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Home/Courses/Programming & Development/Distributed Systems in Practice
Programming & DevelopmentBackend EngineeringAdvancedFeatured

Distributed Systems in Practice

Consensus, replication and failure handling — the parts that bite in production.

4.9(428 ratings) 72 lessons · 9 modules 26h2.1k students
AM

Taught by

Arjun Mehta

Principal Engineer · Distributed Systems

Distributed Systems in Practice thumbnail
₹14,999₹21,99932% off

One-time payment · Lifetime access

7-day refund window. No questions asked.

What you'll learn

  • Choose between consistency models with real trade-offs in mind
  • Implement leader election and log replication
  • Design idempotent APIs that survive retries
  • Diagnose split-brain and clock-skew failures

About this course

Most engineers meet distributed systems for the first time during an outage. This course walks through replication, partitioning, consensus and exactly-once semantics using real incident narratives, then has you implement a replicated key-value store with a leader election protocol.

Curriculum

9 modules · 72 lessons · 26h

The detailed curriculum for this course is being finalised. The outline covers 72 lessons across 9 modules.

Requirements

  • Two or more years of backend experience
  • Comfort with networking basics

Who this course is for

  • Senior backend engineers
  • Engineers preparing for staff-level interviews

Student reviews

No written reviews yet. The course has 428 ratings with an average of 4.9 out of 5.

Distributed Systems in Practice thumbnail
₹14,999₹21,99932% off

One-time payment · Lifetime access

7-day refund window. No questions asked.

This course includes

  • 72 on-demand lessons
  • 26h of content
  • Exercises and projects
  • Certificate of completion
  • Lifetime access

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