B.Tech.(CSE- Generative Artificial Intelligence) with HCL GUVI Collaboration

Program Details

School Name:	School of Engineering
Programe:	B.Tech.(CSE- Generative Artificial Intelligence) with HCL GUVI Collaboration
Course Length:	4 years / 3 years (Lateral Entry)
Session Start Date:	August
Course Type:	Full Time
Eligibility Criteria:	Eligibility: A minimum aggregate of 50% or equivalent in 10+2. Compulsory Subjects: Physics & Mathematics; and anyone of the following: Chemistry, Computer Science. Minimum passing mark is essential in each of the subject. Relaxation in qualification and reservation is as per UGC and State Govt. norms.
Programme Fee:	Rs. 85,250/- per Semester
Syllabus	Click here to Download

Program Details/FAQs

B.Tech in Generative Artificial Intelligence (Gen AI) at the School of Engineering, BBD University, Lucknow, is a four-year full-time undergraduate program that combines strong foundations in computer science with specialized training in generative AI technologies. The program focuses on building intelligent systems capable of generating text, images, code, and data-driven solutions using modern AI techniques. Delivered in collaboration with HCL GUVI, the curriculum offers industry-aligned learning through hands-on projects, real-world tools, and practical workflows. Supported by modern infrastructure and an innovation-driven campus environment, the program emphasizes ethical AI, problem-solving, and skill development to prepare students for emerging roles in the global AI industry.

Industry-Aligned Curriculum: Specialized courses in Generative AI, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Data Science, and Cloud Computing.
HCL GUVI Collaboration: Industry-supported training, certifications, hands-on projects, and skill development aligned with real-world AI requirements.
Hands-On Learning: Practical labs, live projects, hackathons, coding competitions, and AI application development.
Experienced Faculty: Learn from experienced academicians and industry-trained professionals in AI and computer science.
Strong Placement Support: Career opportunities with leading organizations such as HCL, TCS, Infosys, Capgemini, and other technology-driven companies.
Innovation & Research Exposure: Access to AI research initiatives, incubation support, and student-led innovation activities.
Global Career Readiness: Preparation for higher studies, research, and technology careers in India and abroad.

The School of Engineering at Babu Banarasi Das University (BBDU) combines traditional and innovative teaching methods to provide a thorough education in Computer Science Engineering. The curriculum includes lectures, coding labs, workshops, case studies, and industry projects to ensure hands-on learning. Project-based learning encourages creative problem-solving and real-world application. Assessments include continuous evaluation, coding assignments, presentations, written exams, and viva voce. Emphasizing research, experiential learning, and industry partnerships, BBDU's Internal Quality Assurance Cell (IQAC) ensures credible evaluations and the adoption of modern teaching methods for optimal student outcomes.

The BBDU School of Engineering offers comprehensive support and resources to enhance learning and professional growth for students.

Library and E-Learning: Access to a central library and digital platforms providing extensive research materials, coding resources, and academic support.
Health and Wellness Services: Medical facilities, counselling, and wellness programs to promote students' physical and mental well-being.
Career Guidance and Placements: The Career Counselling Division and Training & Placement Cell connect students with industry partners for internships and job placements.
Incubation and Innovation Centres: Encouraging entrepreneurship and cutting-edge research in AI and Blockchain through dedicated incubation hubs.
Student Communities and Extracurricular Activities: Various clubs and organizations foster leadership, teamwork, and social engagement.
Campus Facilities and Technology: Wi-Fi-enabled campuses, advanced computer labs, and innovation centres equipped with the latest software and hardware for AI, blockchain development, and research.

These resources support CSE-Generative AI students at BBDU in achieving academic excellence and professional success while maintaining a balanced student life.

Student life at BBDU's School of Engineering is vibrant and engaging, offering a blend of academic rigour and extracurricular activities. The university provides a dynamic campus environment with various student communities, clubs, and organisations that encourage participation in cultural, technical, and sports activities. BBDU hosts numerous events, such as UTKARSH, its annual cultural fest, along with academic alliances and partnerships that enhance students' learning experiences. The campus also features BBD FM Radio, which serves as a platform for students to express their creativity. Additionally, students can participate in NCC (National Cadet Corps) and NSS (National Service Scheme), fostering discipline, leadership, and social responsibility. The university supports student welfare through its Grievances Redressal Committee, Internal Complaints Committee, and Anti-Ragging Committee, ensuring a safe and supportive environment. A well-equipped central library and e-learning resources further aid students in their academic pursuits.

Basic knowledge of Physics, Mathematics and Computers.

Generative AI Engineer
Machine Learning Engineer
AI Software Developer
Data Scientist / Data Analyst
NLP Engineer
Computer Vision Engineer
AI Research Assistant

PO1	Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
PO2	Problem Analysis: Identify, formulate, review literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural science and engineering sciences.
PO3	Design / Development of Solutions: 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.
PO4	Conduct Investigations of Complex Problems: 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.
PO5	Modern Tool Usage: 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.
PO6	The Engineer and Society: 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.
PO7	Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental context and demonstrate the knowledge of, and need for sustainable development.
PO8	Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9	Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary settings.
PO10	Communication: Communicate effectively with the engineering community and with society at large. Be able to comprehend and write effective reports documentation. Make effective presentations, and give and receive clear instructions.
PO11	Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply these to one's own work, as a member and leader in a team. Manage projects in multidisciplinary environments.
PO12	Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PSO1	Ability to apply core concepts of computer science and artificial intelligence to develop generative AI solutions using machine learning, deep learning, and data-driven approaches aligned with industry needs.
PSO2	Ability to use modern programming languages, open-source AI tools, and cloud platforms to design and deploy ethical, scalable generative AI applications, supported by industry-oriented training.