Educative - Deep Dive into System Design Interview

System design is fundamental to building scalable systems, a core skill required for all software engineers. Your understanding of system design will determine your engineering level. This path follows the bottom-up approach and contains the foundational components a software engineer needs to prepare for the system design interview. Start with a quick refresher on the distributed systems, building blocks, and web architectures. You will learn the RESHADED pattern to design large-scale systems like Netflix, Facebook, Quora, etc. Ultimately, a machine learning system design module will prepare you with best practices to design, develop, and integrate machine learning models in production at scale.

Learning Objectives

• Review basic concepts of distributed system design.
• Get an overview of the buidling blocks required to design a system.
• Apply machine learning models to modern software systems.
• Learn software architecture fundamentals.
• Practice your system design skills.

Path Content

Module 1 - Software Architecture in Applications

Get a brief overview of the architectural components involved in designing scalable applications and systems.

Module 2 - Distributed Systems

Take a quick refresher on the essentials of distributed systems, including core concepts and theorems.

Module 3 - System Design Essentials

Review system design fundamentals, including abstraction and non-functional characteristics in designing modern systems.

Module 4 - Basic Building Blocks for Modern System Design

Take a quick refresher on the building blocks of modern systems, each component of which is a completely scalable application.

Module 5 - Design Problems

Brush up your system design skills by designing real-world software systems using the RESHADED approach.

Module 6 - Machine Learning System Design

Understand model techniques along with the best practices in applying ML models in production at scale.