How to prepare for Agni College of Technology placements?
Asked by Shiksha User
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1 Answer
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Here are the few important tips that candidates need to follow before applying and participating in the placement process at Agni College of Technology:
- Prepare a well-structured and strong resume.
- Inquire and research about the company, job details and various aspects of it.
- Be prepare about the technical test on fundamental concepts. For this, candidates need to attempt mock test available on the internet.
- It is important to examine the core skills. Consider the core skills from the standpoint of an interviewer, and prepare to present your skills effectively.
- Be careful about the appearance, and work on communication and interpersonal ski
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The fees range for courses offerred by the Agni College of Technology is around INR 50000 - INR 200000.
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According to Shiksha verified reviews, for the faculty Agni College of Technology have rating of 4.15. It represents that Institute has good, qualified and experienced faculty members.
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Agni College of Technology is a good institution for B.E. / B.Tech, M.E./M.Tech courses, and these programs are delivered by highly experienced faculty. Major specialisation at Agni College of Technology are Mechatronics Engineering, Mechanical Engineering, Chemical Engineering, Electronics & Communication Engineering, Electrical Engineering, Computer Science Engineering, Civil Engineering, Biomedical Engineering, Aerospace Engineering, Communications Engineering, Structural Engineering, Artificial Intelligence & Machine Learning, Information Technology.
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Agni College of Technology provides programmes including B.E. / B.Tech, M.E./M.Tech in streams such as Engineering, and are excellent for students to build their careers. The institute has specializations in Mechatronics Engineering, Mechanical Engineering, Chemical Engineering, Electronics & Communication Engineering, Electrical Engineering, Computer Science Engineering, Civil Engineering, Biomedical Engineering, Aerospace Engineering, Communications Engineering, Structural Engineering, Artificial Intelligence & Machine Learning, Information Technology.
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