Academics

Notable Graduate Coursework
Deep Learning: Foundations, Applications, and Algorithms
Advanced Computer Vision
Advanced Computer Architecture
Massively Parallel Programming with CUDA
Statistical Machine Learning
Computational Photography
Integer Programming

Graduate Courses
Introduction to Computer Vision
Introduction to Computational Photography
Deep Reinforcement Learning from Scratch
Statistics for Life Sciences
Seminar In Statistical Language Modelling
Practicum in Intelligent Information Systems
Natural Language Processing
Knowledge Representation and Reasoning
Intro to Artificial Intelligence
Frameworks for Artificial Intelligence
Data Science Seminar
Machine Learning

Undergraduate Courses (Selective)
Soft Computing
Image and Vision Computing
Data Structures
Discrete Mathematical Structures
Linear Algebra
Statistics and Reliability
Graph Theory

External Courses
Algorithmic Toolbox
Machine Learning
Neural Networks for Machine Learning
Deep Learning: Python
Deep Learning: RNN
Deep Learning: NLP
Deep learning: CNN
Deep Learning: Hands-On ANN
Deep Learning: GAN + Variational Autoencoders
Artificial Intelligence: Reinforcement Learning
Artificial Intelligence: Deep Reinforcement Learning
Artificial Intelligence: A to Z, Build an AI
Data Structures and Algorithms Specialization
Deep Learning Nanodegree