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  • QUICK FACTS

  • 34

    industry collaborations

  • 16+

    lakhs in scholarships

  • 50%

    Faculty members hold PhD

  • 100%

    placement for students

 

OVERVIEW

 

The Department of Artificial Intelligence and Machine Learning (AI/ML) in School of Computer Science and Engineering offers a B.Tech program in Computer Science and Engineering (Artificial Intelligence and Machine Learning). This program aims to provide students with a strong foundation in the principles and techniques of AI and ML, as well as hands-on experience in applying these technologies to real-world problems.

Throughout the program, students will learn about the various subfields of AI and ML, including computer vision, natural language processing, robotics, deep learning, and others. They will study algorithms and techniques for machine learning and gain practical experience through laboratory work and projects.

The program is designed to be interdisciplinary, drawing on coursework and expertise from a variety of fields, including computer science, mathematics, and statistics. In addition to the core coursework, students will have the opportunity to participate in research projects, both within the department and with other departments and institutions.

Graduates of the B.Tech program in Computer Science and Engineering (Artificial Intelligence and Machine Learning) will have a deep understanding of the principles and practices of AI and ML, and will be prepared to work in a variety of industries and roles, including data analysis, software development, and research. They will be well-equipped to tackle challenging problems and contribute to the advancement of AI and ML.       

 

 

ABOUT US

 

The Department of Artificial Intelligence and Machine Learning focused on preparing students to meet the ever-increasing technological and social challenges with traditional self-discipline, hard work, all-around personality development, and a creative approach to problem-solving.

Department is having state of the art computing facilities including a supercomputer and VMware Hypervisor. Rigorous academic practices and project-based learning helps strong record for quality placements, higher education, and entrepreneurship skills. Our strong industry partnerships with Cisco, Dell, IBM, Microsoft, Oracle, etc allow students for internships both on campus and in the industry apart from large numbers of placements in these Fortune 500 companies.

The department offers the following programs:

 

 

 

VISION

 

  • To achieve Excellence in Computer Science and Engineering (Artificial Intelligence and Machine Learning) Education for Global Competency with Human Values.

 

MISSION

 

  • Provide innovative Academic & Research Environment to develop competitive Engineers in the field of Artificial Intelligence and Machine Learning
  • Develop Problem-solving & Project Management Skills by Student Centric Activities & Industry Collaboration
  • Nurture the Students with Social & Ethical Values

 

OBJECTIVES

 

The Department of Artificial Intelligence and Machine Learning focuses on the ddevelopment and implement of AI and ML curriculum for students at all levels. It aims to Foster a culture of innovation and critical thinking in the field of AI and ML. The department provide students with hands-on experience in designing and implementing AI and ML models, encourage interdisciplinary collaborations between AI and ML researchers and educators in various fields.

 

It also foster partnerships with industry leaders to bring real-world applications into the classroom and stay current with the latest advancements in AI and ML research and incorporate these into the curriculum. It facilitates students' transition into the AI and ML workforce by providing job readiness skills and career development opportunities.

 

 

SALIENT FEATURES

 

  • Well-Designed Curriculum & Course Structure: The curriculum has been designed as per the latest industry demands.
  • Choice Based Credit System (CBCS): Students have the option to choose program electives based on their interests.
  • Academic Flexibility: Students have the option to choose open electives from other domains (other than computer science) with the aim to enhance their skills and more scope of taking up case studies, projects, assignments, and vocational training including entrepreneurship.
  • Professional Memberships: Association for Computing Machinery (ACM), Computer Society of India, IEEE, and IEEE Women in Engineering (WIE).
  • Holistic Development of Students: Music, Literature, and Dramatics Clubs facilitate students to show their prowess in the cultural arena, under the able guidance of expert faculty. Technical Clubs like the Green Club, Robotics Club, IEEE Students’ chapter, IE(I) and ICEIT chapters, etc. allow the students to learn and update themselves with the latest technologies and showcase their abilities in various fields, outside their scope of the study.
  • Placements: Placements assistance (Mock Drives/Interviews), Internships Assistance, Placement classes by the expert team of Training and Placement.
  • Research Facilities with high power deep learning workstations with GPU RTX2020 configurations.
  • Internet of Things Lab with Edge devices Raspberry Pi and Arduino.

 

 

AREA OF SPECIALIZATION

 

The department offers specializations in several important and emerging areas for the AI & ML.

  • Health Care Analytics
  • Behavior Analytics

 

 

CAREER OPPORTUNITIES

 

  • Machine Learning Engineer - Design, develop and implement ML algorithms.
  • Data Engineer - Design and build scalable data processing systems and pipelines.
  • AI Software Engineer - Develop software applications that incorporate AI technologies.
  • AI DevOps Engineer - Manage the deployment, scaling, and maintenance of AI systems.
  • Robotics Engineer - Design and develop intelligent robots and robotic systems.
  • Computer Vision Engineer - Design and develop computer vision systems and applications.
  • Natural Language Processing (NLP) Engineer - Design and develop NLP systems and applications.
  • AI Solutions Architect - Design and build end-to-end AI solutions for clients.
  • As per the report published by Gartner, Artificial Intelligence & Machine Learning Domain will create 23 Lakhs Job Opening and this Industry demand will subsequently increase in the upcoming years.
  • The 4-year degree program will nurture and transform the students into a highly skilled professional to land a high paying AI-ML job in various Nationals & International Platforms.

PROGRAMS

 

 

The Department of Artificial Intelligence and Machine Learning offers the following programs:

 

 

FACULTY

Students willing to pursue a degree in the domain of AI&ML, I encourage you to embrace the challenges and opportunities of the field. You are the ones who will carry the torch of AI and ML into the future, and I have no doubt that you will do great things.

Let's continue to work together to build a better future with AI and ML.

Dr. Santosh K Vishwakarma

HoD | CSE (AIML) School of Computer Science and Engineering

FACILITIES

RESEARCH

 

The areas of research include - High Performance Computing, Machine Learning, Cloud Computing, VANET Security, Sentiment Analysis, Cryptography, Image Processing, Data Mining, Information Retrieval, Information Security , Internet of Things, Malware Detection, Computer Vision, Approximation Algorithms, Artificial Intelligence, Software Engineering, Databases, Big Data Analytics, Real Time Application, Mobile computing, Distributed Computing, Soft Computing, Network & Security, Advanced Computer Arch., Automata Theory, Security in Ipv6 (Mipv6).