B.E. Computer Science and Engineering (AI & ML)
Build the skills to design, train, and deploy intelligent systems that learn, reason, and adapt- from machine learning models and deep neural networks to computer vision, natural language processing, and generative AI. The B.E. CSE (AI & ML) programme at AVIT combines strong computing fundamentals with cutting-edge artificial intelligence, data-driven decision-making, and real-world AI engineering.
PROGRAMME OVERVIEW
Engineering Intelligence with Artificial Intelligence & Machine Learning
The B.E. CSE (Artificial Intelligence & Machine Learning) programme at AVIT empowers students to become creators of intelligent technologies that are transforming every industry. The curriculum blends strong foundations in programming, mathematics, and computing with specialized depth in machine learning, deep learning, computer vision, natural language processing, and generative AI- preparing students to build systems that learn, predict, and make decisions.
Through advanced AI laboratories, cloud AI platforms, industry certifications, internships, hackathons, research projects, patent development, startup incubation, and collaborations with leading technology partners, students gain real-world experience and future-ready skills. Supported by expert faculty, modern learning infrastructure, and a vibrant innovation ecosystem, AVIT CSE (AI & ML) prepares graduates for high-impact careers in artificial intelligence, machine learning, data science, automation, research, and entrepreneurship.
WHY CHOOSE B.E. CSE (AI & ML)?
Why Choose B.E. CSE (AI & ML) at AVIT?
Build future-ready AI skills through industry-integrated learning, hands-on machine learning projects, advanced research opportunities, and career-focused education designed for the age of intelligent systems.
AI-Focused Curriculum
Learn machine learning, deep learning, computer vision, natural language processing, and generative AI through an industry-aligned curriculum designed for the intelligent, data-driven economy.
Industry Partnerships & Certifications
Gain hands-on experience through collaborations with leading industry partners, AI and cloud certification programs, internships, expert mentoring, and real-world project-based learning opportunities.
Advanced AI Research & Innovation Labs
Access cutting-edge facilities including the AI Research Lab, Intel & NEC Lab, Apple Authorized Training Centre, IoT Research Lab, and Innovation & Entrepreneurship Centres.
Emerging Technology Specializations
Choose specialized pathways in Artificial Intelligence, Cloud Computing, Quantum Computing, and Applied Deep Learning to align with your career aspirations.
Research, Innovation & Entrepreneurship
Participate in funded AI research projects, patents, hackathons, innovation challenges, startup incubation initiatives, and multidisciplinary technology development programs.
Career-Focused Learning
Prepare for high-demand careers as AI Engineers, Machine Learning Engineers, Generative AI Developers, NLP Engineers, Computer Vision Engineers, AI Research Scientists, and Entrepreneurs.
WHAT YOU'LL STUDY
Your Four-Year Learning Journey
The programme is structured as a progressive learning experience- from computing and mathematical foundations to advanced artificial intelligence systems and real-world applications.
YEAR 1
Computing, Mathematics & AI Foundations
Focus Areas
- C Programming
- Python Programming
- AI in Scientific Research & Education
- Statistical Foundations
- Engineering Mathematics
- Communication Skills
- Design Thinking Foundations
- Emerging Trends in IT Infrastructure
- Idea Lab
Outcome: Develop strong programming, mathematical, and analytical skills essential for AI and ML applications.
YEAR 2
Data, Algorithms & Intelligent Computing
Focus Areas
- Data Structures & Algorithms
- Database Systems
- Computer Networks
- Operating Systems
- Probability & Statistics
- Data Analytics Foundations
Outcome: Gain expertise in data processing, algorithmic thinking, and computational intelligence fundamentals.
YEAR 3
Artificial Intelligence & Machine Learning
Focus Areas
- Machine Learning
- Deep Learning
- Computer Vision
- Natural Language Processing
- Data Mining
- Cloud AI Platforms
- AI Model Development
Outcome: Develop intelligent systems capable of learning, prediction, automation, and decision-making.
YEAR 4
Applied AI Innovation
Focus Areas
- Advanced AI Electives
- Industry Internship
- Research Projects
- Generative AI Applications
- AI Product Development
- Capstone Project
Outcome: Graduate as an AI engineer capable of developing real-world intelligent solutions across industries.
