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M.Tech in Artificial Intelligence Syllabus - Faculty Of Engineering And Technology, DMIMSU - [FEAT DMIMSU], Wardha

  • Years 2 Years
  • Type Course Post Graduate
  • stream Engineering
  • Delivery Mode
Written By universitykart team | Last updated date Jul, 07, 2024
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The Master of Technology (M.Tech.) Artificial Intelligence syllabus at Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU], Wardha is designed to provide overall knowledge to the students with a strong foundation. Master of Technology (M.Tech.) Artificial Intelligence faculty at Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU] specially focus on in-depth learning to relevant subjects. At first semester syllabus of Master of Technology (M.Tech.) Artificial Intelligence at Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU], students learn the basics of programme. A strong foundation is very important for comprehensive learning. Master of Technology (M.Tech.) Artificial Intelligence syllabus at Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU], Wardha maintains a balance between theoretical knowledge and practical knowledge.

Master of Technology (M.Tech.) Artificial Intelligence first year students at Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU] are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU], Wardha also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Master of Technology (M.Tech.) Artificial Intelligence syllabus at Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU], Wardha is also frequently updated to give industry relevant training and knowledge to students. Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU] strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU] enable Master of Technology (M.Tech.) Artificial Intelligence students to apply knowledge and skills in a controlled environment and get required experience.

According to syllabus of Master of Technology (M.Tech.) Artificial Intelligence progress, students learn advanced topics and complex concepts. The Master of Technology (M.Tech.) Artificial Intelligence curriculum at Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU], Wardha mainly focuses on analytical and critical thinking. As the Master of Technology (M.Tech.) Artificial Intelligence course unfolds, students develop several important skills that increases their employability. As per syllabus of Master of Technology (M.Tech.) Artificial Intelligence at Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU] also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.

Master of Technology (M.Tech.) Artificial Intelligence curriculum at Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU] includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Master of Technology (M.Tech.) Artificial Intelligence syllabus at Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU] aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU]

  1. Workshops and Seminars - Regular sessions with industry experts help Master of Technology (M.Tech.) Artificial Intelligence students at Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU] to stay updated with current trends.
  2. Group Projects - Collaborative projects according to Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU] syllabus develop teamwork and problem-solving skills.
  3. Case Studies - Master of Technology (M.Tech.) Artificial Intelligence syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
  4. Extracurricular Activities - Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU] offers several activities like sports, clubs, societies, etc. to encourage overall development.

Note: Given below syllabus is based on the available web sources. Please verify with the Faculty Of Engineering And TechnologyDMIMSU - [FEAT DMIMSU], Wardha for latest Master of Technology (M.Tech.) Artificial Intelligence curriculum.

Syllabus and subjects in M.Tech Artificial Intelligence

A Master of Technology (M.Tech) program in Artificial Intelligence (AI) typically offers an advanced curriculum that covers a wide range of AI topics. The Master of Technology in Artificial Intelligence syllabus includes core courses in machine learning, deep learning, natural language processing, computer vision, and robotics. Students also explore advanced AI topics like reinforcement learning, generative adversarial networks (GANs), and ethical AI. Additionally, the program often includes courses in mathematical foundations, statistics, and programming languages commonly used in AI, as well as elective courses that allow students to specialize in areas such as AI for healthcare, autonomous systems, or AI ethics. Practical experience is gained through hands-on projects, research, and often a mandatory thesis or dissertation. Graduates of this program are well-prepared for careers as AI researchers, machine learning engineers, AI consultants, or AI product developers, contributing to the advancement of AI technologies and their applications in various industries and domains.


S.No 1st Year Syllabus of M.Tech. in Artificial Intelligence
1Graph Theory
2Electronics System Design
3Introduction to Robotics
4Machine and Mechanics
5Embedded Systems
6Manufacturing System Simulation
7Robot Programming
9Electrical Actuators and Drives
10Image Processing & Machine Vision
11Robotics Based Industrial Automation
12Robotics Control System
13Principles of Computer Integrated Manufacturing


S.No 2nd Year Syllabus of M.Tech. in Artificial Intelligence
1Artificial Intelligence and Neural Network
2System modeling and identification
3Nano Robotics
4Robot Vision
5Robotic Simulation
6PLC and Data Acquisition system
7Summer Internship
8Computer Numerical Control Machines & Adaptive Control
9Manufacturing Systems Automation
10Robot Economics
11Modern Material Handling Systems
12Group Technology and Cellular Manufacturing


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