Course description

This course provides a comprehensive introduction to Distributed, Parallel, and Cloud Computing and explores how modern computing systems process large and complex workloads efficiently.

Learners will study the principles of distributed systems, where multiple computers work together to accomplish shared tasks, as well as parallel computing, where computational tasks are divided and executed simultaneously across multiple processors or computing resources.

The course also introduces cloud computing and its role in providing scalable, flexible, and on-demand computing resources over the internet. Key topics include cloud service models, deployment models, virtualization, distributed architectures, resource management, scalability, fault tolerance, and cloud-based applications.

Through theoretical concepts and practical examples, learners will develop an understanding of how distributed, parallel, and cloud technologies are used to build high-performance and scalable software systems. The course provides a strong foundation for further study and practical work in cloud computing, distributed systems, DevOps, and modern software infrastructure.

What will i learn?

  • Explain the fundamental concepts of distributed, parallel, and cloud computing.
  • Explain the architecture and characteristics of distributed systems.
  • Understand different approaches to parallel processing and task execution.
  • Explain cloud computing concepts, models, and architectures.
  • Differentiate between IaaS, PaaS, and SaaS service models.

Requirements

  • Basic understanding of computer systems and software engineering.
  • Basic knowledge of programming concepts is recommended.
  • Familiarity with operating systems and computer networks is helpful.
  • Basic mathematics and problem-solving skills.
  • A computer or laptop with internet access.

Frequently asked question

The course is suitable for software engineering and computer science students, developers, IT professionals, and anyone interested in modern computing infrastructure.

It is the study of computing approaches that use multiple processors, computers, or cloud resources to process tasks efficiently, improve performance, and support scalable applications.

No. The course introduces cloud computing concepts from the fundamentals.

Basic programming knowledge is recommended because it can make it easier to understand some of the practical concepts.

You will learn about distributed systems, parallel processing, cloud architectures, virtualization, cloud service models, deployment models, scalability, and resource management.

Enoch Uhumuavbi

Enoch Uhumuavbi

Lectures

0

Skill level

400L

Expiry period

Lifetime

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