Course Details

This course covers topics and technologies related to Cloud Computing and their practical implementations. You should explore different architectural models of cloud computing, the concepts of virtualization and cloud orchestration. You should gain hands-on experience with various features of popular cloud platforms such as Google App Engine and Amazon Web Service throughout the lectures, tutorials, and laboratory sessions. Advanced cloud programming paradigms such as Hadoop’s Map Reduce is also included in the course. You should also learn the concept of modern Big Data analysis on cloud platforms using various data mining tools and techniques. The lab sessions cover cloud application development and deployment, use of cloud storage, creation and configuration of virtual machines and data analysis on cloud using data mining tools. Different application scenarios from popular domains that leverage the cloud technologies such as remote healthcare and social networks will be explained. The theoretical knowledge, practical sessions and assignments aim to help you to build your skills to develop large-scale industry standard applications using cloud platforms and tools.

Objectives

Understand various basic concepts related to cloud computing technologies

Understand the architecture and concept of different cloud models.

Understand big data analysis tools and techniques

Understand the underlying principle of cloud virtualization, cloud storage, data management and data visualization.

Understand different cloud programming platforms and tools

Have details knowledge on reading and writing in cloud storage

Be familiar with application development and deployment using cloud platforms

Create application by utilizing cloud platforms such as Google app Engine and Amazon Web Services (AWS)

Learn to develop scalable applications using AWS features

Learn basic concepts of Map Reduce programming models for big data analysis on cloud.