Duke of Edinburgh Award Skills

DofE AI Award Levels for Bronze, Silver and Gold

A dedicated AI route for DofE Skills section learners: Bronze starts with visual and creative AI, Silver builds machine learning foundations, and Gold develops applied Python ML portfolio evidence.

Built for AI Skills Evidence

The AI route is designed around visible project work, clear explanations and practical artefacts that students can use for their DofE Skills section evidence.

Visual AI Projects

Students can produce chatbot, classifier, image-model and visual pipeline evidence depending on their level.

ProjectsEvidence

Model Understanding

The route helps students explain data, training, evaluation, model choice and why AI systems behave differently.

AI literacyModels

Portfolio Outcomes

Bronze and Silver build smaller artefacts, while Gold gives students a longer data challenge portfolio project.

PortfolioShowcase

Accessible Progress

The pathway keeps AI concepts approachable while still giving students practical evidence they can explain clearly.

AccessibleDofE-focused

Questions Parents Ask

Clear answers for families deciding whether this route fits their child's current coding level, goals and schedule.

Which DofE AI level should my child choose?

AI Bronze is best for beginners, AI Silver is best for students ready for machine learning foundations, and AI Gold is best for students ready for Python-based applied machine learning.

Is AI Bronze suitable without previous AI experience?

Yes. AI Bronze is designed as the accessible starting point, using visual tools, simple model ideas and creative AI projects before students move into deeper machine learning.

How is the AI pathway different from Coding?

The AI pathway focuses on machine learning ideas, classifiers, generative tools, model evaluation and portfolio artefacts. The Coding pathway focuses on Python programming and algorithmic problem-solving.

Ready to Choose an AI Level?

Start with Bronze, compare Silver or Gold, or book a trial lesson before joining a live AI cohort.