Master system design concepts for software engineering interviews and real-world applications. Learn scalability, databases, caching, load balancing, and distributed systems.
Created by
Last updated 09/2026
English
4.5
CourseDescription
System Design is a critical skill for software engineers preparing for technical interviews or building large-scale applications. Tech giants like Google, Amazon, Meta, and Netflix emphasize system design to evaluate a developer's ability to build scalable and efficient systems.
This course covers system design fundamentals: client-server architecture, databases, APIs, caching, load balancing, microservices, distributed systems, and case studies. Learners will also solve interview-style system design problems with live mentor-led workshops and hands-on design projects.
By the end, you'll have the confidence to tackle system design interviews and design real-world scalable applications.
Target Audience
Software engineers preparing for interviews
Backend & full-stack developers building scalable apps
Students aiming for product-based companies
Professionals transitioning into architect-level roles
Prerequisites
Strong knowledge of programming (Java/Python/Node.js recommended)
Familiarity with databases & APIs helpful
Learning Outcomes
By completing this course, learners will:
Understand fundamentals of scalable system architecture
Design APIs, databases, and caching layers
Apply concepts like load balancing & replication
Work with microservices & distributed systems
Solve real-world system design interview questions
Build scalable prototypes of popular applications
Live Components
Weekly mock interview sessions on system design
Group brainstorming for architecture design
Mentor reviews of design documents
Pre-recorded Access
Video tutorials on databases, caching, microservices
Downloadable design templates & case studies
Revision content for interview prep
Coursecontent
Learning Path
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