
Real-World Architectures, Patterns & Cloud Case Studies
Course Description
N.B. - This course contains the use of artificial intelligence
System design is no longer just for senior engineers—it’s a must-have skill for software developers, cloud engineers, SREs, and architects who want to build systems that scale, perform, and stay reliable.
This course takes you beyond theory and teaches you how real-world systems are designed, step by step.
You’ll start by mastering core system design foundations, then move into scalability, reliability, distributed systems, and messaging. From there, you’ll design real products used by millions—like URL shorteners, Instagram-style platforms, messaging systems, and video streaming services.
What makes this course unique is its cloud-native and practical approach. You’ll see how modern system design is implemented in AWS and Azure, including real enterprise-grade architectures, auto-scaling strategies, centralized logging, AI-powered workloads, and case studies from production systems.
By the end of this course, you won’t just understand system design—you’ll think like a system designer and confidently architect scalable systems for interviews, startups, and enterprise environments.
What You’ll Learn
How to design systems that scale from 1 user to millions
Core building blocks: load balancers, caching, databases, messaging, and distributed systems
High-level architecture patterns for scalability, reliability, and resilience
Hands-on designs for URL shorteners, social media, chat apps, and video streaming
Advanced topics like consistency, consensus, data engineering, and security
Cloud-native system design using AWS and Azure
Real-world case studies from modern production systems
How to design systems that scale from 1 user to millions
Core building blocks: load balancers, caching, databases, messaging, and distributed systems
High-level architecture patterns for scalability, reliability, and resilience
Hands-on designs for URL shorteners, social media, chat apps, and video streaming
Advanced topics like consistency, consensus, data engineering, and security
Cloud-native system design using AWS and Azure
Real-world case studies from modern production systems
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