Programs · AI Teens · Level 4

AI engineering course for teens aged 16–17Engineer: think like an AI engineer.

The second level of AI Teens. Older teens work with the same building blocks professionals use: embeddings, retrieval-augmented generation (RAG) and simple AI agents that plan and use tools. They also learn to evaluate AI systems for accuracy, bias and safety. The content builds on our professional AI Engineering program and is adapted for teens.

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Ages 16–17 Weekend & holiday batches Small, supervised groups Monthly progress notes

Level 4

Teen AI Engineer

Ages 16–17 Opening soon · join the waitlist

What they learn

Embeddings and retrieval-augmented generation (RAG)
Simple AI agents that plan and use tools
Evaluating AI systems for accuracy, bias and safety
Responsible AI: privacy, copyright and honesty

What they make

A capstone RAG app that cites its sources
A small tool-using AI agent
A project write-up they can present to anyone

How AI is used: The same supervised sandbox as Builder, plus API-based projects built in class. The content builds on our professional AI Engineering program and is adapted for teens.

Who it's for

Teen AI Engineer is a good fit for

Teens aged 16–17 heading towards computer science, engineering or a tech career
Teens who already code a little, or have completed AI Builder
Teens who want a capstone project they can present to anyone

When

Weekends and school holidays, so classes fit around the school calendar.

Where

Online or in person, depending on the batch. Tell us your preference when you register.

Method

Every class follows Think → Understand → Create → Build: the child's own thinking comes first.

Fees

Shown with each batch below, including 18% GST. Registering is free. See our refund policy.

Upcoming batches

Teen AI Engineer batches, dates and fees

New Teen AI Engineer batches are being scheduled

Join the waitlist See all batches

Teen AI Engineer: parents' questions

Engineer builds on the Python and prompting covered in Builder. If your teen hasn't done Builder, tell us what they have done when you register and we'll suggest the right starting point.

Retrieval-augmented generation (RAG) lets an AI answer from a chosen set of documents and cite its sources, instead of relying only on what it memorised. It is one of the most widely used techniques in real AI products, and the basis of the capstone project.

Engineer batches are announced on our Upcoming Batches page. Join the waitlist by registering, and we'll tell you as soon as dates and fees are confirmed.

It builds on our professional AI Engineering program, adapted for 16–17 year olds, with a supervised sandbox and our child-safety rules.

More answers on safety, data and fees in our FAQ and child-safety promise.