Course Description

The Cloud Computing course is designed to give learners a thorough understanding of distributed systems and the essential principles behind cloud architectures. Through a combination of theoretical foundations and practical applications, you will explore key topics such as:

• Distributed system concepts, including consistency models, multicast ordering, and failure detection
• The CAP theorem, which defines the trade-offs between consistency, availability, and partition tolerance in distributed databases
• The architecture and design of key-value stores like Cassandra and NoSQL databases
• Deep insights into cloud platforms, MapReduce, grid infrastructure, and peer-to-peer (P2P) systems
• Protocols like Gossip and technologies such as HBase, Paxos, and Napster that form the backbone of modern cloud solutions

This course is perfect for aspiring cloud architects, developers, and IT professionals looking to expand their knowledge of cloud computing infrastructure, distributed systems, and large-scale computing environments.

What will i learn?

• Understand the core principles of cloud computing and distributed systems
• Implement distributed algorithms like the Gossip protocol, MapReduce, and Paxos
• Explain the trade-offs defined by the CAP theorem in cloud architectures
• Use key-value stores like Cassandra and NoSQL databases in cloud environments
• Grasp concepts such as consistency, failure detection, and grid infrastructure
• Develop and troubleshoot cloud-based applications and infrastructure
• Gain practical experience with modern cloud computing tools and platforms

Frequently asked question