LPU - Lovely Professional University

Lovely Professional University (LPU) offers a wide range of B.Tech programs across disciplines like Computer Science, Mechanical, Civil, Electrical, Electronics, Biotechnology, and more. The curriculum is industry-oriented, combining strong theoretical foundations with hands-on practical training. Students benefit from modern laboratories, live projects, internships, hackathons, and exposure to emerging technologies like AI, ML, Data Science, and Robotics. LPU has collaborations with global companies and universities, supporting student exchange and research. Its dedicated placement cell attracts top recruiters, offering competitive salary packages. Overall, B.Tech at LPU focuses on innovation, skill development, and career readiness.

Lovely Professional University (LPU) offers a well-structured B.Tech in Agricultural Engineering that combines core engineering principles with modern agricultural technology. The programme covers areas like farm machinery, irrigation systems, soil and water conservation, renewable energy, and post-harvest technology. LPU provides practical exposure through well-equipped labs, field training, and industry-oriented projects. Students benefit from internships, research opportunities, and industry collaborations in agri-tech and rural development sectors. The university's strong placement support, extensive campus infrastructure, and focus on innovation make LPU a good choice for students pursuing a career in agricultural engineering.

In the early semesters, students study core computer-science fundamentals — including programming (Python, sometimes Java/C/C+), data structures and algorithms, databases, operating systems, computer networks, and other building-block courses like mathematics (linear algebra, probability and statistics), which are essential for ML. 

As the course progresses, the AI/ML-specific modules come into play. These include Machine Learning (both supervised and unsupervised learning), Deep Learning, Natural Language Processing (NLP), Computer Vision, Expert / Intelligent Systems, and AI applications — equipping students to work on speech processing, image recognition, NLP tasks, and building intelligent systems. 

Beyond theory, LPU emphasizes practical learning: students work in AI labs, handle real-world datasets, build models, and do projects. The syllabus also offers electives and specialisation opportunities, internships, and “industry-interface” courses — ensuring exposure to real-world problems, not only classroom exercises. 

If you like — I can pull up a full semester-by-semester syllabus outline (with subject names) for LPU's B.Tech AI & ML, so you know exactly what to expect each year.