Learning Modules

AI-Practices includes 9 core learning modules.

Module Overview

Module	Name	Difficulty	Duration
01	ML Foundations	⭐⭐	4-6 weeks
02	Neural Networks	⭐⭐⭐	3-4 weeks
03	Computer Vision	⭐⭐⭐	3-4 weeks
04	Sequence Models	⭐⭐⭐	3-4 weeks
05	Advanced Topics	⭐⭐⭐⭐	2-3 weeks
06	Generative Models	⭐⭐⭐⭐	3-4 weeks
07	Reinforcement Learning	⭐⭐⭐⭐	3-4 weeks
08	Theory Notes	⭐⭐	Reference
09	Projects	⭐⭐⭐⭐	Ongoing

Learning Paths

Beginner Path

01-foundations → 02-neural-networks → 03-computer-vision
                                    ↘
                                      04-sequence-models

Advanced Path

05-advanced → 06-generative
            ↘
              07-reinforcement-learning

Practice Path

09-projects (includes Kaggle gold solutions)

Tech Stack

Machine Learning

• Scikit-learn
• XGBoost / LightGBM / CatBoost

Deep Learning

• TensorFlow / Keras
• PyTorch
• Hugging Face Transformers

Data Processing

• NumPy / Pandas
• OpenCV / Pillow
• NLTK / spaCy