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MITDS Module-7: ITDS640 Cloud Computing and Distributed Systems (7.5 ECTS)

The Cloud Computing and Distributed Systems course is designed to provide students with a comprehensive understanding of the architecture, design, implementation, and management of cloud computing and distributed systems. The course typically covers a range of topics, including cloud computing models, infrastructure and platform services, distributed systems architectures, and distributed algorithms.

5 ( 1 ratings ) 7 students enrolled
Reviewed on 2023-03-11 09:27:58 Last updated on 2025-01-21 07:33:53 English
What I will learn?

    Topics covered in the Cloud Computing and Distributed Systems course include:

    ·      Introduction to Cloud Computing

    ·      Distributed Systems Architecture

    ·      Distributed Algorithms

    ·      Cloud-based Applications

    ·      Security and Privacy

    Overall, the Cloud Computing and Distributed Systems course is designed to prepare students for a career in cloud computing and distributed systems. The course emphasizes hands-on experience with cloud infrastructure and platform services, distributed systems architectures and algorithms, and security and privacy issues related to cloud computing.


Lessons for this course
1 Units
  •     ITDS640 Learning Material 0
  •     ITDS640 Assignment Outline 0
  •     ITDS640 Assignment 0
Requirements
  • No Requirements
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Course Objective

The primary objectives of the Cloud Computing and Distributed Systems course include:

·      An understanding of cloud computing concepts, models, and services.

·      The ability to design and implement distributed systems architectures.

·      Knowledge of distributed algorithms and their applications.

·      The ability to develop cloud-based applications and services.

·      An understanding of security and privacy issues related to cloud computing and distributed systems.

About the institution
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EUROPEAN INTERNATIONAL UNIVERSITY-PARIS
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Student feedback
Average rating
5

Ragab Abdelmeguid


07:05:29 AM 2025-01-09

The course provides a comprehensive and in-depth introduction to Cloud Computing and Distributed Systems, covering fundamental concepts, technical principles, and real-world applications. With a systematic approach, the course ensures learners of all levels can understand and appreciate the importance of cloud computing technologies and distributed systems in today’s digital ecosystem. Part 1: Cloud Computing Full Course 1. Comprehensive Content The course covers everything from the basics of cloud computing to specific details about leading platforms like AWS, Azure, and Google Cloud Platform (GCP). Topics such as the Cloud Computing Lifecycle, types of cloud computing, and key cloud tools ensure a complete foundation for beginners. 2. Detailed Platform Insights The exploration of platforms like AWS, Azure, and GCP is detailed and well-structured: AWS: Covers its history, services, advantages, and market dominance, providing a clear understanding of why AWS is a leading cloud service provider. Azure: Includes services, use cases, certifications, and a comparison with AWS, offering valuable insights into Azure's versatility. GCP: While not as extensively covered as AWS and Azure, the comparison segments help contextualize its unique position in the market. 3. Focus on Practical Learning Tutorials, market comparisons, and case studies (e.g., companies using cloud services) provide a practical lens to theoretical knowledge. Topics like certifications and steps to become a Cloud Computing Engineer add value for learners seeking career opportunities in the field. 4. Strengths: Well-organized progression from basics to advanced topics. Insightful comparisons (AWS vs Azure vs GCP). Career-oriented discussions, including interview questions and certifications. Suggestions for Improvement: Expand GCP Coverage: Since GCP is a major player, providing more details about its services and unique features would enhance the course. Interactive Examples: Practical demos or simulations for services like AWS Lambda, Azure Functions, or GCP Compute Engine would deepen understanding. Part 2: Distributed Systems Course 1. Detailed Breakdown of Distributed Systems This segment provides an advanced look at distributed systems with clear explanations of key concepts such as fault tolerance, time synchronization, and replication. The inclusion of topics like Byzantine Generals Problem, consensus protocols (Raft, Quorums), and eventual consistency is particularly valuable for learners interested in the theoretical underpinnings of distributed computing. 2. Strong Theoretical Foundation Topics like logical vs. physical time, broadcast ordering, and linearizability provide a solid theoretical foundation for understanding the complexities of distributed systems. Concepts like Google Spanner illustrate real-world applications, bridging the gap between theory and practice. 3. Strengths: Well-structured explanations of complex topics like consensus algorithms and fault tolerance. Contextual discussion of distributed systems in modern computing, such as collaboration software and large-scale systems. Suggestions for Improvement: Add More Real-World Applications: While Google's Spanner is discussed, more examples (e.g., distributed databases like MongoDB or Cassandra) would improve practical understanding. Interactive Demos: Showing real-time fault-tolerance or consensus protocols in action would make the course more engaging. Overall Assessment This course is an excellent resource for learners looking to build a strong foundation in Cloud Computing and Distributed Systems. The combination of beginner-friendly tutorials and advanced theoretical insights makes it suitable for a wide audience. Highlights: Comprehensive coverage of cloud platforms like AWS, Azure, and GCP. Strong career focus with certifications and interview preparation. Advanced concepts in distributed systems with a focus on theoretical and practical relevance. Areas for Improvement: Expand coverage of GCP and include more real-world case studies in distributed systems. Incorporate hands-on examples and interactive learning modules for key concepts. The course is highly recommended for beginners aiming to understand cloud computing fundamentals and distributed systems enthusiasts seeking deeper insights. It strikes a good balance between career-oriented learning and technical depth.



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