Placements 2024 - 1646 Offers - CAPGEMINI - 315 (7.5 Lacs, 5.75 Lacs & 4.25 Lacs Salary) * TCS – 211 (9 Lacs , 7 Lacs & 3.86 Lacs Salary) * ACCENTURE – 145 (4.5 Lacs Salary) * ITC INFOTECH INDIA LIMITED – 82 (4.25 Lacs Salary) * GK POWER EXPERTISE PVT LTD – 48 (3.08 Lacs Salary) * KODNEST – 29 (4 Lacs Salary) * HEXAWARE – 28 (6 Lacs and 4 Lacs Salary) * UST GLOBAL – 24 (4.25 Lacs Salary) * SLK SOFTWARE – 24 (3.2 Lacs Salary) * QUEST GLOBAL – 23 (3.25 Lacs Salary) * EPISOURCE – 22 (3 Lacs Salary) * VTS ENTERPRISES - 10 (8.5 Lacs Salary) * NSL HUB – 10 (5 Lacs Salary) * ZIFO RND SOLUTIONS – 10 (4.76 Lacs Salary) * MITSOGO TECHNOLOGY – 9 (4 Lacs Salary) * KGISL – 9 (3.6 Lacs to 6 Lacs Salary) * AVASOFT – 8 (6 Lacs to 5 Lacs Salary) * ZSCALER - 7 (19.5 Lacs & 14.5 Lacs Salary) * HP INC - 6 (8 Lacs Salary) * SONY INDIA SOFTWARE CENTER – 6 (7.25 Lacs Salary) * FUJITEC - 6 (3.5 Lacs Salary) * ONE YES INFOTECH SOLUTIONS - 5 (8 Lacs Salary) * BLUESCOPE – 5 (4.5 Lacs Salary) * ADVANTECH – 5 (4.5 Lacs Salary) * ROBERT BOSCH – 5(4.5 Lacs Salary) * DELOITTE – 5 (4.5 Lacs Salary) * TESSOLVE-5 (4.13 Lacs Salary & 3 Lacs Salary) * DIGITAL EPCS – 5 (4 Lacs to 5 Lacs Salary) * SEVAL SOFT – 5 (3.5 Lacs to 5 Lacs Salary) * VODAFONE – 4 (7.25 Lacs Salary) * ZOHO – 4 (7 Lacs & 5.6 Lacs Salary) * TECH MAHINDRA – 4 (6 Lacs Salary) * SANMAR - 4 (4.84 Lacs Salary) * SANMINA-4 (3.4 Lacs Salary) * FOCUSR – 4 (3 Lacs Salary) * RENTLY - 3 (8 Lacs Salary) * TIGER ANALYTICS – 3 (7.5 Lacs Salary) * TALENTSPRINT – 3 (6.15 Lacs Salary) * STEAM A – 3 (6 Lacs to 8 Lacs Salary) * FORD MOTOR PRIVATE LIMITED – 3 (6 Lacs Salary) * ASAHI GLASS – 3 (4.25 Lacs Salary) * PLANYS TECHNOLOGIES PVT LTD – 3 (4 Lacs Salary) * LUCID IMAGING – 3 (4 Lacs to 5 Lacs Salary) * BGR ENERGY – 3 (3.6 Lacs Salary) * MAPAL – 3 (3.6 Lacs Salary) * INFINITI SOFTWARE – 3 (2.8 Lacs to 4 Lacs Salary) * TEJAS NETWORKS - 2 (10 Lacs Salary) * EUNIMART - 2 (8 Lacs Salary) * KAAR TECHNOLOGIES – 2 (6.5 Lacs Salary) * SPRING WORKS – 2 (6 Lacs to 9 Lacs Salary) * JMAN GROUP – 2 (5 Lacs Salary) * RENAULT NISSAN – 2 (4.25 Lacs Salary) * AMPHISOFT – 2 (4 Lacs Salary) * DATA PATTERN-2 (3.6 Lacs Salary) * TELLIANT-2 (3 Lacs Salary) * HASHEDIN BY DELOITTE - 1 (8.1 Lacs Salary) * DELTAX – 1 (7.5 Lacs Salary) * LUMEN – 1 (7 Lacs Salary) * SCHNEIDER ELECTRIC - 1 (5.5 Lacs Salary) * CONVERSIGHT.AI INDIA PVT LTD - 1 (5 Lacs Salary) * COGNIZANT -1 (4 Lacs Salary) * JASMINE INFOTECH PVT LTD - 1 (3.7 Lacs Salary) * KAVIN INFOTECH -1 (3.25 Lacs Salary) * SHOBHA DEVELOPER-1 (3 Lacs Salary) * OTHERS - 490
