STUDENTS

Enhance your skill-set with our expert led courses in various futuristic technologies

CORPORATE BOOTCAMP

Explore customized courses that suit the training requirements of your workforce

OUR COURSES

Bright Academy, offers a wide and flexible course curriculum for engineering

and technology students to make them industry-ready professionals.

 

WHAT DO WE OFFER?

Bright Academy trains and mentors students and working professionals interested in learning

and up skilling in emerging engineering and computer science areas. Students get

intensive exposure into soft skills, programming, database, data structures and

computer architecture.

Industry experienced faculty

In-course practical exposure

Gateway to Dream jobs and Internships

Customized corporate bootcamps

International Publications in ACM / IEEE/ Springer

OUR ALUMNI STUDY AT

OUR STUDENTS WORK / INTERN AT

MAKE THEM DREAM

OUR SUCCESS STORIES

Abhijith Ragav

Naveen Narayanan

Pravin Kumaar R

Nidhi Bhandari

Gautham Krishna Gudur

OUR PUBLICATIONS

Sign Language Translation using Multi Context Transformer

M Badri Narayanan, Mahesh Bharadwaj K, Nithin G R, Dhiganth Rao Padamnoor, Vineeth Vijayaraghavan 20th Mexican International Conference on Artificial Intelligence (MICAI) Won the 3rd Best Paper Award

BP-Net: Efficient Deep Learning for Continuous Arterial Blood Pressure Estimation using Photoplethysmogram

Rishi Vardhan, Vedanth S, Poojah Ganesan, Abhishek K, Nitish Kumar, Vineeth Vijayaraghavan 20th IEEE International Conference on Machine Learning and Applications (ICMLA)

Critical State Detection for Adversarial Attacks in Deep Reinforcement Learnin

M Badri Narayanan, Mahesh Bharadwaj K, Nithin G R, Dhiganth Rao Padamnoor, Vineeth Vijayaraghavan 20th Mexican International Conference on Artificial Intelligence (MICAI) Won the 3rd Best Paper Award

End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices

Rishi Vardhan, Vedanth S, Poojah Ganesan, Abhishek K, Nitish Kumar, Vineeth Vijayaraghavan 20th IEEE International Conference on Machine Learning and Applications (ICMLA)