B.Tech (CSE) with Specialization in AI & ML

Artificial Intelligence (AI) is a branch of Computer Science that focuses on creating machines to perform with a high level of understanding and mimic the human capabilities with computable intelligence. This domain will have more number of jobs as compared with any other plain B.Tech programme in CSE alone. Our institute took so many efforts to launch a specialization in AI & ML to provide our students preparedness to meet the demand of Engineers with AI & ML knowledge and skills

Students have to complete 20 additional credits by undergoing following courses/projects that are offered with practice-oriented learning as part of the specialization in AI & ML:

• Deep Learning
• Reinforcement Learning
• Industry Applications of AI & ML
• Semester Long Project

The semester-long project carries 8 credits and the work should be carried out in industries that engage in AI & ML. Thus in total, a student opting for AI & ML specialization should spend one semester in an industry-based project to earn a B.Tech. Degree with a Specialization in AI & ML.

M.Tech in Artificial Intelligence and Machine Learning

The primary areas of Artificial Intelligence include Knowledge Representation, Reasoning, Problem-Solving Capabilities, Cognition, Self - Learning, Planning, and Execution. AI technology is evolving very quickly in the past with significant implications on the world's economy. With the advent of industry 4.0 standards, the demand for AI-based solutions is also increasing and it is very essential to build the futuristic solutions of AI. In order to develop an AI-based infrastructure, this postgraduate programme will provide enough avenues to strengthen our motto of the industry readiness of our student community.

The following courses are offered at the post-graduation level as part of the M.Tech. in AI & ML Programme.

• Artificial Intelligence and Knowledge Representation
• Machine Learning
• Advanced Data Structures and Algorithms
• Mathematical Foundations
• Probability and Optimization
• Data Analytics and Visualization
• Deep Learning
• Reinforcement Learning
• Computer Vision
• Natural Language Processing
• Information Retrieval
• Data Mining
• Robotics
• Probabilistic Graphical Models
• Big Data Analytics
• Reinforcement Learning
• Advanced Optimization