B. Tech in AIML
Duration: 4 Years
Industry Partner
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USP: Pre-Placement via Apprenticeship
Duration: 4 Years
Industry Partner
Enquire Now
USP: Pre-Placement via Apprenticeship
Future-Focused AIML Degree: 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.
Industry-Oriented Curriculum: 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.
High-Growth Career Opportunities: Prepares students for in-demand careers in AI engineering, machine learning, data science, MLOps, robotics, computer vision, NLP and emerging AI-driven domains.
Innovation & National Impact: 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.
Programming & Core Computing Tools:
Python, C/C++, Java, Git, GitHub, Linux, VS Code
Data Analytics & Visualization Tools:
NumPy, Pandas, Matplotlib, Seaborn, Plotly, Power BI, Tableau
Machine Learning & Deep Learning Frameworks:
Scikit-Learn, TensorFlow, Keras, PyTorch
Natural Language Processing & GenAI Tools:
NLTK, SpaCy, HuggingFace Transformers, LangChain, OpenAI APIs
Big Data & Data Engineering Platforms:
Apache Hadoop, Apache Spark, Kafka, Airflow, Databricks
Model Deployment & MLOps Tools:
Flask, FastAPI, Docker, Kubernetes, MLflow, DVC, GitHub Actions
Databases & Data Storage Systems:
MySQL, PostgreSQL, MongoDB, Firebase, Redis
Cloud & AI Infrastructure Platforms:
AWS, Microsoft Azure, Google Cloud Platform
AI Application & Automation Tools:
Streamlit, Gradio, UiPath, Zapier
Testing, Security & Governance Tools:
PyTest, SonarQube, Data Encryption Libraries, AI Explainability Tools
Eligibility
Passed 10+2 examination with Physics/Mathematics/ Chemistry/ Computer Science/Electronics/ Information Technology/ Biology/Informatics Practices/ Biotechnology/ TechnicalVocational 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.
OR
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.
Duration
4 Years (8 Semesters)
Tuition Fees
₹ 75,000 per Semester
*Fees such as Admission, Caution Money,
Examination, Hostel, and Transport fees are extra.
Selection Criteria
Admission will be done on the basis of merit which includes any recognized JEE or JKUEE& PI or as per AICTE guidelines.
1
Strong Computing & Programming Competency
Demonstrate strong knowledge of core computer science, programming, data structures, algorithms and system design.
2
Apply Artificial Intelligence in Real Applications
Design, implement and deploy AI-enabled applications using machine learning, deep learning, NLP and computer vision techniques.
3
Data Analytics & Problem-Solving Skills
Analyze real-world data, build predictive models and generate data-driven insights for intelligent decision-making.
4
AI-Integrated Software Development
Develop secure, scalable and intelligent web, mobile and enterprise applications integrated with AI components.
5
Cloud & MLOps Awareness
Apply cloud platforms, deployment pipelines and MLOps practices for production-ready AI solutions.
6
Ethical, Secure & Responsible AI Practice
Understand AI ethics, bias, privacy and governance principles while designing trustworthy AI systems.
Core Subjects: Data Structures & Algorithms, Database Management Systems, Operating Systems, Computer Networks, Software Engineering, Object Oriented Programming.
Specialized Areas (AI Minor): Artificial Intelligence, Machine Learning, Deep Learning, Data Analytics, Natural Language Processing, Intelligent Systems.
Skill Training: Python Programming, AI & ML Tools, Data Visualization, Model Building, Full-Stack Integration, Mini Projects, Internships & Apprenticeship Training.
Outcome: 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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