PATHWAY OPTIONS
Honors, Minors & Specializations
HONORS DEGREE
- Artificial Intelligence
SPECIALIZATIONS
- Cloud Computing
- Quantum Computing
MINOR DEGREE OPTIONS
- Applied Deep Learning
CAREER OUTCOMES: AI Engineer | Machine Learning Engineer | Generative AI Developer | NLP Engineer | Computer Vision Engineer | Robotics Engineer | AI Research Scientist
PROGRAMME HIGHLIGHTS
What You'll Achieve with Us
Engineering Graduates will be able to:
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
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.
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.
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.
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.
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Function effectively as an individual, and as a member or leader in diverse / multidisciplinary teams.
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.
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.
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.
Graduating Students of Computer Science and Engineering programme will be able to:
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PSO 1
Demonstrate understanding of the principles and working of the hardware and software aspects of computer systems.
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PSO 2
Understand, analyze and develop computer programs in the areas related to algorithms, system software, multimedia, web design, big data analytics and networking for efficient design of computer-based systems of varying complexity.
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PSO 3
Apply standard Software Engineering practices and strategies in software project development using open-source programming environment to deliver a quality product for business success and to be acquainted with the contemporary issues, latest trends in technological development and thereby innovate new ideas and solutions to existing problems.
Implement fundamental domain knowledge of core courses for developing effective computing solutions by incorporating creativity and logical reasoning.
Graduate will establish effective professionals by solving real world problems using investigative and analytical skills along with the knowledge acquired in the field of Computer Science and Engineering.
Graduate will prove ability to work and communicate effectively as a team member and/or leader to complete the task with minimal resources, meeting deadlines.
Graduate will demonstrate his/her ability to adapt to rapidly changing environment in advanced areas of Computer Science and scale new heights in their profession through lifelong learning.
DR. M. NITHYA PROFESSOR & HOD, DEPARTMENT OF CSE, VMKV ENGINEERING COLLEGE, SALEM
DR. V. AMIRTHALINGAM PROFESSOR, VMKV ENGINEERING COLLEGE, SALEM
DR. S. SENTHILKUMAR PROFESSOR, VMKV ENGINEERING COLLEGE, SALEM
DR. S. BALAKRISHNAN, PROFESSOR & HOD, ARUPADAI VEEDU INSTITUTE OF TECHNOLOGY, PAIYANOOR
DR. MUTHUKUMARAN M PROFESSOR, ARUPADAI VEEDU INSTITUTE OF TECHNOLOGY, PAIYANOOR
DR. K. RAMU PROFESSOR, ARUPADAI VEEDU INSTITUTE OF TECHNOLOGY, PAIYANOOR
DR. M. RAJESH ASSOCIATE PROFESSOR DEPARTMENT OF CSE, ARUPADAI VEEDU INSTITUTE OF TECHNOLOGY, PAIYANOOR
DR. S. RAJANARAYANAN ASSOCIATE PROFESSOR, DEPARTMENT OF CSE, VMKV ENGINEERING COLLEGE, SALEM
DR. R. SHOBANA ASSISTANT PROFESSOR (GRADE II), DEPARTMENT OF CSE, AARUPADAI VEEDU INSTITUTE OF TECHNOLOGY, PAIYANOOR
MR. S. LOGANATHAN ASSISTANT PROFESSOR DEPARTMENT OF CSE, VMKV ENGINEERING COLLEGE, SALEM
DR. N. RADHIKA PROFESSOR, DEPARTMENT OF CSE, AMRITA SCHOOL OF COMPUTING, AMRITA VISHWA VIDYAPEETHAM COIMBATORE - 641 112
DR. USHA BATRA PROFESSOR, DEPARTMENT OF CSE, DEAN CORPORATE RELATIONS AND ENGAGEMENT SHRI VISHWAKARMA SKILL UNIVERSITY, HARYANA (STATE GOVERNMENT UNIVERSITY)
CAREER OPPORTUNITIES
Where Will Your Degree Take You?
From Artificial Intelligence and Machine Learning to Generative AI, Computer Vision, Natural Language Processing, Robotics, Research, and Entrepreneurship, an AVIT CSE (AI & ML) degree opens pathways to some of the world's fastest-growing and highest-paying careers.
