Artificial Intelligence Course Content
You will be exposed to the complete Artificial Intelligence Coursecourse details in the below sections.
This foundation of the AI & ML module is designed to help the learners decrypt Artificial Intelligence and Machine Learning Uncertainty. This module provides an outline of Artificial Intelligence, Machine Learning Concepts, and R programming.
- Introduction to Data Science, AI&ML
- R Essentials
- Statistical Analysis
Learning Outcomes: By the end of this module, you will get a basic knowledge of Artificial Intelligence, Machine Learning, and Data Science Fields. Along with this, you will be familiar with R programming and Statistical Analysis.
In this module, you will learn the Python programming fundamentals like Python Environment Setup, Python Data Types, Object-Oriented Programming Concepts, Python Operators, Python Control, and Looping Statements.
- Python Essentials
- Python Environment Setup
- Python Data Types
- Python Looping and Control Statements
- Object-Oriented Programming Concepts
- Database Connection
Learning Outcomes: By the end of this module, you will be able to configure the Python Environment and perform different logical and mathematical calculations through Python Programs.
This Module discusses different Python Libraries like Numpy, MatPlotlib, Pandas, and Scipy.
Learning Outcomes: At the end of this module, you will acquire real-time experience of working with Python libraries to perform different tasks like mathematical computing, Data Visualisation, Data analytics, and Scientific Computing.