Entry requirements
Comfortable typing and either a completed CodeAugs Explorer term or equivalent experience. A short placement chat confirms the fit.
Developer pathway · Ages 13-19
Artificial Intelligence
What a model actually is, how it learns from data, where it fails - and how to use AI tools honestly in schoolwork.
What students achieve
Enrol in Artificial Intelligence
By the end of the term
- Explain training data, features and labels
- Train and test a simple classifier
- Measure accuracy and recognise overfitting
- Identify bias in a dataset
- Use AI assistants without outsourcing their thinking
FORMAT
12 weeks · 90-minute sessions · campus or live online
TOOLS
Python, Google Teachable Machine, scikit-learn, Colab notebooks
Syllabus
Week by week
Mentors adjust pace within the term, but every cohort covers the same milestones and finishes with a project.
History, current capability, and separating marketing from mechanism.
Collecting, cleaning and labelling a small dataset as a class.
Teachable Machine, then scikit-learn on a tabular dataset.
Accuracy, confusion matrices, bias and consent.
An image or text classifier solving a problem the student chooses.
Presenting results and answering questions on the limits of the model.
What we provide
Campus laptop or kit during sessions, all software licences, printed workbook and lesson recordings for online cohorts.
Next course
Most students continue to Game Development in the following term.
Try Artificial Intelligence free
One full session, no cost. Your child builds something small and you get a written placement note.