Advanced Certificate Program in Full Stack Software Development 

A Professor in the Department of Computer Science and Engineering at IIT Roorkee since 2004. His research focus is in the areas of Computer Vision, Graphics and Image Processing, etc.

An Associate Professor in the Department of Computer Science and Engineering at IIT Roorkee since 2014. His research focus is in the areas of Computer Vision, Machine Learning and Deep Learning, etc.

His research interests are the areas of Nanoscale Devices and Circuits, Semiconductor Memories, ML and In-memory Computing, IoT, and Sensors.

Dr. Abhinanda Sarkar has a degree in B.Stat. and M.Stat. from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He has been currently adjunct or visiting faculty at Stanford, ISI Delhi, the IIM-B and IISC. After working in the research teams at MIT and IBM, he spent a decade at General Electric in Bangalore. At Great Learning, Dr. Sarkar is the Academic Director wherein he ensures academic rigour and quality for all programs offered through Great Learning

Prof. Mukesh Rao is an Adjunct Faculty at Great Lakes for Big Data and Machine Learning. Mukesh has over 20 years of industry experience in Market Research, Project Management, and Data Science. Mukesh has conducted over 100 corporate trainings. Data Science training covers all the stages of CRISP DM, tools and techniques used in each stage, machine learning algorithms and their application. Big Data training covers core Apache Hadoop technologies including HDFS, YARN, Map Reduce, PIG, HIVE, SQOOP, FLUME, SPARK and MongoDB.