Machine LearningAges 13–18Intermediate → Advanced

Machine Learning & AI

Train real models on real data — and understand why they work.

A rigorous but approachable path into modern AI. Students explore real datasets, train and evaluate models in Python, then build a neural network from scratch before re-implementing it in PyTorch. They leave able to read a paper and explain back-prop on a whiteboard.

6
Models trained
PyTorch
Industry tools
Yes
Certificate
See the curriculum
1-ON-1 LIVE · FIRST CLASS FREE · CANCEL ANYTIME
🤖
14 weeks · 28 live sessions
What your child will learn

Real skills, built one confident win at a time

The ML workflow: data → model → evaluate → improve
Train regression, classification and tree-based models
Understand overfitting, splits and honest evaluation
Build a neural network from scratch in pure Python
Re-implement and train models in PyTorch
Ship an end-to-end ML project with a write-up
The learning path

A clear, 14 weeks journey — unit by unit

Every unit ends with something your child has actually built. Pace is 1-on-1, so no one is ever rushed or held back.

  1. 01

    Data Habits

    WEEKS 1–2

    Load, clean and explore real datasets; plot to build intuition.

    pandasEDA
  2. 02

    First Models

    WEEKS 3–5

    Fit regression and classification models and read the metrics.

    scikit-learnMetrics
  3. 03

    Evaluation

    WEEKS 6–7

    Train/test splits, overfitting and how to trust a result.

    ValidationBias
  4. 04

    Nets from Scratch

    WEEKS 8–10

    Hand-code forward and backward passes to truly understand them.

    BackpropNumPy
  5. 05

    PyTorch

    WEEKS 11–12

    Rebuild and train the same network with modern tooling.

    PyTorchTraining
  6. 06

    Capstone

    WEEKS 13–14

    Ship an end-to-end project: data, model, evaluation and write-up.

    ProjectCommunication
Real things they'll build

Projects, not just lessons

Kids remember what they make. Each project is a genuine artifact your child keeps, shares and builds on.

📈Week 4

Price Predictor

A regression model that predicts prices and explains its errors.

🖼️Week 9

Image Classifier

Train a model to sort images and analyse where it fails.

🧮Week 10

Net from Scratch

A working neural network in pure Python — no frameworks.

🚀Capstone

ML Capstone

A full project on a dataset the student cares about, with a report.

🏆 HACKATHONS & CHALLENGES

AI Datathon

A Kaggle-style challenge where students get a real dataset and compete to build the best model over a weekend, with mentor guidance. A genuine, standout artifact for college applications.

Runs every 6 weeks
🥇Top Leaderboard model
📊Best Analysis & write-up
💡Most Original Approach
Tools & tech they'll use

Real, industry-grade tools — made age-appropriate

No toy software that gets thrown away. Your child works with the same core tools professionals use, introduced gently.

PythonNumPy & pandasscikit-learnPyTorchJupyter
Try a tasteLIVE · SANDBOXED
slope = -0.77R² = 0.98
Your child's mentor
EL
Elena Liang
MSc ML · ex-DeepMind summer fellow
★ 5.0140 STUDENTSEN · ZH

Every session is 1-on-1 with a vetted mentor who has shipped real work — not a pre-recorded video. You'll get progress notes after each class.

What they walk away with
  • Six trained models and a documented capstone on GitHub
  • A real grasp of how modern AI works under the hood
  • A portfolio piece strong enough for college apps
  • A path into research, AI web dev or generative AI
🎓
Verified certificate of completion
Shareable proof of every skill your child earns.
Parent questions

Everything you're wondering

We keep it intuition-first. Comfort with basic algebra is enough; the mentor introduces any new math visually, exactly when it is needed.

Yes, some Python is assumed. Our Python Programming course (or equivalent experience) is the ideal prerequisite.

Yes — pandas, scikit-learn and PyTorch are the same tools used by professional ML engineers and researchers.

A documented, end-to-end ML project is a powerful portfolio and essay artifact. Mentors help frame it for applications.

Where to go next

Courses that pair well

Generative AI · Ages 13–18
Generative AI & Prompt Engineering
AI Web Dev · Ages 14–18
AI-Powered Web Dev
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Start Machine Learning & AI with a free trial class

Meet the mentor, see the platform, and watch your child build something on day one. No card required.

$259 / 4 WEEKS · CANCEL ANYTIME
$259 / 4 weeks
FIRST CLASS FREE