AI Engineer
Design, build, and deploy end-to-end artificial intelligence systems and intelligent applications that power automation and decision-making across industries.
Machine Learning Engineer
Build, train, and optimize predictive machine learning models and scalable ML pipelines that turn data into intelligent, production-ready solutions.
Generative AI Developer
Develop applications powered by large language models, generative models, and foundation models for content creation, automation, and intelligent assistants.
NLP & Computer Vision Engineer
Build systems that understand language and interpret visual data- from chatbots and translation to image recognition, detection, and video analytics.
Robotics Engineer
Design intelligent autonomous systems and robots that perceive, learn, and interact with the physical world using AI and machine learning.
AI Research Scientist
Drive innovation in advanced AI, deep learning architectures, intelligent systems, research, product development, and technology startups.
LABORATORIES & FACILITIES
Learn in Industry-Grade Labs
IoT Research Lab
i5 Processor systems
AI Research Lab
i5 Processor systems
Apple Authorised Training Centre
Apple-certified environment
Networking Lab
Mixed fleet i5, i3, Dual Core
INTERNSHIPS
Build Your Future with Industry-Integrated Internship Programs
At AVIT, internships connect classroom learning with real-world industry exposure.
Assured Internship via VEmerge+
Assured Internship & Placement, 7+7 Certifications, Capstone Project
HCLTech Industry Project cum Internship
Industry-ready project, NCVET certificate, Placement Assistance
XTIC XR Technology Internship
Internship & Placement Support, AR/VR/XR projects, Capstone Project
UC Berkeley / Intel Fice
UC Berkeley Micro Accelerator Program
Real-world problems, group projects, enhanced technical skills
RELATED PROGRAMMES
Explore Other Academic Opportunities
Beyond the B.E. CSE (AI & ML) programme, AVIT offers the core CSE programme and specialised pathways in Data Science and Cyber Security- each designed for high-demand technology careers.
FREQUENTLY ASKED QUESTIONS
Common Questions About B.E. CSE (AI & ML)
AVIT CSE (AI & ML) combines an industry-aligned curriculum, future-focused AI specializations, advanced AI research labs, internships, certifications, research opportunities, hackathons, and strong placement support to prepare students for successful careers in artificial intelligence and machine learning.
Students master machine learning, deep learning, computer vision, natural language processing, data mining, generative AI, and cloud AI platforms, along with strong foundations in programming, mathematics, and data engineering.
Students benefit from collaborations with Intel, NEC, HCLTech, PRB Consulting Pvt. Ltd., and XTIC (IIT Madras), along with AI and cloud certifications, internships, industry projects, expert talks, and hands-on learning experiences.
Graduates can pursue careers as AI Engineers, Machine Learning Engineers, Generative AI Developers, NLP Engineers, Computer Vision Engineers, Robotics Engineers, AI Research Scientists, and Entrepreneurs.
Yes. Students actively participate in internships, national and international hackathons, coding competitions, AI research projects, patent development, innovation challenges, and startup incubation programs.
The department provides access to the AI Research Lab, Intel Unnati & NEC Lab, Apple Authorized Training Centre, IoT Lab, Networking Lab, cloud AI platforms, advanced computing facilities, and innovation-focused learning spaces.
Yes. Students can enhance their academic profile through an Honors Degree in Artificial Intelligence, specializations in Cloud Computing and Quantum Computing, and a Minor in Applied Deep Learning based on curriculum regulations.
AVIT offers placement training, aptitude preparation, coding practice, mock interviews, industry mentoring, internships, and recruitment opportunities with leading product and service-based companies.
Absolutely. The programme prepares students for higher education, AI research careers, postgraduate studies, and doctoral programmes in India and abroad.
Students can apply through the AVIT admissions portal or contact the admissions office for guidance on eligibility, application procedures, scholarships, and programme selection.
ADMISSIONS OPEN
Ready to Build Intelligent Systems of the Future?
Artificial intelligence is reshaping every industry- and the demand for skilled AI and machine learning engineers has never been greater. The B.E. CSE (AI & ML) programme at AVIT provides the foundation, industry exposure, and technical depth you need to build a lasting career in artificial intelligence.