Description
System Design Masterclass. This comprehensive program teaches the skills necessary to design distributed, scalable, and highly reliable systems. Inspired by the architectures used at leading technology companies such as Google, Amazon, and Netflix, this course prepares software engineers, back-end developers, and system architects to face the challenges of designing large-scale systems in the real world, as well as job interviews. The course content covers a wide range of key concepts, including designing REST APIs, working with API Gateways, and implementing Rate Limiting. It also examines load balancing algorithms to efficiently distribute traffic and prevent single points of failure. Advanced topics such as caching strategies, data deletion policies, and distributed systems such as Redis are taught. The database section provides a detailed comparison of SQL and NoSQL, sharding techniques, indexing, and scalability principles. Asynchronous communications using WebSockets and message queues such as Kafka and RabbitMQ, and theoretical topics such as the CAP theorem and ACID transactions are also covered. The course also covers other key topics such as service discovery, Bloom filters, the principles of idempotency, and the differences between streaming and batch processing. Combining theory and practical examples, this course will empower participants to confidently design complex systems that are reliable, highly available, and fault-tolerant.
What you will learn
- How to design REST APIs and work with API Gateways
- Load Balancing Algorithms and How to Avoid Single Points of Failure (SPOF)
- Caching strategies, eviction policies, and distributed caching systems (such as Redis)
- Comparing SQL and NoSQL databases, sharding, scalability, and database indexing
- Concepts such as WebSockets, message queues (Kafka, RabbitMQ), and asynchronous communications
- CAP theorem, ACID transactions, Service Discovery, Bloom Filter, and other advanced concepts
- How to prepare for system design interviews with real-life examples
- How to design and scale APIs with API Gateway and Rate Limiting
- How to handle high traffic with load balancers, caching, content delivery networks (CDNs), and message queues
- Design strategies for reliability, availability, and fault tolerance
- The role of concepts like WebSockets, service discovery, and idempotence
- Practical tips on Concurrency vs Parallelism and Stream vs Batch Processing
This course is suitable for people who:
- Software engineers preparing for interviews at major tech companies (FAANG).
- Backend and full-stack developers working on scalable software.
- Computer science students seeking to master system architecture.
- Anyone who is curious to know how systems like YouTube, Uber, or Netflix are built.
Course details
- Publisher: Udemy
- Instructor: Arnab Das
- Training level: Beginner to advanced
- Training duration: 4 hours and 45 minutes
- Number of lessons: 29
Course syllabus in 2025/8
System Design Masterclass Course Prerequisites
- No Programming Experience Required
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
1.8 GB
