Duration: 4 Years
Industry Partner
Program Structure
USP: 100% Job Opportunity
B.Tech CSE (Cloud Computing & AI) is a NEP-aligned 4-year engineering programme that combines core computer science with advanced cloud technologies and artificial intelligence.
The programme develops strong technical foundations in computing, programming, cloud architecture, machine learning, DevOps, and automation.
Students learn to design, deploy, and manage scalable cloud systems while building intelligent AI-powered applications for real-world industries.
The curriculum integrates hands-on labs, cloud deployments, ML model building, container technologies, and industry-oriented projects for practical learning.
Graduates become industry-ready cloud engineers, AI developers, DevOps professionals, and automation specialists equipped for high-growth technology roles.
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.
Develop deep knowledge of cloud architecture, virtualization, AI models, ML algorithms, and scalable computing practices for real-world solutions.
Gain expertise in AWS, Azure, GCP, Docker, Kubernetes, Jenkins, CI/CD, Python, TensorFlow, and automation tools used in IT ecosystems.
Understand cloud security, AI ethics, identity management, compliance, data protection, and responsible use of intelligent technologies.
Strengthen problem-solving, team management, and innovation skills needed to lead projects and drive impactful technical solutions.
Learn how AI and cloud technologies enable digital transformation, new product creation, automation, and efficient business operations.
Apply cloud and AI knowledge to build inclusive, scalable, and intelligent solutions that address societal, economic, and environmental challenges.
Computer Science Engineering, DSA, Operating Systems, DBMS, Computer Networks, OOP, Software Engineering, Algorithms.
Cloud Architecture (AWS, Azure, GCP), Virtualization, DevOps (Docker, Kubernetes, CI/CD), Machine Learning, Deep Learning, NLP, AI Automation, Serverless Computing.
Cloud Deployments, DevOps Pipelines, ML Model Building, Containerization, Git & GitHub, Microservices, API Engineering, Cloud Security, Industry Projects & Internships.
Industry-ready Cloud Engineers, AI/ML Engineers, DevOps Engineers, Automation Engineers, and Full-Stack Cloud Developers with strong hands-on experience.
Graduates of this program can pursue high-growth roles such as:
