Which is the best among LPU and CGC in terms of placements?

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.

For admission to Lovely Professional University (LPU), applicants generally need the following documents: 10th and 12th marksheets/certificates,  transfer or migration certificate,  Aadhaar card or valid ID proof,  passport-size photographs, and category or caste certificate  (if applicable). For programs requiring entrance exams,  LPUNEST/JEE/NEET/CLAT scores must be submitted. For postgraduate admissions,  graduation marksheets,  degree certificates, and character certificate are required. International students may need passport copies,  visa, and equivalence certificates. Additional documents like gap certificates or medical certificates may be needed depending on the course. Always refer to LPU's official guidelines for specific programme requirements.