AI and Data Science

Python for AI and data analysis

Data cleaning and visualization

Statistics and probability for data science

Machine learning with Scikit-learn

Introduction to deep learning with TensorFlow/Keras

Basics of natural language processing (NLP)

Ethical considerations in AI and data use

Real-world project portfolio building