Duration: 4 Years
Industry Partner
Program Structure
USP: Pre-Placement through OJT/Work Integration/Internship Linked with Placement Opportunities
A specialized 4-year engineering program dedicated to Artificial Intelligence and Machine Learning, designed to develop core computing skills along with advanced AI, deep learning, data science and intelligent automation technologies.
Structured as per AICTE, UGC and NEP guidelines with hands-on AI labs, real-time projects, cloud deployment training, certifications and internships to make students industry-ready from day one.
Prepares students for in-demand careers in AI engineering, machine learning, data science, MLOps, robotics, computer vision, NLP and emerging AI-driven domains.
Enables learners to design intelligent systems and AI solutions for healthcare, agriculture, smart cities, fintech, governance and digital public infrastructure aligned with India’s Vision-2038.
Passed 10+2 examination with Physics / Mathematics / Chemistry / Computer Science / Electronics / Information Technology / Biology / Informatics Practices / Biotechnology / Technical Vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship. Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together. Whereas Physics & Mathematics are mandatory courses at 10+2 Level.
Passed D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare Level playing field and desired learning outcomes of the Program.) Whereas Physics & Mathematics are mandatory courses at 10+2 Level.
Demonstrate strong knowledge of core computer science, programming, data structures, algorithms and system design.
Design, implement and deploy AI-enabled applications using machine learning, deep learning, NLP and computer vision techniques.
Analyze real-world data, build predictive models and generate data-driven insights for intelligent decision-making.
Develop secure, scalable and intelligent web, mobile and enterprise applications integrated with AI components.
Apply cloud platforms, deployment pipelines and MLOps practices for production-ready AI solutions.
Understand AI ethics, bias, privacy and governance principles while designing trustworthy AI systems.
Data Structures & Algorithms, Database Management Systems, Operating Systems, Computer Networks, Software Engineering, Object Oriented Programming.
Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, Natural Language Processing, Intelligent Systems.
Python Programming, AI & ML Tools, Data Visualization, Model Building, Full-Stack Integration, Mini Projects, Internships & Apprenticeship Training.
Software Engineer with AI Skills, AI Engineer, Machine Learning Engineer, Data Analyst, Automation Engineer, and strong pathways to higher studies, research and global certifications.
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Graduates of this program can pursue high-growth roles such as:
