Database Systems
Operating Systems
Logic in Computer Science
Theory of Computation
Principles of Programming Languages
Computer Networks
Design and Analysis of Algorithms
Microprocessors and Interfacing
Digital Design
Computer Architecture
Professional Ethics
Creating and Leading Entrepreneurial Org.
Print and Visual Advertisement
Dramatics
Mass Communication
Human Resource Development
Data Structures and Algorithms
Object Oriented Programming
Computer Programming (in C)
Compiler Construction
Calculus: Univariate and Multivariate, Differential and Integral
Probability and Statistics
Linear Algebra (with Matrix Theory)
Differential Equations
CS231n: Convolutional Neural Networks for Visual Recognition, Dr. Fei Fei Li, Stanford
Neural Networks and Deep Learning Specialisation, Andrew Ng.
Machine Learning, Andrew Ng, Coursera
Languages : C , C++ , Java , JavaScript, Python , Selenium
Libraries: TensorFlow, Keras, PyTorch, OpenCV , Numpy
Development Tools: Git, Github, Jenkins