Distributed Systems (CS 420)

An elite, 18-hour online video course meticulously designed for upper-level Bachelor of Computer Science students, providing a systematic and rigorous journey through the principles, architectures, and trade-offs of modern distributed systems. Fully aligned with the authoritative textbook Distributed Systems (4th Edition) by Maarten van Steen and Andrew S. Tanenbaum, this curriculum bridges the gap between elegant theory and web-scale engineering practice.

  • 15:30:54 hr(s)
  • Sat, 12-Sep-2026
  • English
  • Certified Course
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About This Course

Welcome to Distributed Systems, a comprehensive online video course designed specifically for upper-level Bachelor of Computer Science students. Grounded in the widely acclaimed textbook Distributed Systems (4th Edition) by Maarten van Steen and Andrew S. Tanenbaum, this course bridges the gap between elegant theoretical principles and real-world system realization.

In an era where almost every computer system is networked, understanding how to design reliable, scalable, and secure distributed architectures is a fundamental requirement for modern software engineers. This course provides a systematic, perspective-driven journey through the core concepts, mechanisms, and trade-offs that power today's global infrastructures—from cloud computing platforms to decentralized networks.

 

What You Will Learn

Through structured video modules aligned directly with the textbook's chapters, you will master the following key dimensions of distributed environments:

  • System Architectures: Explore layered, service-oriented, publish-subscribe, and symmetrically distributed (P2P) systems, alongside modern hybrid, cloud-edge, and blockchain architectures.
  • Processes and Virtualization: Dive into the software backbone of distributed computing, focusing on multithreading, virtualization, containerization, and dynamic code migration.
  • Interprocess Communication: Master the foundational protocols of remote execution, including Remote Procedure Calls (RPC), advanced message-oriented middleware (MOM), and epidemic/gossip-based data dissemination.
  • Coordination & Naming: Learn how systems coordinate without a global clock, handle mutual exclusion, run leader elections, and resolve flat and structured names (such as DNS and Distributed Hash Tables).
  • Consistency & Replication: Analyze the critical trade-offs between consistency, replica placement, and performance, studying both data-centric and client-centric consistency models.
  • Fault Tolerance & Security: Study process resilience, consensus protocols (including Paxos and Raft), distributed commit, backward recovery, and secure communication channels.

 

Why Take This Course?

  • Modern, Relevant Curriculum: Directly integrates contemporary paradigms such as edge computing, containerized microservices, and decentralized ledgers (blockchains) with classical theory.
  • Theory Paired with Practical Insight: Learn to spot and avoid the "pitfalls of distributed computing" (such as assuming zero latency or an infinite, reliable network) through quantitative reasoning and practical logic.
  • High Career Demand: Mastery of distributed systems is the single most sought-after skill for high-paying roles in backend development, DevOps, and cloud architecture at top-tier tech companies.

 

Who Should Take This Course?

  • Computer Science Undergraduates: Third- or fourth-year Bachelor students who want to elevate their OS and networking knowledge to the system-scale level.
  • Aspiring Systems Engineers: Developers aiming to transition from building monolithic applications to engineering highly available, web-scale distributed systems.
  • Tech Enthusiasts: Anyone curious about how global giants like AWS, Akamai, BitTorrent, and DNS operate seamlessly behind the scenes.


What will I learn?

  • Architect Scalable and Microservice-based Infrastructures: Design and deploy server clusters, utilize Docker containers, and implement load balancing to handle millions of concurrent requests.
  • Implement Advanced IPC and Messaging Pipelines: Program highly decoupled systems utilizing Message-Oriented Middleware and robust, custom-tailored RPC mechanisms.
  • Deploy Consensus and Fault-Tolerant Engines: Build resilient node groups using industry-standard consensus models (like Raft or Paxos) and atomic commitment protocols.
  • Secure Decentralized Communications: Create secure communication channels, integrate certificate-based PKI, and establish secure delegation policies for open, hostile networks.

Verifiable Credentials

Every single course certificate issued by Atlanta College of Liberal Arts and Sciences (ACLAS) is verifiable via our digital registry and is eligible for institutional authentication (Apostille/IECC), ensuring your professional milestones are recognized globally as of 2026.

Curriculum

Requirements

  • Operating Systems Concepts: A solid understanding of process management, basic thread execution, concurrency, mutexes, and virtual memory.
  • Computer Networking Basics: Familiarity with the OSI/TCP-IP reference models, standard IP/TCP/UDP protocols, and basic socket programming.
  • Programming Proficiency: Comfort reading and writing code in high-level object-oriented or systems languages (such as Java, Python, Go, or C++) to easily interpret architectural code snippets.
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Preview this course
$ 50 $ 104.99
  • Lectures128
  • Skill LevelBeginner
  • LanguageEnglish
  • Quizzes2
  • CertificateYes
  • Expiry period Lifetime
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Distributed Systems (CS 420)
$ 50 $ 104.99