Master of Technology (M.Tech.) Artificial Intelligence Course at Guru Nanak University (GNU), Hyderabad Syllabus & Subjects Semester Wise

The Master of Technology (M.Tech.) Artificial Intelligence syllabus at Guru Nanak University (GNU), Hyderabad is designed to provide overall knowledge to the students with a strong foundation. Master of Technology (M.Tech.) Artificial Intelligence faculty at Guru Nanak University (GNU) specially focus on in-depth learning to relevant subjects. At first semester syllabus of Master of Technology (M.Tech.) Artificial Intelligence at Guru Nanak University (GNU), students learn the basics of programme. A strong foundation is very important for comprehensive learning. Master of Technology (M.Tech.) Artificial Intelligence syllabus at Guru Nanak University (GNU), Hyderabad maintains a balance between theoretical knowledge and practical knowledge.

Master of Technology (M.Tech.) Artificial Intelligence first year students at Guru Nanak University (GNU) are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Guru Nanak University (GNU), Hyderabad also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Master of Technology (M.Tech.) Artificial Intelligence syllabus at Guru Nanak University (GNU), Hyderabad is also frequently updated to give industry relevant training and knowledge to students. Guru Nanak University (GNU) strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Guru Nanak University (GNU) 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 Guru Nanak University (GNU), Hyderabad 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 Guru Nanak University (GNU) 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 Guru Nanak University (GNU) 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 Guru Nanak University (GNU) aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at Guru Nanak University (GNU)

Workshops and Seminars - Regular sessions with industry experts help Master of Technology (M.Tech.) Artificial Intelligence students at Guru Nanak University (GNU) to stay updated with current trends.
Group Projects - Collaborative projects according to Guru Nanak University (GNU) syllabus develop teamwork and problem-solving skills.
Case Studies - Master of Technology (M.Tech.) Artificial Intelligence syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
Extracurricular Activities - Guru Nanak University (GNU) 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 Guru Nanak University (GNU), Hyderabad 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
1	Graph Theory
2	Electronics System Design
3	Introduction to Robotics
4	Machine and Mechanics
5	Embedded Systems
6	Manufacturing System Simulation
7	Robot Programming
9	Electrical Actuators and Drives
10	Image Processing & Machine Vision
11	Robotics Based Industrial Automation
12	Robotics Control System
13	Principles of Computer Integrated Manufacturing

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