STEP 1 – Fondamenti di Intelligenza Artificiale

 Concetti base

• Cos’è l’intelligenza artificiale – Fastweb (ITA)
  
  

• AI for Everyone – Andrew Ng (Coursera, EN)
  
  

• AI Explained Simply – IBM Learn Hub (EN)
  
  

 Video introduttivi

• Introduzione all’AI – Montemagno + Baricco (ITA)
  
  

• Artificial Intelligence – CrashCourse (EN)
  
  

 STEP 2 – Reti Neurali: teoria di base

 Concetti chiave

• Neural Networks – 3Blue1Brown (EN)
  
  

• Khan Academy – Introduzione alle Reti Neurali (EN)
  
  

• Corso base AI & NN – Elia Bombardelli + Physics In Minutes (ITA)
  
  

 Letture leggere

• Neural Networks from Scratch – Medium (EN)
  
  

• Articolo su Perceptron – Towards Data Science (EN)
  
  

 STEP 3 – Deep Learning e librerie Python

 Librerie principali

• TensorFlow – Guida ufficiale (EN)
  
  

• PyTorch – Tutorials (EN)
  
  

• Keras – Getting Started (EN)
  
  

 Corso consigliato

• Deep Learning Specialization – Andrew Ng (Coursera, EN)
  
  

• Practical Deep Learning – Fast.ai (EN)
  
  

 STEP 4 – Architetture fondamentali

 Reti feedforward e CNN

• What is a Neural Network – DeepLizard (EN)
  
  

• Convolutional Neural Networks Explained (EN)
  
  

 Reti ricorrenti e sequenziali

• RNN, LSTM e GRU – Colah’s Blog (EN)
  
  

• RNN Tutorial with PyTorch – YouTube (EN)
  
  

 STEP 5 – Transformer, GPT, BERT

 Concetti chiave

• The Illustrated Transformer – Jay Alammar (EN)
  
  

• How GPT Works – YouTube (EN)
  
  

• BERT Explained – Google AI Blog (EN)
  
  

 Approfondimenti

• Transformer Architecture – Papers with Code (EN)
  
  

• Attention is All You Need – paper originale (EN)
  
  

 STEP 6 – Allenamento, tuning, deployment

 Training e overfitting

• Overfitting Explained – DeepLizard (EN)
  
  

• Hyperparameter tuning – Weights & Biases guide (EN)
  
  

 Deployment e produzione

• TensorFlow Lite / ONNX / TorchScript – Introduzione (EN)
  
  

• Streamlit per AI demo (EN)
  
  

• FastAPI + PyTorch/TensorFlow – Guide (EN)
  
  

Bonus – Esercizi, dataset, community

 Esercitazioni pratiche

• Kaggle Learn – Deep Learning Track (EN)
  
  

• Google Colab Templates (EN)
  
  

• Hugging Face Courses – Transformers (EN)
  
  

 Dataset e playground

• UCI ML Repository
  
  

• Hugging Face Datasets Hub
  
  

• OpenML
  
  

 Community

• r/MachineLearning (EN)
  
  

• Hugging Face Discord (EN)
  
  

• StackOverflow tag: neural-network