CSE (Artificial Intelligence & Machine Learning)

Introduction

Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. The field of artificial intelligence has been an interdisciplinary endeavor, requiring deep knowledge of both computational and human sciences. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. AI is the science and engineering of making intelligent machines, especially intelligent computer programs. Knowledge Engineering is an essential part of AI research. Machines and programs need to have bountiful information related to the world to often act and react like human beings. AI initiates common sense, problem-solving and analytical reasoning power in machines, which is much difficult and a tedious job. AI and Machine Learning (ML) are the part of computer science that are correlated with each other. These two technologies are the most trending technologies which are used for creating intelligent systems. ML is a subfield of artificial intelligence, which enables machines to learn from past data or experiences without being explicitly programmed.

The major focus of the programme is to equip the students who wish to acquire the ability to design intelligent solutions to real-time problems. This programme discusses artificial intelligence methods based on different fields like neural networks, signal processing and data mining, etc.

Program Overview:

The program begins with introductory courses in programming, computer science, mathematics, and statistics that provide a firm technical foundation. From there, learn core AI concepts and techniques including AI & ML Techniques, Virtual Reality, Web Applications using Machine Learning Techniques, Natural Language and Image Processing, Robotic Process Automation, Business Analytics, Speech Processing, Cognitive systems, Biometrics Systems, computer vision, and language understanding. The program includes a variety of advanced AI electives, enabling technical mastery in specific subfields. Also, specific electives are introduced that will focus on the Application of AI in various industry.

Labs and Practicals:

• Data Structures Lab, Algorithms Lab
• AI and Machine Learning Lab
• Web Applications Lab
• Mobile Application Development & Robotics Lab
• Internet of Things Lab

Career Opportunities

Graduates of the program will be well prepared to work across many sectors, including medicine, finance, robotics, and business intelligence Additionally, you will have a strong technical foundation to pursue graduate work in computer science or AI.

• Software developer
• Artificial intelligence engineer
• Data scientist