System Design Masterclass - Printable Version

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System Design Masterclass - AD-TEAM - 08-10-2025

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System Design Masterclass
Published 7/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.19 GB | Duration: 4h 45m

Learn to design scalable, distributed, and high-performance systems with real-world examples and interview prep.

What you'll learn

How to design and scale APIs with API Gateways and Rate Limiting

How to handle high traffic with Load Balancers, Caching, CDNs, and Message Queues

The CAP Theorem, ACID, NoSQL vs SQL, Sharding, and Database Scaling

Design strategies for reliability, availability, and fault tolerance

The role of WebSockets, Service Discovery, Idempotency, and more

Real-world insights into Concurrency vs Parallelism, Stream vs Batch Processing

Requirements

No Programming Experience Required

Description

System Design Masterclass, Design Scalable & Distributed SystemsLearn how to design scalable, reliable, and high-performance systems used by top tech companies like Google, Amazon, and Netflix.Are you preparing for a system design interview or building the backend for a real-world application? This System Design Masterclass covers all the key concepts you need from APIs and load balancers to databases, caching, messaging queues, and distributed systems.This course is designed for software engineers, backend developers, and architects who want to gain hands-on knowledge and confidently design large-scale systems.What You'll Learn:How to design REST APIs and work with API GatewaysLoad balancing algorithms and how to avoid single points of failure (SPOF)Caching strategies, eviction policies, and distributed caching systems (like Redis)SQL vs NoSQL databases, database sharding, scaling, and indexingWebSockets, message queues (Kafka, RabbitMQ), and asynchronous communicationCAP Theorem, ACID transactions, service discovery, Bloom filters, and moreHow to prepare for system design interviews with real-world examplesKey System Design Topics Included:RESTful APIs, Idempotency, ChecksumsLoad Balancing & Rate LimitingCaching (LRU, LFU), CDNs, Distributed CachingSQL vs NoSQL, Database Scaling, ShardingWebSockets vs Long PollingMessage Queues, Stream vs Batch ProcessingFault Tolerance, High Availability, ProxiesBloom Filters, Service Discovery, ConcurrencyWhy Take This Course?Whether you're a developer, software architect, or job-seeker preparing for interviews, this course gives you:essential system design concepts explained clearly and visuallySystem Design interview prep tips and frameworks used by FAANG engineersPractical knowledge that you can apply to projects, products, or interviewsNo Experience NeededWe start from the fundamentals and build up. By the end, you'll be confident in designing scalable systems that power real-world applications like YouTube, Uber, Netflix, or Amazon.Who Should Take This Course?Software Engineers preparing for FAANG-level interviewsBackend & Full Stack Developers working on scalable applicationsComputer Science students looking to master system architectureAnyone curious about how systems like YouTube, Uber, or Netflix are builtEnroll now and start designing like a systems architect!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Course Materials & Solutions

Section 2: Foundations of System Design

Lecture 3 APIs

Lecture 4 API Gateway

Lecture 5 Scalability

Lecture 6 Availability

Lecture 7 CAP Theorem

Lecture 8 SPOF (Single Point of Failure)

Lecture 9 Idempotency

Lecture 10 Checksums

Section 3: Load Handling, Caching & Content Delivery

Lecture 11 Load Balancers

Lecture 12 Load Balancing Algorithms

Lecture 13 Caching

Lecture 14 Caching Strategies

Lecture 15 Cache Eviction Strategies

Lecture 16 Distributed Caching

Lecture 17 CDNs

Section 4: Data at Scale, Storage, Indexing, and Databases

Lecture 18 Database Types

Lecture 19 SQL vs NoSQL

Lecture 20 ACID Transactions

Lecture 21 Database Indexes

Lecture 22 Database Sharding

Lecture 23 Database Scaling

Section 5: Communication Between Systems

Lecture 24 WebSockets

Lecture 25 Long Polling vs WebSockets

Lecture 26 Message Queues

Lecture 27 Rate Limiting Algorithms

Section 6: Architecture, Optimization & Final Touches

Lecture 28 Concurrency vs Parallelism

Section 7: Let's review our Learnings

Section 8: Conclusion

Lecture 29 Thank You

Developers preparing for system design interviews,Engineers aiming to scale systems like Netflix, Uber, or Amazon,Students and professionals who want to become backend/system architects

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