- Introduction to Python and AI/ML
- Data Types, Data Structures , and Control Flow
- Functions and Modules
- File Handling, NumPy for Numerical Operations and Introduction to Arrays and Matrices
- List Comprehensions, Lambda Functions and Decorators
- Pandas, Data Frames and Data Manipulation using Pandas
- Exploratory Data Analysis (EDA) with Pandas
- Basics of Machine Learning & Scikit-Learn Library
- Model Training and Evaluation + Supervised Learning with Scikit-Learn
- Introduction to Artificial Intelligence(AI)
- Introduction to Deep Learning and Neural Networks
