Department of Computer Science & Engineering AI

Learning opportunities for the Students:

• Practical Knowledge of AI & ML
  1. Hands-on training in Artificial Intelligence and Machine Learning through a state-of-the-art Intel Lab, accessible to both students and researchers.
• Free Internships
  1. Complimentary internship programs are offered in collaboration with Intel and other leading industries.
• Advanced Learning Classes
  1. Special classes for bright and curious students to explore advanced concepts in AI and ML.
• Technical Grooming
  1. Basic and foundational technical grooming sessions to strengthen core programming and problem-solving skills.
• Industry-Expert-Led Training
  1. Practice sessions and advanced learning modules conducted by industry experts, tailored for high-achieving learners.
• Scholarship Programs
  1. Merit-based student scholarships to encourage and support outstanding performers.
• Dedicated Mentorship
  1. Personalized mentoring for all students to guide academic, technical, and professional growth.
• Project and Internship Support
  1. Assistance in project ideation, development, and execution along with internship support for hands-on industry exposure.
• Earn While Learning Opportunities
  1. On-campus and off-campus opportunities to earn while pursuing studies, fostering financial independence.
• Research Facilities and Mentorship
  1. Access to advanced research facilities and guidance for publishing papers, patents, and innovative projects.
• Global Exposure
  1. Opportunities to participate in international research collaborations, exchange programs, and global internships.
• Hackathons and Competitions
  1. Participation in national and international hackathons, innovation challenges, and AI competitions to hone skills and gain recognition.
• Soft Skills and Career Development
  1. Dedicated classes for communication, leadership, and interview skills to ensure students are industry-ready.
• Workshops and Certifications
  1. Regular workshops on emerging technologies and industry-recognized certifications in collaboration with leading tech firms.
• Entrepreneurship Support
  1. Support for student startups, including incubation centers, mentorship, and funding opportunities for entrepreneurial ventures.
• Community Building
  1. Active participation in AI and ML forums, clubs, and networks to build connections and stay updated on industry trends.
• Quarterly Newsletter
  1. A dedicated newsletter for faculty and students to promote achievements, share updates, and encourage knowledge exchange within the community.
• Annual International Conferences
  1. Hosting yearly international conferences to provide a platform for showcasing and sharing innovative research work.