CSE(AI&ML)

Department of CSE(Artificial Intelligence and Machine Learning)

Notifications

B.Venkata Kundana(235014207), student of CSE (AI & ML), has successfully completed the NPTEL course Foundations of R Software with a Top 5% achievement during the August to November 2025 session.
P.Gowtham Ram Sai(235014241), student of CSE (AI & ML), has successfully completed the NPTEL course Foundations of R Software with a Top 5% achievement during the August to November 2025 session.
Shaik Abdul Naveed(235014251), student of CSE (AI & ML), has successfully completed the NPTEL course Foundations of R Software with a Top 5% achievement during the August to November 2025 session.
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

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.