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System Design Course
More than 2 million students worldwide

System Design Course

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Master the skills engineers need to design large-scale, production-grade systems from the ground up. This course covers everything from distributed databases and caching strategies to microservices and fault tolerance. Whether you're preparing for a senior engineering role or levelling up your architecture skills, this is the most complete system design resource available.

Dedika for businesses

What you will learn:

You will learn how to gather requirements, estimate system load, and translate both into concrete architectural decisions. The course covers networking protocols, API design, database scaling, and caching patterns used at companies handling millions of requests per day. You will study distributed systems challenges including replication, consensus, and fault tolerance. Microservices decomposition, service discovery, and distributed data management are covered in depth. Supplementary chapters address security, observability, cloud-native infrastructure, and data-intensive pipelines. By the end, you will be able to design complete systems like a URL shortener, a real-time chat platform, and a distributed file storage service.

How you study in practice System Design Course

How you practise System Design Course

For businesses looking to train their team

With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.

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Course content

8 Chapters • 38 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Foundations of System Design

  • Lesson 1 • Requirements Gathering and Scoping

    Covers techniques for extracting and prioritising requirements before designing. Connects clear scoping to better architectural decisions.

  • Lesson 2 • Back-of-Envelope Estimation

    Teaches rapid quantitative estimation of load, storage, and bandwidth. Grounds design decisions in realistic numbers from the start.

  • Lesson 3 • What Is System Design

    Defines system design as the process of defining architecture, components, and data flow. Establishes vocabulary used throughout the course.

  • Lesson 4 • Core Design Goals and Trade-offs

    Introduces reliability, availability, scalability, and maintainability as primary goals. Shows how optimising one goal often constrains another.

Chapter 2See details

Networking and Communication Basics

  • Lesson 1 • Synchronous vs. Asynchronous Communication

    Contrasts request-response with event-driven messaging patterns. Connects communication style to latency and coupling trade-offs.

  • Lesson 2 • Internet and Protocol Fundamentals

    Reviews TCP/IP, DNS, and HTTP as the backbone of distributed communication. Provides context for higher-level design choices.

  • Lesson 3 • API Design Patterns

    Compares REST, GraphQL, and RPC as primary API paradigms. Guides selection based on client needs and system constraints.

  • Lesson 4 • Long-Polling, WebSockets, and Streaming

    Covers real-time communication techniques for push-based data delivery. Prepares students to design live-update features.

Chapter 3See details

Data Storage and Database Design

  • Lesson 1 • NoSQL Database Categories

    Surveys key-value, document, column-family, and graph stores. Maps each category to appropriate use cases.

  • Lesson 2 • Storage Engine Selection

    Provides a decision framework for choosing between relational, NoSQL, and specialised stores. Reinforces trade-off reasoning from earlier sections.

  • Lesson 3 • Relational Database Fundamentals

    Covers ACID properties, normalisation, and indexing in relational databases. Anchors later comparisons with NoSQL alternatives.

  • Lesson 4 • CAP Theorem and Consistency Models

    Explains the CAP theorem and its practical implications for distributed storage. Introduces consistency spectrum from eventual to strong.

  • Lesson 5 • Database Scaling Strategies

    Teaches replication, sharding, and partitioning to handle growing data volumes. Connects each strategy to specific scalability bottlenecks.

Chapter 4See details

Caching and Performance Optimisation

  • Lesson 1 • Cache Consistency Patterns

    Examines cache-aside, write-through, write-behind, and read-through patterns. Connects each pattern to consistency and performance trade-offs.

  • Lesson 2 • Caching Layers and Placement

    Covers client-side, CDN, application, and database caches. Shows how layer placement affects latency and consistency.

  • Lesson 3 • Caching Fundamentals

    Defines cache hits, misses, eviction policies, and TTL. Establishes the performance impact of caching in distributed systems.

  • Lesson 4 • Advanced Caching Challenges

    Addresses thundering herd, cache stampede, and cache poisoning problems. Prepares students to design resilient caching solutions.

Chapter 5See details

Scalability and Load Distribution

  • Lesson 1 • Vertical vs. Horizontal Scaling

    Contrasts scaling up hardware with scaling out instances. Establishes when each approach is appropriate and its cost implications.

