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The Department of B.Tech CSE with Artficial Intelligence (AI) & Machine Learning (ML) at PCTE Institute of Engineering, Ludhiana was established in 2024 to offer academic programs and train students with a holistic understanding of the theory and practice of Artificial Intelligence, Machine Learning as well as to create a complete ecosystem for both academic practice and research in AI.
The aim of the department is to “Enable and facilitate students to become leaders in the AI industry and academia nationally and internationally; as well as to meet the pressing demands of the country in the various subareas and applications of AI.
Core Problems of Research
Deep Learning Architecture & Training
Generative AI
Optimization of Machine Learning
Bayesian Learning
Reinforcement Learning & Control Theory
Algorithms for Massive Datasets
Neural Differential Equations
Causal Inference & Learning
Controllable Text Generation
Conversational AI
Multilinguality (Natural Language Processing)
Temporal Textual Data
  • Duration: 4 Years
  • Total Seats: 60
  • Fee: 48,700/-per sem
  • Eligibility: 10+2 with Physics and Mathematics as compulsory subject along with one of the Chemistry/Biotechnology/Biology/Technical Vocational subject.
  • B.Tech. – Lateral Entry:
  • Passed Diploma in any stream of engineering/technology with at least 45% marks (40% in case of reserved category).
  • The Institute features a perfect blend of four basic ingredients of contemporary education system viz.
  • Infrastructure, Faculty, Management & Academic rigour.
  • Uncompromising Discipline, Punctuality and Regularity.
  • Tireless efforts towards Holistic and Integrated development.
  • Innovative Pedagogy that aims at developing drive to Create, Lead and Excel.
  • The Pedagogy is designed to be fully participative.
  • Rigorous academic delivery, practical orientation, constant industry interaction, seminars & workshops give students a pragmatic edge.
  • The teaching learning process is framed with a Global Perspective and is facilitated by the knowledgeable, experienced & highly qualified faculty.
  • Teaching methodology is ‘learning centric’ instead of ‘teaching centric’.
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