Weekly Teen AI Builders Club: Advanced Projects

Club

Weekly Teen AI Builders Club: Advanced Projects

Weekly Teen AI Builders Club: Advanced Projects

An advanced weekly club where teens aged 13–17 build real AI projects in Python, from image classifiers to language-model tools and data science challenges. Small teams plan, code and demo a new build each week on a rotating four-week cycle.

Weekly Teen AI Builders Club: Advanced Projects

Paid once.

Level
Advanced
Ages
13–17
Duration
75 min
Classes
1 / Week
Weeks
Ongoing

Class Experience

This club is for teens who already know Python and want to move past tutorials into building AI projects that actually work. Each 75-minute session works like a mini hackathon: a clear brief, a short technical deep dive, focused team build time and a demo at the end.

The club follows a four-week rotating cycle. Computer vision week uses transfer learning to build an image classifier on a custom dataset. Language week explores how large language models work and has teams build a small text tool with prompts, structured output and simple guardrails. Data science week drops teams into a real public dataset to clean data, engineer features and compare models. The cycle ends with Demo Day, where each team ships and presents a polished mini app and gives feedback on other teams' code.

Teams of two or three rotate roles each week, taking turns as lead coder, tester and presenter. This builds the teamwork and communication skills that matter on real engineering teams, along with the confidence to explain technical decisions out loud. The teacher reviews code live, points out better patterns and pushes each team with stretch goals.

Returning members tackle harder variations of each theme, so the club stays challenging month after month. Over time, learners build a portfolio of working notebooks and demos they can show in school applications or competitions.

How classes work

Sessions run in Google Colab notebooks shared by the teacher. Each class has a 15-minute concept deep dive, about 45 minutes of team build time in breakout rooms with teacher check-ins, and a 15-minute demo and code review.

What we'll cover

  • Week 1: Computer Vision Sprint – Build and evaluate an image classifier on a custom dataset using transfer learning.

  • Week 2: Language Models in Practice – Build a small text tool with prompts, structured output and simple guardrails.

  • Week 3: Data Science Challenge – Clean a real dataset, engineer features and compare models to find the best performer.

  • Week 4: Team Demo Day – Ship a polished mini AI app, present it and give structured code-review feedback.

Learning Outcomes

  • Build image, text and data models in Python

  • Evaluate models with appropriate metrics

  • Work in a coding team with clear roles

  • Present technical decisions with confidence

  • Grow a portfolio of working AI projects

  • Use AI tools responsibly and spot their limits

Prerequisites

Learners should be comfortable writing Python (functions, lists, dictionaries and loops) and have some exposure to basic machine learning ideas. A free Google account is needed for Colab.

What You'll Need

Supplies
Computer with internetFree Google accountNotebook
Software
PYTHONGOOGLE_COLABSCIKIT_LEARNPANDAS
Device and internet
Computer (WindowsMac or Chromebook)Chrome browserFree Google account for ColabStable internet connection

Computer with a modern browser; a free Google account to use Google Colab; a notebook for planning builds.

Syllabus

4 Lessons

A step-by-step plan of what your child learns, class by class.

Computer Vision Sprint

Teams build and evaluate an image classifier on a custom dataset using transfer learning in Colab.

Language Models in Practice

Teams explore how large language models work and build a small text tool with prompts, structured output and guardrails.

Data Science Challenge

Teams clean a real public dataset, engineer features and compare models to find the best performer.

Team Demo Day

Teams ship a polished mini AI app, present their technical decisions and give structured code-review feedback.

Available Times

Next 7 days, US Eastern Time

  • Sun, Nov 8 · 10:30 AM
  • Mon, Nov 9 · 1:00 PM
  • Wed, Nov 11 · 1:00 PM
  • Wed, Nov 11 · 5:30 PM
  • Fri, Nov 13 · 7:30 PM

Parents Often Ask

Learners should be comfortable writing functions, loops, lists and dictionaries in Python and have some exposure to basic machine learning ideas. This is not a beginner club.

Learners work in teams of two or three in breakout rooms and rotate roles each week as lead coder, tester and presenter. The teacher visits each team to review code and set stretch goals.

Everything runs in Google Colab in the browser, so nothing needs to be installed. Learners need a free Google account and a computer with a modern browser.

Each week is a self-contained build, so they can join the next session without falling behind. The shared notebooks from the missed week are available to explore independently.

Learners build up a collection of working Colab notebooks and team demo apps. These can form a portfolio for school applications or competitions.

Meet your Instructor

Joined August, 2026

4.6

160

Reviews

10+

Years

3,200+

Students

A credentialed secondary educator and EdTech instructor with ten years of classroom and technology integration experience. Holds a master’s degree in secondary education with emphasis in life sciences and health, plus endorsements in biology, health and fitness. Professional back…

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