Training and Placement Cell, being an independent body under the umbrella of Krishna Group of Institutions takes care of all students not in the last semester but from the 1st semester by enhancing their soft skills as well as technical skills and providing the best opportunities with various profiles and respectable package.
Mentioned below are the placement highlights of Krishna Group of Institutions, Kanpur.
| Companies Visited | 200 |
| Highest Package Offered | INR 5.4 LPA |
| Job Offers | 2,000 |
At KGI, the Training & Placement cell tries to bridge the international quality gap in the education and the corporate world by providing the aspiring students with guidance in their choice of career and by enhancing soft skills and inculcating corporate culture. Training and Placement effort starts from 1st semester to imbibe corporate skills and culture in students at KGI. They are liable to deliver Global Professionals with ample placement opportunities.
Mentioned below are the top companies recruiting from the Krishna Group of Institutions during placements.
| Amazon | Tech Mahindra | Wipro |
| TATA Housing | Hindustan Unilever Limited | Mahindra |
Ans. Yes, there is a training and placement cell at KGI, which is liable to deliver Global Professionals with ample placement opportunities
Ans. Amazon, Tech Mahindra, Wipro, TATA Housing, Hindustan Unilever and Mahindra are a few of the top recruiters of the Krishna Group of Institutions.
Krishna Group of Institutions BTech JEE Main cutoff 2025 has been released for Round 2. The overall Krishna Group of Institutions BTech cutoff 2025 Closing Rank for General category is 309045 for Computer Science and Engineering and 1438053 for Computer Science And Engineering(Artificial Intelligence & Machine Learning). Krishna Group of Institutions JEE Main Cutoff 2025 for BTech admission is listed below.
| B.Tech [Bachelor of Technology] | Round 2 (Closing Rank) |
|
Computer Science and Engineering
|
309045 |
|
Computer Science And Engineering(Artificial Intelligence & Machine Learning) (FW)
|
1360697 |
|
Computer Science And Engineering(Artificial Intelligence & Machine Learning)
|
1438053 |
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