CSE(AI&ML)

Five-Day Hands-on Workshop on Generative AI with Large Language Models by Mr. Rupesh Prasad, Senior Scientist, HCL Software (IIT Madras alumnus) | 2–6 Jan 2026 | for III Year CSE (AI & ML) & CSE (Data Science) students.

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

Faculty Achievements

Congratulations to Mrs. P.Naga Mani

Your Scopus-indexed publication, “An Efficient Advanced Authentication System with Two Servers – An Artificial Intelligence Secure System”, Scopus Published in Journal of Theoretical and Applied Information Technology — 30th June 2025 A remarkable academic achievement — well done! ✨ Wishing you continued success in your research.

Congratulations to Ms. T. Deepa

Your publication, “Detection of Depression in Social Media Posts using Emotional Intensity Analysis”, has been published in Engineering, Technology & Applied Science Research — October 2024. A commendable academic achievement reflecting impactful research — well done! ✨ Wishing you continued success in your research journey.

Congratulations to Mrs. P. Sai Geetha

securing the top rank in NPTEL - Accreditation and Outcome Based Learning

Congratulations to Mr.VenkataKrishna

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.

Student Achievements

Congratulations to
K. Sreenivasa Reddy (23501A4229)

for securing the top rank in NPTEL-Foundations of R Software

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 knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.

PO-2

Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)

PO-3

Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)

PO-4

Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).

PO-5

Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)

PO-6

The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).

PO-7

Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)

PO-8

Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

PO-9

Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences

PO-10

Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

PO-11

Life-long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)

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.

Events

LLM Hackathon | GenAI, LLM & RAG

This hackathon showcased innovative GenAI, LLM, and RAG-based student projects.

Intelligence Threat Detection using Cybersecurity

Team Members

Cheedalla Pavan Pratheek, Kollipara Jyothi Swaroop Sai, Sri Lakshmi Sivani Dadi, Kommineni Venkata Ratna Chowdary

AI Assistant for Job Preparation & Campus Placements

Team Members

Madduri Sonu Srivatsa Rahul, Rohini Pinninti, Sravanthi Choragudi

MaskED: A Privacy-First AI Email Assistant

Team Members

Suma Harshitha Yarramsetty, Vineetha Palavalasa, Kethala DeviSri, Shaik Shameera

Government Scheme Explainer Chatbot

Team Members

Lakshmi Prasanna Gogam, Chinta Durga Meenakshi, S. Rishika, Eda Jayasri

College Placement Result Analysis Model

Team Members

Nikhil Sai Bonam, Sai Venkatesh Ramisetti, A. Vishal, Surya Kantaspurthy

Pose2Performance: Multimodal GenAI for Cricket Coaching

Team Members

Paravada Ganesh, Venkata Subhash, Devi Chelluri, Lakshmi Manasa

5-Day Hands-on Workshop on Generative AI, LLM, RAG & Agents

Workshop on Generative AI, LLMs, RAG, and Agents, offering students a strong blend of theory, system architecture, and real-world relevance in modern AI systems, led by Mr. Rupesh Prasad.

Day-1

Introduced LLM fundamentals, including evolution, embeddings, tokenization, interaction methods, and Prompt Engineering.

Day-2

Explained the key components of the Transformer Decoder for context-aware text generation.

Mr. Rupesh Prasad

Consultant – Data Science

Dell Technologies

Day-3

Explored decoder internals and introduced Retrieval-Augmented Generation to enhance LLM knowledge accuracy.

Day-4

Explored end-to-end RAG architecture, vector databases, re-ranking, and evaluation strategies, highlighting how retrieval improves factual accuracy and reduces hallucinations.

Industry-Ready Skills Advancement Program

The one-week Industry-Ready Skills Advancement Program successfully enhanced students’ aptitude, reasoning, and placement readiness through structured, practice-oriented sessions, led by Dr. Roshan Nisar

Introduced quantitative aptitude fundamentals with speed techniques through intensive practice on Time & Work, Time & Distance, SI/CI, and Mixtures.

Focused on Percentages, Profit & Loss, and Averages using conversion shortcuts, real-world applications, and numerical intuition building.

Dr. Roshan Nisar

Founder & CEO, The Leader

State First Ranker, Gold Medalist, LinkedIn Top Voice

Covered advanced Time & Work concepts, emphasizing team efficiency and logical approaches to complex aptitude problems.

Reinforced learning through circular permutations and a 60-question mixed practice session, complemented by engaging logic puzzles.

Contact

Department of CSE(AI&ML)

Tel: 0866-2581699

651 (Department Extension No.)

Email: hodcsm@pvpsiddhartha.ac.in

Fax: 0866-2581184

Location

Notifications

Faculty Achievements

Congratulations to Mrs. P.Naga Mani

Congratulations to Ms. T. Deepa

Congratulations to Mrs. P. Sai Geetha

Congratulations to Mr.VenkataKrishna

Student Achievements

Congratulations to K. Sreenivasa Reddy (23501A4229)

Facilities (Our Assets)

Application Development

Programming Languages Lab

Data Visualization Tools

Deep Learning Lab

NLP Lab

Database Systems Lab

Skill Development

Full Stack Web Development

Events

LLM Hackathon | GenAI, LLM & RAG

06 January 2026

5-Day Hands-on Workshop on Generative AI, LLM, RAG & Agents

02 January 2026 – 06 January 2026

Industry-Ready Skills Advancement Program

01 December 2025 – 06 December 2025

Event Image

Congratulations to
K. Sreenivasa Reddy (23501A4229)