This mirrors how startups operate — from problem identification through solution design to investor pitch.

What they learn: Problem-solving, prototyping, entrepreneurial thinking, public speaking, design thinking.

Every project follows the same rhythm

Regardless of the programme, every monthly project follows four stages:

1. Week 1 — Launch. The creative challenge is introduced. Students brainstorm, plan, and begin exploring the AI tools they will use.
2. Week 2 — Build. Students create their first working version. This is where the core building happens.
3. Week 3 — Test and Improve. Students get feedback from instructors and peers, identify weaknesses, and refine their work.
4. Week 4 — Showcase. Students present their finished project to the class and parents. They explain what they built, how it works, and what they learned.

This cycle teaches children not just AI skills, but how to manage a project from start to finish — a capability that transfers to school, to hobbies, and eventually to professional work.

To learn more about how students progress through the full programme, see our guide to Foundation and Mastery stages. Not sure which programme is right for your child? Here's how to choose.