Glosys Research Programs


AI & Machine Learning Software Suite and SaSS enabled Platform for Glosys Research Programs to empower the students and professionals to learn and practice the industry-ready modules for research career

Glosys Research Program
Online Classes

Weekend Batch

9 Months | SAT & SUN (34 WEEKS) | 8 hours per week         | FILLING FAST

6 Courses | 180 Modules | 272 hrs | online

Research Program Price | Students : Rs. 60000 | Working Professionals : Rs. 80000


Weekday Batch

7 Months | 10 hours per week         | FILLING FAST

Option 1: MON, WED & FRI (27 Weeks) OR Option 2 : TUE, THU & SAT (27 Weeks)

6 Courses | 180 Modules | 270 hrs | online

Research Program Price | Students : Rs. 60000 | Working Professionals : Rs. 80000


Glosys Research Career Programs

Data Science Research Program


6 Courses | 180 Modules | 270 hrs | online

Program Details

AI & DeepLearning Research Program


6 Courses | 180 Modules | 270 hrs | online

Program Details




Research Career Programs Overview

Data Science Research Program

This course has been designed and prepared for professionals aspiring to become Data Science Researcher and develop applications involving data science techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful python, nltk and opencv packages. After completing this course, you will gain a broad spectrum of the data science environment and the best practices for data science techniques.


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AI & DeepLearning Research Program

This course has been designed and prepared for professionals aspiring to become AI & DeepLearning Researcher and develop applications involving deep learning techniques such as convolutional neural networks for vision, recurrent neural networks for text, reinforcement learning, classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful python, tensorflow and pyTorch packages. After completing this course, you will gain a broad spectrum of the deep learning environment and the best practices for deep learning techniques.


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