Artificial Intelligence
Applied Machine Learning
From fundamentals to deploying real ML models with Python and scikit-learn.
Intermediate70 hours
Ali Mallah7,900,000 Toman
Artificial Intelligence
Deep Learning & Neural Networks
Build and train modern neural networks with PyTorch — from CNNs to Transformers and LLMs.
Advanced80 hours26 sessionsAli Mallah
Course Overview
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.
Where you learn
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.
Address and mapCourse Curriculum
Skills You Will Learn
Building neural nets with PyTorch
CNN, RNN & Transformer architectures
Fine-tuning pretrained models
Who Is This Course For?
- Machine learning course graduates
- AI researchers and engineers
Prerequisites
- ML course or equivalent
- Python proficiency
Course Certificate
Specialized deep learning certificate under the Iranian Center for AI Technologies.