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🎓 Department of CSE(Artificial Intelligence & Machine Learning)  |  NAAC A+ Accredited  |  Prasad V. Potluri Siddhartha Institute of Technology
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Faculty Achievements

Student Excellence

Student Achievements

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.

Our Vision

To be a centre of excellence in Artificial Intelligence education and research, nurturing ethical, adaptable, and industry-ready graduates with multidisciplinary competencies for innovation, entrepreneurship, and sustainable societal impact.

Our Mission

To provide quality Artificial Intelligence education and research through an outcome-based curriculum, innovative pedagogy, and industry collaboration, fostering ethical, multidisciplinary, and industry-ready graduates capable of developing sustainable AI solutions for societal challenges.

Program Educational Outcomes
Program Outcomes
Program Specific Outcomes
Department Updates

Notifications

Program Overview

About B.Tech CSE (AI & ML)

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 AI and 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.

Top Industries with High Demand for AI/ML Experts
01Technology

Companies such as Google, Amazon, Apple, Netflix and Facebook have large teams of AI/ML experts working on various applications.

02Healthcare

Healthcare organizations use AI/ML to improve care delivery and conduct clinical research, including diagnostic tools and personalized medicine.

03Finance

Banks and investment firms use AI/ML techniques for risk management, fraud detection, and algorithmic trading.

04Retail & E-commerce

AI/ML improves customer service, personalizes recommendations, and optimizes supply chain management.

05Automotive & Transportation

AI/ML is used to develop autonomous vehicles and optimize logistics and fleet management.

06Manufacturing & Logistics

AI/ML enables optimization, predictive maintenance and quality control in industrial operations.

07Media & Advertising

AI/ML helps analyze and target audiences, personalize content and optimize ad placement.

08Energy & Utilities

AI/ML optimizes operations such as production and distribution management in energy sectors.

09Cyber Security

AI/ML-powered solutions protect against data breaches, cyber-attacks, and data theft.

10Government & Public Sector

Governments use AI/ML to improve public services, manage natural resources, and protect national security.

Program Outcomes

Program Outcomes (POs)

The B.Tech CSE (Data Science) program is designed to ensure graduates attain the following 11 Program Outcomes aligned with NBA/AICTE standards, equipping them with the knowledge, skills, and attitudes required to excel as computing professionals.

Infrastructure

Facilities

World-class labs equipped with cutting-edge hardware and software for immersive learning.

Application Development Lab
Application Development Lab

Design and develop modern applications. Focus on full-stack development

Programming Languages Lab
Programming Languages Lab

Master various programming paradigms. Enhance coding efficiency.

Lab
Data Visualization Tools

Turn data into insights with visuals. Learn tools like Tableau and Power BI.

Deep Learning Lab
Deep Learning Lab

Focus on neural networks and AI. Work on real-world AI projects.

NLP Lab
NLP Lab

Explore natural language processing. Build intelligent language models

Database Systems Lab
Database Systems Lab

Learn database design and management. Master SQL and NoSQL systems.

Skill Development
Skill Development

Collaborate on innovative team projects. Enhance problem-solving skills.

Full Stack Web Development
Full Stack Web Development

Build responsive websites and web applications using modern technologies.

Curriculum

Academics

Syllabus
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PVP20 PVP23
Regulations
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Academic Calendar
Semester academic schedule
Timetables
Semester-wise class schedules
BOS
BOS Members BOS Minutes
Knowledge Creation

Research & Publications

Journals

IEEE, Elsevier, Springer Q1/Q2 indexed papers in AI, ML, and Data Science.

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Conferences

Presentations at NeurIPS, ICML, CVPR and national ICCCNT, ICDCN conferences.

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Book Chapters

Contributed chapters in internationally published volumes by Springer, CRC Press.

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Our People

Faculty

Meet the dedicated team of educators and staff driving excellence in AI & ML education.

Teaching Staff

Meet our expert faculty — PhD holders and industry veterans shaping the next generation of AI/ML engineers.

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Non-Teaching Staff

The backbone of our department — lab technicians, administrative staff and support personnel who keep everything running.

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FDPs

Faculty Development Programmes attended and organised — workshops, STTP, and short courses for continuous upskilling.

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Student Resources

Student Corner

Question Papers
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PVP20 PVP23
Mentoring
Mentoring Details
Internships
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PVP20 PVP23
Certifications
NPTEL, Google,CISCO courses
Result Analysis
Semster-wise result analysis for all regulations
Clubs
AI Club, Coding Club,Hackathon Club