About Artificial intelligence (AI) & Machine Learning (ML)

Artificial intelligence (AI) & Machine Learning (ML) is an allied branch of Computer Science, a Four year Under Graduate programme, which focuses on technology for creating intelligent machines which can think and work like human beings. The field of artificial intelligence has been an interdisciplinary endeavor, and is a technology which enables a machine to simulate human behavior. Machine learning is an application of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. ML focuses on the development of computer programs that can access data and use it learn for themselves. Artificial intelligence has made its way through all sectors of society. Every person is using this technology in some or the other way. Moreover, it is modified for different age groups and industrial sectors.

The program begins with introductory courses in programming, computer science, mathematics, and statistics that provide a firm technical foundation. From there, students learn core AI concepts and techniques of AI & ML, Virtual Reality, Web Applications, 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.

Vision of the Department

To exceed expectations as one of the alluded specialized Department, making progress through a dynamic learning environment; creating socially capable nationals

Mission of the Department

M1: To create trained, inventive and quality specialists in Artificial Intelligence and machine learning.

M2: To encourage staff to update skills and aptitudes by teaching proficient values in the alterably evolving environment.

M3: To develop best in-class infrastructural facilities, making progress.

M4: To produce commonly valuable associations with Government, Industry, Society, Alumni and advance Entrepreneurship.

The Program Educational Objectives (PEOs)

  1. Work productively as Computer Engineers, including supportive and leadership roles in multidisciplinary domain.

  2. Participate in life-long learning through the successful completion of advanced degrees, continuing education, certifications and/or other professional developments.

  3. Promote design, research, product implementation and services in the field of Computer Science and Engineering through strong technical, communication and entrepreneurial skills.

Program Specific Outcomes (PSOs) Artificial Intelligence and Machine Learning Graduates will be able to:

    1. Ability to apply the concepts and practical knowledge in analysis, design and development of computing systems and application to multidisciplinary problems.

    2. To provide a concrete foundation and enrich their abilities to qualify for employment, higher studies and research in artificial intelligence and machine learning.

Department Highlights:
  • The Department of Artificial Intelligence& Machine learning is providing high quality education, along with training the students with all the new advancements.

  • The learned and skilled Faculties of Department give prominence on all the important aspects of Computers, such as Data Structures, Design and Analysis of Algorithms, Python, Machine Learning, Artificial Intelligence, Deep Learning, Operating Systems, Data Science, Cloud Computing, and many more.

  • The Department also takes initiative to improve the Soft Skills, Analytical Capabilities and Verbal Communication of the students by various club activities and trainings.

  • The focus of the programs is on experiential learning implemented through course projects, mini projects and a major project along with seminars and assignments.

  • The Department encourages and motivates the students to attend conferences and workshops and publish papers in national / international conferences / journals.

Laboratory Facilities
  • Python Lab

  • AI Lab

  • Machine Learning Lab

  • Computer Programming Lab

  • Data Structures Lab

  • Design and Analysis of Algorithms Lab

  • Analog and Digital Electronics Lab

  • Microprocessor Lab

  • Data base Management System Lab

  • Mobile Application Development Lab 

Career opportunities
  • Data Scientist

  • Machine Learning Engineer

  • Data Analyst

  • Business Analyst

  • Data Engineer

  • Business Intelligence Engineer

  • Research Scientist

  • Software Engineer

Core Subjects:
  • Artificial Intelligence

  • Machine Learning

  • Data Structures

  • Data Science

  • Digital Image Processing

  • Design and Analysis of Algorithms

  • Computer Vision

  • Python Programming

  • Deep Learning

  • Data Base Management System

  • Neural Network

  • Natural Language Processing

  • Mobile Application Development 

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