B.Tech Computer Science Engineering AI Techniques and ML Algorithms Powered by L and T EduTech at Bennett University, Greater Noida Offline Course

The B. Tech (Computer Science Engineering) in AI Techniques and ML Algorithms is a unique, industry-integrated program developed in partnership with L&T EduTech. The program nurtures a vibrant community of industry-ready students and researchers who are passionate about applying artificial intelligence and machine learning to solve real-world challenges. Through state-of-the-art facilities, strong industry collaborations, an advanced curriculum, and hands-on learning experiences, Bennett University equips students with the technical expertise, practical skills, and ethical foundation required to succeed in today’s rapidly evolving landscape. As AI and ML continue to transform industries globally, the B.Tech in AI Techniques and ML Algorithms at Bennett University opens pathways to dynamic careers across technology, healthcare, finance, and beyond—making it a compelling choice for a future-ready, high-impact profession.

The curriculum of B. Tech (Computer Science Engineering) AI Techniques and ML Algorithms is designed in consultation with industry experts from L&T EduTech. The curriculum is NEP compliant and industry oriented. It focuses on state-of-the-art subjects and experiential learning along with capstone projects. The students will explore IT World Essentials, Python for Machine Learning, Deep Learning and GenAI Basics, Hadoop Ecosystem with HDFS and MapReduce among others.

As part of the curriculum, students undertake structured progression of project-based learning. In the fifth semester, the AI Capstone Project, supervised by L&T EduTech, provides industry-aligned, hands-on exposure through real-world problem statements. In the seventh semester, students complete an advanced Capstone Project (5 credits), where they independently select a topic of interest to design and develop an industry-relevant solution. In the eighth semester, students are required to undertake a 12-credit project, choosing from an Industrial Project, an R&D Project, or a Start-up Project, thereby consolidating their technical expertise and readiness for professional practice.