Placements 2024 - 1646 Offers - CAPGEMINI - 315 (7.5 Lacs, 5.75 Lacs & 4.25 Lacs Salary) * TCS – 211 (9 Lacs , 7 Lacs & 3.86 Lacs Salary) * ACCENTURE – 145 (4.5 Lacs Salary) * ITC INFOTECH INDIA LIMITED – 82 (4.25 Lacs Salary) * GK POWER EXPERTISE PVT LTD – 48 (3.08 Lacs Salary) * KODNEST – 29 (4 Lacs Salary) * HEXAWARE – 28 (6 Lacs and 4 Lacs Salary) * UST GLOBAL – 24 (4.25 Lacs Salary) * SLK SOFTWARE – 24 (3.2 Lacs Salary) * QUEST GLOBAL – 23 (3.25 Lacs Salary) * EPISOURCE – 22 (3 Lacs Salary) * VTS ENTERPRISES - 10 (8.5 Lacs Salary) * NSL HUB – 10 (5 Lacs Salary) * ZIFO RND SOLUTIONS – 10 (4.76 Lacs Salary) * MITSOGO TECHNOLOGY – 9 (4 Lacs Salary) * KGISL – 9 (3.6 Lacs to 6 Lacs Salary) * AVASOFT – 8 (6 Lacs to 5 Lacs Salary) * ZSCALER - 7 (19.5 Lacs & 14.5 Lacs Salary) * HP INC - 6 (8 Lacs Salary) * SONY INDIA SOFTWARE CENTER – 6 (7.25 Lacs Salary) * FUJITEC - 6 (3.5 Lacs Salary) * ONE YES INFOTECH SOLUTIONS - 5 (8 Lacs Salary) * BLUESCOPE – 5 (4.5 Lacs Salary) * ADVANTECH – 5 (4.5 Lacs Salary) * ROBERT BOSCH – 5(4.5 Lacs Salary) * DELOITTE – 5 (4.5 Lacs Salary) * TESSOLVE-5 (4.13 Lacs Salary & 3 Lacs Salary) * DIGITAL EPCS – 5 (4 Lacs to 5 Lacs Salary) * SEVAL SOFT – 5 (3.5 Lacs to 5 Lacs Salary) * VODAFONE – 4 (7.25 Lacs Salary) * ZOHO – 4 (7 Lacs & 5.6 Lacs Salary) * TECH MAHINDRA – 4 (6 Lacs Salary) * SANMAR - 4 (4.84 Lacs Salary) * SANMINA-4 (3.4 Lacs Salary) * FOCUSR – 4 (3 Lacs Salary) * RENTLY - 3 (8 Lacs Salary) * TIGER ANALYTICS – 3 (7.5 Lacs Salary) * TALENTSPRINT – 3 (6.15 Lacs Salary) * STEAM A – 3 (6 Lacs to 8 Lacs Salary) * FORD MOTOR PRIVATE LIMITED – 3 (6 Lacs Salary) * ASAHI GLASS – 3 (4.25 Lacs Salary) * PLANYS TECHNOLOGIES PVT LTD – 3 (4 Lacs Salary) * LUCID IMAGING – 3 (4 Lacs to 5 Lacs Salary) * BGR ENERGY – 3 (3.6 Lacs Salary) * MAPAL – 3 (3.6 Lacs Salary) * INFINITI SOFTWARE – 3 (2.8 Lacs to 4 Lacs Salary) * TEJAS NETWORKS - 2 (10 Lacs Salary) * EUNIMART - 2 (8 Lacs Salary) * KAAR TECHNOLOGIES – 2 (6.5 Lacs Salary) * SPRING WORKS – 2 (6 Lacs to 9 Lacs Salary) * JMAN GROUP – 2 (5 Lacs Salary) * RENAULT NISSAN – 2 (4.25 Lacs Salary) * AMPHISOFT – 2 (4 Lacs Salary) * DATA PATTERN-2 (3.6 Lacs Salary) * TELLIANT-2 (3 Lacs Salary) * HASHEDIN BY DELOITTE - 1 (8.1 Lacs Salary) * DELTAX – 1 (7.5 Lacs Salary) * LUMEN – 1 (7 Lacs Salary) * SCHNEIDER ELECTRIC - 1 (5.5 Lacs Salary) * CONVERSIGHT.AI INDIA PVT LTD - 1 (5 Lacs Salary) * COGNIZANT -1 (4 Lacs Salary) * JASMINE INFOTECH PVT LTD - 1 (3.7 Lacs Salary) * KAVIN INFOTECH -1 (3.25 Lacs Salary) * SHOBHA DEVELOPER-1 (3 Lacs Salary) * OTHERS - 490

