Artificial Intelligence (AI) has
become an integral part of technology in our daily lives, driving to office,
searching for a restaurant, getting news updates, and recommendations on social
media are all using AI. With increase in usage, there is a significant
requirement of researchers who can understand AI and build AI technologies.
This program will provide students an opportunity to learn both foundational
and experimental components of AI and Machine Learning. A student completing
this program will be able to undertake industry careers involving innovation
and problem solving using Artificial Intelligence (AI) and Machine Learning
(ML) technologies and research careers in AI, ML, and, in general, Computer
Science areas. Along with courses that provide specialization in AI, students
will also have option to explore some applied domains such as computer vision,
natural language processing, robotics, and software analysis.
Why Study M.Tech in AI?
Students who complete this course are
quickly hired as Game Programmers, Software Developers, Robotics Engineers, etc. Students may work in various fields, including
Artificial Intelligence organizations, robotics firms, and the AI Coordinating
Committee.
Scope of the Course:
Mostly it is considered a cakewalk for the
graduates to get placed as an M.Tech AI graduate in any firm. One of the
reasons is that the aspirants can be regarded as professionals after the M.Tech
AI course because of the course structure, thus making them capable of
having a good job scope and skills. In fact, at times, most of the graduates
educate themselves more, which makes them more capable of working. Some of
the best jobs for M.Tech AI graduates freshers are:
Top Companies
The companies offering MTech AI Graduate jobs
provide a minimum INR 5 to 15 LPA for freshers. However, it changes with
experience, skills, and capabilities to work.
Syllabus of the Course:
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Semester I |
Semester II |
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Graph Theory |
Robot Programming |
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Electronics System Design |
Electrical Actuators and
Drives |
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Introduction to Robotics |
Image Processing &
Machine Vision |
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Machine and Mechanics |
Robotics Based Industrial
Automation |
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Embedded Systems |
Robotics Control System |
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Manufacturing System
Simulation |
Principles of Computer
Integrated Manufacturing |
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M.Tech AI Second Year
Syllabus |
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Semester III |
Semester IV |
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Artificial Intelligence
and Neural Network |
Comp Numerical Control
Machines & Adaptive Control |
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System modelling and
identification |
Manufacturing Systems
Automation |
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Nano Robotics |
Robot Economics |
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Robot Vision |
Modern Material Handling
Systems |
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Robotic Simulation |
Group Technology and
Cellular Manufacturing |
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PLC and Data Acquisition
system |
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Summer Internship |
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Eligibility:
Also, go through the revised
Eligibility Criteria for appearing in GATE
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