  • Lesson 2 • Auto-Scaling and Elasticity

    Teaches reactive and predictive auto-scaling based on metrics. Prepares students to design cost-efficient elastic architectures.

  • Lesson 3 • Rate Limiting and Throttling

    Introduces token bucket, leaky bucket, and sliding window algorithms. Protects system resources from overload and abuse.

  • Lesson 4 • Load Balancing Strategies

    Covers round-robin, least-connections, and consistent-hash algorithms. Connects algorithm choice to traffic patterns and session requirements.

  • Lesson 5 • Content Delivery Networks

    Explains CDN architecture, edge caching, and origin offload. Shows how CDNs reduce latency for geographically distributed users.

Chapter 6See details

Distributed Systems and Reliability

  • Lesson 1 • Disaster Recovery and Backup

    Covers RTO, RPO, backup strategies, and multi-region failover. Prepares students to design systems that survive catastrophic failures.

  • Lesson 2 • Replication and Consensus

    Explains leader-follower replication and consensus algorithms for agreement. Connects replication strategy to consistency and availability goals.

  • Lesson 3 • Idempotency and Exactly-Once Semantics

    Addresses duplicate requests and message delivery guarantees. Ensures correctness in the presence of retries and network failures.

  • Lesson 4 • Fault Tolerance Patterns

    Teaches circuit breakers, retries, timeouts, and bulkheads. Equips students to prevent cascading failures in distributed services.

  • Lesson 5 • Distributed Systems Challenges

    Covers network partitions, clock skew, and partial failures as inherent distributed problems. Sets realistic expectations for system behaviour.

Chapter 7See details

Microservices and Service Architecture

  • Lesson 1 • Service Discovery and Registration

    Explains client-side and server-side discovery patterns for dynamic service location. Enables resilient routing in elastic environments.

  • Lesson 2 • Service Decomposition Principles

    Applies domain-driven design and bounded contexts to define service boundaries. Reduces coupling whilst maximising cohesion.

  • Lesson 3 • Distributed Data Management

    Addresses the saga pattern, two-phase commit, and eventual consistency across services. Solves distributed transaction challenges.

  • Lesson 4 • Inter-Service Communication

    Covers synchronous REST/gRPC and asynchronous event-driven communication between services. Connects choice to latency and coupling trade-offs.

  • Lesson 5 • Monolith vs. Microservices

    Compares monolithic and microservice architectures across complexity, deployment, and scaling dimensions. Guides migration decisions.

Chapter 8See details

End-to-End System Design Practice

  • Lesson 1 • Designing a Real-Time Chat System

    Builds a chat architecture using WebSockets, message queues, and presence detection. Synthesises networking, storage, and scalability chapters.

  • Lesson 2 • Designing a URL Shortener

    Walks through a complete URL shortener design covering hashing, storage, and redirection. Reinforces estimation, caching, and database selection.

  • Lesson 3 • Design Interview Framework

    Provides a structured approach to scoping, estimating, and presenting system designs. Builds confidence and consistency in design sessions.

  • Lesson 4 • Designing a Distributed File Storage

    Designs a large-scale file storage system with chunking, metadata, and replication. Applies distributed systems concepts to blob storage.

  • Lesson 5 • Designing a Social Feed System

    Covers fan-out-on-write vs. fan-out-on-read for news feed generation. Integrates caching, ranking, and notification subsystems.

  • Lesson 6 • Architecture Review and Iteration

    Teaches structured critique of existing designs to find and fix weaknesses. Develops the habit of iterative refinement in professional practise.

Certification

Your valid completion certificate

This course is for you:

  • Mid-level software engineers: ready to grow beyond feature work into architecture.

  • Backend developers: wanting to understand how their services fit at scale.

  • Engineering managers: needing technical depth to evaluate and guide design decisions.

  • Computer science graduates: entering the industry and targeting senior-track positions.

  • Career changers from adjacent fields: bringing domain knowledge and seeking systems fluency.

  • Freelance developers: aiming to pitch and deliver more complex, scalable client solutions.

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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