Artificial Intelligence and Machine Learning

Coding is today's language of creativity

Ignite your passion for technology and embark on a journey of innovation and
discovery with our cutting-edge Artificial Intelligence and Data Science

About the Department

The faculty of AI & ML is the soul of many engineering branches. This field is instrumental in bringing the world to where it is today.  Our department has dedicated, well-qualified and experienced faculty members who are specialists in the areas of Database, Data Mining, Computer Architecture, Operating Systems, Image Processing, Wireless Network, Artificial Neural Networks’, Information Security and Programming Languages. They actively involve themselves in research activities in the field of their specialization. They have published a number of papers in Journals and Conferences of National and International repute. The department attributes its success to the creative and innovative outlook of its students also. It encourages students to participate in numerous symposiums and to present papers in them. Students are also made to undergo in-plant training programs, where they hone their technical skill in the realm of computers. etc.

VISION

To emerge with technological excellence to nurture talents and instigate research skills with social responsibilities in the domain of Data Science.

MISSION

Empower students with knowledge through experiential learning. To create a conducive ambience for learning through exposures in latest cutting-edge technology in collaboration with industries. To provide individual attention and enable character building. Instil lifelong learning and encourage entrepreneurial skills among students

PROGRAMME EDUCATIONAL OBJECTIVES

PEO1

To provide graduates with the proficiency to utilize the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volume of data.

 

PEO2
To enrich graduates with necessary technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems. 


PEO3
To enable graduates to think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.

PROGRAM OUTCOMES

PO1

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.



PO2

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.



PO3

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.



PO4

Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.



PO5

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.



PO6

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.



PO7

Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.



PO8

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.



PO9

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.



PO10

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.



PO11

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.



PO12

Life Long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PROGRAM SPECIFIC OUTCOME

 

PSO1

Addressing societal problems through design and development of software and firmware solutions using latest Computer Science tools and technologies.

 

PSO2

Involving students enthusiastically in software development, software testing, storage, computing and business intelligence sectors.

 

PSO3

Making them to use their technical expertise in latest technologies and update knowledge continuously in Artificial Intelligence and Data Science to excel in career.

Career Opportunity

Artificial Intelligence and Machine Learning is a professional engineering Under-Graduate degree course that is a total of four years duration. During the past few years, AI and Data Science have emerged as one of the most high-growth, dynamic, and lucrative careers in technology. The Bachelor of Technology in Artificial Intelligence and Data Science is a skill-oriented course and is mostly based on practical and application-based research.

Laboratories

laboratories are fully equipped with systems and latest software with an environment to implement and experiment knowledge acquired in the classroom.

Data Analytics & Cloud Computing Laboratory
Mobile Application Development Laboratory
Design And Analysis of Algorithms Laboratory
Programming Laboratory – 1
Programming Laboratory – 2
Digital Laboratory
Open Source Laboratory
Faculty Details

INTAKE

Programme of Study

Under Graduate Course B.Tech. Artificial Intelligence & Machine Learning

Description

Started with 60 seats in 2024

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