Bachelor of Technology –
CSE (Al &ML)
About CSE (AI & ML)
The Computer Science and Engineering (Al &ML) offers a four-year under-graduate B.Tech course in CSE(Artificial Intelligence and Machine Learning) which aims to develop a strong foundation by using the principles and technologies that consist of many facets of Artificial Intelligence including logic, knowledge representation, probabilistic models, and machine learning. This course is best suited for students seeking to build world-class expertise in Artificial Intelligence and Machine Learning and emerging technologies that help them stand out from the crowd and grow careers in the upcoming technological era.
The highlights of Computer Science & Engineering (Al & ML) Branch at Krishna Institute of Technology are:
- International Collaborations & Certifications:
Krishna Institute of Technology proudly stands as a partner in Uttar Pradesh for the prestigious Intel Unnati Data-Centric Labs in Emerging Technologies and IBM SkillsBuild Program.
This collaboration brings world-class infrastructure, industry-driven learning, and cutting-edge AI innovation directly to our students, making the campus a hub of future technologies and digital transformation. - Specialized Curriculum:
Deep focus on core areas such as Machine Learning, Deep Learning, Neural Networks, Computer Vision, Natural Language Processing, and Data Science. - Hands-On Learning:
Real-time projects, coding laboratories, and practical sessions using tools such as Python, TensorFlow, Keras, and Scikit-learn. - Expert Faculty and Mentorship:
Learn from experienced professors, certified AI/ML trainers, and mentors with real-world project exposure. - Research & Innovation Focus:
Encouragement for research papers, patents, and project-based learning in the field of Al and automation. - Strong Placement Network:
Dedicated placement cell with collaborations with top IT companies,Al startups, and R&D organizations offering job and internship opportunities. - Center of Excellence in AI/ML:
Access to dedicated laboratories for Al/ML research, hands-on workshops, and certification programs in emerging technologies.
Eligibility Criteria
Eligibility (GEN/OBC/Min.)
Eligibility Criteria (SC/ST)
Compulsory Subjects
Optional Subjects
Level
Passed 10+2 without grace in
any subject.
PCM stream≥45%
Passed 10+2 without grace
in any subject.
PCM stream≥40%
Physics & Maths
Chemistry
UG
Eligibility Criteria for Lateral Entry
Eligibility (GEN/OBC/Min.)
Eligibility Criteria (SC/ST)
Compulsory Subjects
Optional Subjects
Level
Passed 3 year Engg. Diploma in any branch of Engg. (Except Agriculture, Pharmacy or Architecture) or B.Sc. Degree(in Maths) with minimum 45% marks in aggregate
Passed 3 year Engg. Diploma in any branch of Engg. (Except Agriculture, Pharmacy or Architecture) or B.Sc. Degree(in Maths) with minimum 40% marks in aggregate
Physics & Maths
Chemistry
UG
Trainings Offered
C Programming
C++ Programming
Java Programming
Python Programming
Oracle
Django Framework
Career & Job Opportunities
Machine Learning Engineer
Build intelligent systems for sectors such as healthcare, finance, e-commerce, and manufacturing.
Deep Learning Engineer
Work on advanced neural networks and applications such as fecial recognition, autonomous vehicles, and medical diagnostics.
NLP Engineer
Develop language models and voice assistants used in applications like chatbots, translation and sentiment analysis
Startupsand Entrepreneurship
Launch Al-driven solutions or tech startups with support from KIOT’s innovation and incubation ecosystem.
Government & Public Sector Roles
Opportunities in Al policy planning, smart city projects, and Al-based public welfare systems via DRDO, ISRO, NITI Aayog,etc.
What Students Say
At Krishna Group of Institutions, technical training programs are designed to build industry-relevant skills and practical expertise.The structured curriculum, hands-on learning, and continuous mentorship create a strong professional foundation.Students are prepared with technical and professional competencies to meet real-world challenges confidently.
Prashant Katiyar
Aligned with the academic excellence of KGI, learning programs are designed to build industry-relevant skills. The programs focus on developing practical expertise through hands-on learning. A structured curriculum ensures strong technical understanding and career growth. Continuous mentorship helps students build a solid professional foundation.
Ankit Pal
At Krishna Group of Institutions, IBM as a premium training partner delivers industry-aligned learning. The program emphasizes hands-on training, practical skills, and real-world exposure. Students gain technical and professional competencies for future career success.