Artificial Intelligence
Applied Machine Learning
From fundamentals to deploying real ML models with Python and scikit-learn.
Средний · 70 ч
Ali Mallah7 900 000 томанов
Artificial Intelligence
Deep Learning & Neural Networks
Build and train modern neural networks with PyTorch — from CNNs to Transformers and LLMs.
Продвинутый80 ч26 занятийAli Mallah
Обзор курса
Deep learning powers AI's most stunning advances — from image recognition to large language models.
In this course you'll build neural networks from scratch with PyTorch, learn CNN and RNN architectures, and finally explore Transformers and the principles behind large language models.
Где проходит обучение
This advanced AI course runs at the North Tehran campus. In-person classes meet at EchoTech in Jordan, North Tehran (Golazin, No. 11). Live virtual groups and private sessions are also available.
Адрес и картаПрограмма курса
Какие навыки вы получите
- Building neural nets with PyTorch
- CNN, RNN & Transformer architectures
- Fine-tuning pretrained models
Для кого этот курс?
- Machine learning course graduates
- AI researchers and engineers
Требования к входу
- ML course or equivalent
- Python proficiency
Сертификат курса
Specialized deep learning certificate under the Iranian Center for AI Technologies.