Events

VALUE ADDED COURSE Implementation of ML Algorithms with FPGA – VAC2515
07-02-2026

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04-04-2026

The value-added course, “Implementation of Machine Learning Algorithms with FPGA,” aims to familiarize students with ML models for edge computing, the need for hardware acceleration, and the practical implementation of ML, NN, and DNN algorithms on FPGA platforms. The course includes hands-on sessions with FPGA design tools, HLS-based acceleration, optimization techniques such as quantization and pruning, and deployment workflows for real-time ML applications.

One day workshop on Artificial Intelligence Applications in Water Resources
Industry-Academia Partnership Convention – IAPC 2026
Hands Workshop – Gen AI Superpowers for Students
Real-Time Database Monitoring and Failover Solutions with Case Studies

Undergraduate Admission

Undergraduate NRI / Foreign Admission

Postgraduate Admission

Postgraduate NRI / Foreign Admission

Research

VIT Online Education

Others

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