This course will let us get comfortable with the Python programming language used for Artificial Intelligence and Machine Learning. We start with a high-level idea of Object-Oriented Programming and later learn the essential vocabulary(/keywords), grammar(/syntax) and sentence formation(/usable code) of this language. This course will drive you from introducing AI and ML to the core concepts using one of the most popular and advanced programming languages, Python.

Python Basics

Python is a widely used high-level programming language and has a simple, easy-to-learn syntax that highlights readability. This module will help you drive through all the fundamentals of programming in Python, and at the end, you will execute your first Python program.

Jupyter notebook – Installation & function

You will learn to implement Python for AI and ML using Jupyter Notebook. This open-source web application allows us to create and share documents containing live code, equations, visualisations, and narrative text.

Python functions, packages and routines

Functions and Packages are used for code reusability and program modularity, respectively. This module will help you understand and implement Functions and Packages in Python for AI.

Pandas, NumPy, Matplotlib, Seaborn

This module will give you a deep understanding of exploring data sets using Pandas, NumPy, Matplotlib, and Seaborn. These are the most widely used Python libraries.

Working with data structures,arrays, vectors & data frames

Data Structures are one of the most significant concepts in any programming language. They help in the arrangement of leader-board games by ranking each player. They also help in speech and image processing for AI and ML. In this module, you will learn Data Structures like Arrays, Lists, Tuples, etc. and learn to implement Vectors and Data Frames in Python.