G. Venkata Krishna has been selected for the INAE CEEE Program at IIT Kharagpur, which includes two weeks of offline sessions (16th June 2025 to 27th June 2025) followed by two weeks of online sessions.
Ms. Gudapati Pavani, Assistant Professor in CSE (Data Science), has successfully completed the NPTEL course
Introduction to Machine Learning with an Elite certification, during the January to April
2025 session
Ms. CH Mounika, Assistant Professor in CSE (Data Science), has successfully completed the NPTEL course
Introduction to Machine Learning with an Elite certification, during the January to April
2025 session
K S S Narayana, Assistant Professor in CSE (AI&ML), has successfully completed the NPTEL
course
Cryptography and Network Security with an Elite+Silver certification,
during the January to April
2025 session
N Susmitha, Assistant Professor in CSE (AI&ML), has successfully completed the NPTEL course
Deep Learning with an Elite+Silver certification, during the January to April
2025 session
The student selected for the Summer Internship at Heritage
Foods Ltd - 2025 in the
with a stipend of ₹30,000 per month.
Student secured an onsite internship at Benzne Consulting in the field of
Intelligence and Machine Learning, with a stipend of ₹40,000 for the entire duration.
The student selected for theBNY Mellon Internship 2025 secured
2nd place at the national level in the
same challenge and was awarded a cash prize of ₹45,000.
2 Students got qualified in GATE-2025
Student secured an onsite internship at Symphonize in the field of
Intelligence and Machine Learning, with a stipend of ₹30,000 for the entire duration.
6 students selected for the IASc-INSA-NASI Summer Research Fellowship 2025.
One Student selected for the NPTEL 2025.with a stipend of ₹12,500 for the entire
duration.
B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is a
four-year
undergraduate program that started with an intake of 60 in 2022 and focuses on designing and developing
intelligent computer systems.
The program typically covers a broad range of topics in computer science, including data structures,
algorithms, problem-solving techniques, programming languages, operating systems, databases, and computer
networks. In addition, the program may include courses on Artificial Intelligence (AI) and Machine
Learning (ML) topics such as supervised and unsupervised learning, reinforcement learning, deep learning,
natural language processing, and computer vision
In this program, the students will learn through practical experience, hands-on projects, internships,
capstone projects, research and other experiential learning, and how to apply these technologies to
real-world problems.
Graduates of this program may work in various industries, including technology, finance, healthcare,
retail, transportation, manufacturing, energy, agriculture, marketing, cybersecurity, government and more.
Opportunities like data scientists, machine learning engineers, AI researchers, deep learning engineers,
business intelligence analysts, AI product managers, data engineers, software developers, or other roles
involve designing and implementing intelligent systems. They may also pursue further studies in
post-graduate programs in AI and ML or related fields.
Here are some of the top industries that have a high demand for AI/ML experts
Technology:The technology industry is one of the largest employers of AI/ML engineers and
researchers. Companies such as Google, Amazon, Apple, Netflix and Facebook, among others, have large
teams of AI/ML experts working on various applications.
Healthcare:Healthcare organizations are using AI/ML to improve the delivery of caution and
conduct clinical research, including developing diagnostic tools and personalized medicine.
Finance: Financial institutions, such as banks and investment firms, use AI/ML techniques for
risk management, fraud detection, and algorithmic trading.
Retail and e-commerce: Companies in the retail and e-commerce industries use AI/ML to improve
customer service, personalize recommendations, and optimize supply chain management.
Automotive and transportation: AI/ML is used to develop autonomous vehicles and optimize
logistics and fleet management.
Manufacturing and Logistics: Companies in manufacturing and logistics use AI/ML for
optimization, predictive maintenance and Quality control.
Media and Advertising: Companies in media and advertising use AI/ML to analyze and target
audiences, personalize content and optimize ad placement
Energy, Natural resources and utilities:Companies in these industries use AI/ML to optimize
operations, such as production and distribution management.
Cyber security: Companies and organizations that provide cyber-security solutions use AI/ML to
protect against data breaches, cyber-attacks, and data theft.
Government and Public Secto: Governments and public sector agencies use AI/ML to improve public
services, manage natural resources, and protect national security.
To provide rich ambience for Academic and Professional Excellence, Research, Employ
-
ability skills, Entrepreneurship, and Social responsibility.
To empower the students with technical knowledge, Awareness of up-to-date technical
trends, Inclination for research in the areas of human needs, Capacity building for
Employment / Entrepreneurship, and Application of technology for societal needs.
PROGRAM OUTCOMES (POs)
PO-1
Engineering Knowledge:
Apply the knowledge of mathematics, science, engineering
fundamentals, and an engineering specialization to the solution of complex
engineering problems.
PO-2
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.
PO-3
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.
PO-4
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.
PO-5
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.
PO-6
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.
PO-7
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.
PO-8
Ethics:
Apply ethical principles and commit to professional ethics and responsibilities and
norms of the engineering practice.
PO-9
Individual and Team Work:
Function effectively as an individual, and as a member or leader in diverse teams, and in
multidisciplinary settings.
PO-10
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.
PO-11
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.
PO-12
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 EDUCTIONAL OUTCOMES (PEOs)
PEO-1
The graduates of the program will excel in the concepts of basic engineering and advanced
concepts of computer science engineering.
PEO-2
The graduates of the program will be professional in computing industry or pursuing higher
studies.
PEO-3
The graduates of the program will excel in team work, ethics, communication skills and contribute
to the benefit to the society.
PROGRAM SPECIFIC OUTCOMES (PEOs)
PSO-1
Apply the Knowledge of Computing Skills in building the Software Systems that meet the
requirements of Industry and Society.
PSO-2
Apply the Knowledge of Data Engineering and Communication Technologies for Developing
Applications in the Domain of Smart and Intelligent Computing.
Facilities (Our Assets)
Application Development
Design and develop modern applications. Focus on full-stack
development.
Programming Languages Lab
Master various programming paradigms. Enhance coding
efficiency.
Data Visualization Tools
Turn data into insights with visuals. Learn tools like
Tableau and Power BI.
Deep Learning Lab
Focus on neural networks and AI. Work on real-world AI
projects.
NLP Lab
Explore natural language processing. Build intelligent
language models.
Database Systems Lab
Learn database design and management. Master SQL and NoSQL
systems.
Skill Development
Collaborate on innovative team projects. Enhance
problem-solving skills.
Full Stack Web Development
Build responsive websites and web applications using modern
technologies.
