Artificial Intelligence

Artificial Intelligence

Course Overview

The programme aims to help students gain practical knowledge and accelerate entry into the roles of Artificial Intelligence/ Machine Learning Scientist, Computer Scientist AIML, Data Scientist, Machine Learning Engineer, Robotics Scientist, Business Intelligence Developer and AI Research Scientist. This project (internship)-based and multi-skill course will provide structured and unstructured data to solve critical business problems with machine learning and deep learning.

Course Objectives

• Introduction to Machine Learning and Artificial Intelligence
• Python for AI and ML
• Machine Learning Life Cycle
• Mathematics for Machine Learning: Linear Algebra, Multivariate Calculus, Principal Component Analysis (PCA)
• Revisiting Supervised and Unsupervised Learning
• Recommended Systems
• Discriminative and Generative Models
• Introduction to Neural Networks and Deep Learning
• Computer Vision
• Natural Language Processing
• Project Work