Guided
Learners begin with more structure, clearer boundaries and support as they develop foundational AI judgement and start building.
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Students don't move through UpgrAIed simply by completing more content.
They begin with more structure and guidance. As they progress, they make more choices, take on more complex builds and apply what they have learned in new situations.
Guided → Choice → Transfer
The journey is designed to change not only what learners can make, but how much of the thinking, judgement and decision-making they can carry for themselves.
The 14 levels are not simply a sequence of harder topics. The expectations placed on the learner change too.
Learners begin with more structure, clearer boundaries and support as they develop foundational AI judgement and start building.
As they progress, learners are expected to make more decisions about how they approach problems, use AI and other tools, and shape what they build.
Later, learners apply what they have learned in new situations, combining capabilities, adapting their approach and carrying more of the judgement themselves.
The levels change more than the topic. They change what the learner is expected to decide.
Each level develops new capability. What changes across the journey is also how much of the thinking, choosing and building the learner is expected to carry for themselves.
Begin using AI purposefully while learning to keep your own thinking involved.
Representative build: An AI-generated day plan with the learner's own reflection.
Learn to choose tools based on the job rather than treating AI as one answer for everything.
Representative build: A decision framework matching the right tool to five different tasks.
Use AI to support learning while questioning and checking what it produces.
Representative build: AI-assisted research with source verification.
Move from generating content to making creative decisions about what should change and why.
Representative build: A finished poster redesigned through the learner's own judgement.
Move beyond making an app work by testing it with appropriate users and deciding what should improve.
Representative build: An app tested with appropriate users and improved from their feedback.
Bring structure, content and design decisions together in a complete digital experience.
Representative build: A live multi-page website.
Connect steps into workflows that can perform useful work while understanding what the automation is doing.
Representative build: A working automation with three or more connected steps.
Combine AI, creative judgement and interaction to build experiences rather than isolated outputs.
Representative build: A simple playable game created with AI assistance.
Turn capability into a defined offer by considering value, audience and what the work should reasonably cost.
Representative build: A service offer with a researched and reasoned starting price.
Present work in a way that makes the learner's own contribution and decisions visible.
Representative build: A case study showing personal contribution, one owned decision and an improvement plan.
Move from developing an idea to explaining it, responding to questions and deciding what should happen next.
Representative build: A live pitch panel with questions answered and one follow-up research, change or testing decision.
Design AI behaviour deliberately, test what could happen and decide what boundaries should exist before real-world use.
Representative build: An AI agent tested across three situations, with a possible failure identified and a real-world safeguard proposed.
Choose a problem, develop a solution over multiple build cycles, test and improve it, then stand behind the final work.
Representative build: A learner-chosen project taken from brief to live panel defence across three build weeks, using tester feedback and documented learner decisions.
Apply AI and building capability to a problem that matters beyond the learner's own use.
Representative build: A working community prototype demonstrated through a live link, screenshot or recording.
Progress is not just completing more modules. The learner is expected to carry more of the judgement.
More structure at the beginning. More learner independence later.
Earlier tasks define more of the path. Later work asks the learner to make more of the choices.
Learners move from contained activities toward more complex, connected and self-directed builds.
The learner increasingly applies what they know in new situations rather than repeating a familiar process.
The journey changes what the learner is expected to decide, not just what they are expected to complete.
The nature of the builds changes as the learner progresses.
Early builds help learners practise using AI with structure and judgement. Later builds ask them to combine more capabilities, make more decisions and stand behind the result.
Representative builds across the journey include:
The point is not to collect projects.
It is to become more capable of deciding what to build, how to approach it, what to trust, what to change and how to improve it.
As learners progress, their work does not disappear into a sequence of completed modules.
Builds · Responses · Submissions · Reflections · Your Take
Together, these create a continuing record of what the learner built, how they approached the work and how their judgement is expressed across the programme.
UpgrAIed does not treat a finished artifact as the whole story. The learner's decisions, reflections and submitted work remain part of the journey too.
Start with the first 3 modules free and see how your child responds to the learning.