This LLM course combines learning roadmaps with Google Colab notebooks for studying large language models.
aman.ai
aman.ai publishes course notes and learning materials for Stanford classes in artificial intelligence and deep learning.

About aman.ai
aman.ai publishes course notes and learning materials for Stanford artificial intelligence and deep learning classes, including CS229, CS230, CS231n, and CS224n. It also includes material for Coursera Machine Learning, Deep Learning, and Natural Language specializations.
The site provides primers on topics such as transformers, attention, retrieval augmented generation, and model evaluation, plus Python-related material for NumPy, Pandas, PyTorch, and TensorFlow.
Key features
- Notes for Stanford CS229 Machine Learning
- Notes for Stanford CS230 Deep Learning
- Notes for Stanford CS231n Convolutional Neural Networks
- Notes for Stanford CS224n Natural Language Processing
- Primers on transformers, attention, and retrieval augmented generation
- Python primers for NumPy, Pandas, PyTorch, and TensorFlow
- Covers Stanford CS229, CS230, CS231n, and CS224n in one place
- Includes Coursera Machine Learning, Deep Learning, and language specializations
- Adds programming primers for common Python data and ML libraries
aman.ai at a glance
- Website
- aman.ai
- Category
- Education & Learning › Learn to Code
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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