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🧠 AI & Machine Learning · Software · Exhibition

AI — Teach a machine to think

Your teen in Toronto or Berlin doesn't just use AI — they build it. Train real machine-learning models, ship neural networks, present real AI projects at the year-end exhibition. The most in-demand skill in tech, taught by instructors who use it daily at Iran's leading AI lab.

📚 4 seasons / year ⏱ 110 hours / year 🎓 Ages 14+ 🧠 Real models on real data
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Current term — train a real modelFree trial · meet a coach · see live ML demos.
AI machine learning illustration
Pick your child's age tier — all teen-only

Your 14-year-old learns the fundamentals of AI and machine learning + Python for AI — and trains their first real model.

One-year roadmap — Junior teens tier

Four seasons of fundamentals.

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Season 1 — Autumn

What is AI? Python + math

Sep–Dec · 24 class hours + 1 workshop

What's AI? + Python fundamentals + the math you need.

What they learn
  • What's AI? What's machine learning?
  • Brief history of AI
  • Python for AI (NumPy, pandas)
  • Statistics fundamentals
  • Linear algebra (intro)
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End of Season 1AI + Python fundamentals + Season 1 certificate
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Season 2 — Winter

Classical ML + scikit-learn

Jan–Mar · 24 class hours + 1 workshop

Classical ML + scikit-learn library + first models.

What they learn
  • Supervised vs. unsupervised learning
  • Linear / Logistic regression
  • Decision Trees
  • K-Means clustering
  • scikit-learn library
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End of Season 2First ML model + Season 2 certificate
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Season 3 — Spring

Neural networks (intro)

Apr–Jun · 24 class hours + 1 workshop

Neural networks fundamentals + simple deep learning + TensorFlow / Keras.

What they learn
  • What's a neural network?
  • Perceptron + multi-layer
  • Backpropagation (concept)
  • TensorFlow / Keras fundamentals
  • First neural network for digit recognition
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End of Season 3Working neural network + Season 3 certificate
⭐ Online exhibition
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Season 4 — Summer

First AI project + exhibition

Jul–Sep · Personal project + online exhibition

First personal AI project + presentation at the online exhibition.

What they experience
  • Defining a personal AI project
  • Data collection
  • Model training + evaluation
  • Online exhibition with Iranian peers worldwide
  • Pro project documentation
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End of Year 1Annual diploma + AI project + exhibition certificate

Your 16-year-old learns serious deep learning — CNNs, RNNs, Transformers — and builds a real project (image classifier, chatbot, recommendation system).

One-year roadmap — Mid teens tier

Four serious seasons of deep learning.

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Season 1 — Autumn

Deep learning + PyTorch

Sep–Dec · 24 class hours + 1 workshop

Deep learning + PyTorch + advanced neural networks.

What they learn
  • PyTorch framework
  • Tensors + autograd
  • Advanced neural networks
  • Optimizers (SGD, Adam)
  • Dropout, BatchNorm, Regularization
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End of Season 1Pro deep learning + Season 1 certificate
❄️
Season 2 — Winter

CNN + computer vision

Jan–Mar · 24 class hours + 1 workshop

Convolutional Neural Networks + computer vision applications.

What they learn
  • CNN architecture
  • Image classification
  • Transfer learning
  • Pre-trained models (ResNet, VGG)
  • Real CV project
👁️
End of Season 2Image classifier + Season 2 certificate
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Season 3 — Spring

NLP + Transformers

Apr–Jun · 24 class hours + 1 workshop

Natural Language Processing + Transformers + simple chatbots.

What they learn
  • NLP fundamentals
  • Word embeddings
  • RNNs + LSTMs
  • Transformer architecture (concepts)
  • HuggingFace + simple chatbot
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End of Season 3NLP project + Season 3 certificate
⭐ Real project
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Season 4 — Summer

Real AI project + Kaggle

Jul–Sep · Real project + Kaggle

Real AI project + participation in a Kaggle competition + exhibition.

What they experience
  • Defining a real AI project
  • Pro production cycle
  • Participating in a Kaggle competition
  • Online exhibition
  • Portfolio entry
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End of Year 1Annual diploma + Kaggle entry + exhibition certificate

Your 17-year-old reaches near-research level — LLMs, RLHF, MLOps, research papers — and builds a real AI product. Ready for top global universities and AI research.

One-year roadmap — Older teens tier

Four pro seasons.

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Season 1 — Autumn

Advanced architectures + LLMs

Sep–Dec · 24 class hours + 1 workshop

Advanced architectures + Large Language Models + fine-tuning.

What they learn
  • Advanced Transformers (BERT, GPT)
  • LLM fundamentals
  • Fine-tuning + LoRA
  • Prompt engineering
  • RAG (Retrieval-Augmented Generation)
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End of Season 1Fine-tuned LLM + Season 1 certificate
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Season 2 — Winter

RL + advanced models

Jan–Mar · 24 class hours + 1 workshop

Reinforcement Learning + RLHF + advanced models.

What they learn
  • Reinforcement Learning fundamentals
  • Q-Learning + Deep Q-Networks
  • Policy Gradient
  • RLHF (used by ChatGPT)
  • Generative models (GANs, VAEs)
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End of Season 2RL agent + Season 2 certificate
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Season 3 — Spring

MLOps + deployment

Apr–Jun · 24 class hours + 1 workshop

MLOps + AI model deployment + scalable production systems.

What they learn
  • MLOps fundamentals
  • Model serving (FastAPI, TorchServe)
  • Docker + Kubernetes (intro)
  • Monitoring + A/B testing
  • Cloud deployment (AWS, GCP)
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End of Season 3Deployed model + Season 3 certificate
⭐ Research project
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Season 4 — Summer

Research project + portfolio

Jul–Sep · Research project

Research-grade project + paper writing + university-ready portfolio.

What they experience
  • Research project
  • Reading + reproducing recent papers
  • Writing a technical report
  • Online exhibition
  • University-ready global portfolio
🥇
End of Year 1Annual diploma + research project + exhibition certificate

🏅 Certificates from the AI Program

Official Novin Zehn certificate at every season end + annual diploma + portfolio at year-end.

1Autumn season certificate
2Winter season certificate
3Spring season certificate
4Annual diploma + portfolio
📈 After year one

Two paths forward

Year two: pro AI track or branching into AI applications.

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Path 1 — AI Research expert

Advanced research + paper reproduction + AI lab internships.

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Path 2 — Computer Vision / NLP

Switch to Computer Vision or LLM / Chatbots for specialization.

📞 Get full details about the AI Program

Free consultation walks through lesson plans, real projects, and the exhibition.

📞 Book a free consultation Request a free trial class
Frequently asked

Questions parents abroad ask us

Does my child need a powerful computer?

No. We use Google Colab (free GPUs) and Kaggle Kernels. Even a basic laptop works.

Is Python prerequisite?

Junior teens — no. Mid teens — Python fundamentals helpful. Older teens — Python is required.

Is this a real path to AI research?

By year 3 of the Older teens tier, students have research-grade portfolios. Many of our alumni have continued into top global universities.

What's Novin Zehn's AI background?

Our instructors actively work in research and industry, including at Iran's leading AI lab. They use these exact tools daily.

What about timezones?

Multiple class times per week across EST, PST, GMT, CET. All sessions recorded.