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System Design - Skill Up

Self-Paced Course
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interested count3k+ interested Geeks

This System Design course is made to help you learn how to build software systems that can grow, handle lots of users, and work well over time. Youll start with the basics of design and object-oriented programming, then move on to how to make systems faster and more reliable. Youll also learn about how big companies design systems that work across many servers and how to use cloud tools. By the end, youll know how to design real-world apps like chat apps, ride-sharing, and online stores.

course duration16 Weeks
interested count3k+ interested Geeks

Course Overview

This course runs for about 80 days. Each day focuses on one important topic. Youll get clear explanations, examples, and projects to practice. We begin with basic programming and design ideas, then cover important system parts like databases, caching, and messaging. After that, youll learn about big systems that run on many machines and how to keep them safe and working. The last part teaches cloud tools and how to keep your systems running smoothly with modern tools.

Course Highlights

  • Learn the basics of system design and object-oriented programming
  • Understand common design patterns used in software development
  • Get hands-on practice with small projects to apply your knowledge
  • Master concepts of scaling systems and improving performance
  • Dive into databases, caching, and messaging for real systems
  • Explore distributed systems and how large systems stay reliable
  • Get familiar with cloud technologies, containers, and deployment tools
  • Build and design popular real-world systems step-by-step
  • Prepare for system design interviews with solid foundational knowledge
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Course Content

01Stage 1: Basics and Object-Oriented Design
  • Introduction to System Design: What system design is and why it's important
  • Object-Oriented Programming (OOP) Principles: Encapsulation, Inheritance, Polymorphism, Abstraction
  • SOLID Principles: Simple rules for writing good code
  • Coding Best Practices: DRY, KISS, YAGNI
  • UML Diagrams and Low-Level Design (LLD): Class diagrams, sequence diagrams, workflow
  • Common Design Patterns: Singleton, Factory, Abstract Factory, Builder, Prototype, Adapter, Decorator, Composite, Proxy, Facade, Observer, Strategy, Command, State, Template Method
  • Practice Projects: Library Management System, Parking Lot, Vending Machine, Elevator, Tic-Tac-Toe, Snake and Ladder games
02Stage 2: Scalability and Performance
  • Scalability Concepts: Vertical vs Horizontal scaling
  • Stateless vs Stateful Services: What they mean and when to use them
  • Load Balancing: Basics and types
  • Caching Strategies: How caching speeds up systems
  • Databases: SQL vs NoSQL basics
  • Database Optimization: Indexing, query optimization, replication, sharding, partitioning
  • Messaging Systems: Message queues (RabbitMQ, Kafka), publish-subscribe model
  • API Design: Requirements gathering, API contracts, data modeling
  • Architecture Design: Creating diagrams, analyzing trade-offs and bottlenecks
  • Real-World System Designs: URL Shortener, Chat Application, News Feed, Ride-Hailing (Uber), E-commerce backend
03Stage 3: Distributed Systems and Reliability
  • Distributed Systems Fundamentals: CAP Theorem, PACELC, consistency models
  • Coordination & Consensus: Leader election, Paxos and Raft algorithm
  • Distributed Transactions: Keeping data consistent across multiple servers
  • API Gateways and Microservices Communication
  • Distributed Caching: Using Redis Cluster and similar tools
  • Search Systems: Elasticsearch fundamentals
  • Stream Processing: Kafka, Flink architecture and use cases
  • Cloud Storage Types: Block, Object, and File storage
  • Fault Tolerance and Resilience: Circuit breaker, retry patterns, rate limiting, throttling, chaos engineering, failover strategies, disaster recovery
  • Monitoring and Incident Management: Centralized logging (ELK stack), metrics (Prometheus, Grafana), distributed tracing (Jaeger, Zipkin), alerting, and incident response
04Stage 4: Cloud and Modern Deployment Tools
  • Cloud Computing Basics: Overview of AWS, GCP, Azure
  • Compute Services: EC2, Google Compute Engine introduction
  • Managed Databases: Amazon RDS vs DynamoDB
  • Cloud Networking: VPC, subnets, security essentials
  • Security Basics: IAM and permissions management
  • Containers and Orchestration: Docker basics, Kubernetes fundamentals, Helm charts
  • CI/CD Pipelines: Automating builds and deployments
  • Deployment Strategies: Blue-Green and Canary deployments
  • Large-Scale System Designs: YouTube-like video streaming, Food delivery app, Google Drive-like cloud storage, Distributed search engines

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Frequently Asked Questions

01

Q: Who should take this System Design course?

02

Q: Do I need prior experience to join this course?

03

How hands-on is the course?

04

Will I learn about cloud and deployment tools?