This course gives you a clear way to think about software systems. You learn a simple set of ideas that you can use to design almost any digital platform. These ideas work for social apps, streaming tools, and AI systems. The course is based on seven core building blocks taught for years at the UC Berkeley School of Information.
What You Learn
System design stops feeling like guesswork. You will not freeze when someone says “design Instagram.” You will guide the talk. You will explain your architecture, defend your choices, and reason about trade‑offs. You will also know how to use AI tools during system design work.
Who This Course Helps
Software engineers learn how to answer system design questions in a clear and steady way. No more random picks of tools.
Data scientists and ML engineers see the full setup around models. A model is only one part. You learn where the real scaling work happens.
Bootcamp graduates bridge the gap between building CRUD apps and shaping systems that support large user loads.
The Seven Building Blocks
The course uses a universal framework that does not depend on a single tool. You do not study Redis or Kafka in isolation. You learn a shared language of system design built from seven long‑lasting blocks. These blocks appear in most modern systems and stay useful even when tools change.
Task Processing
These blocks handle work. You learn about services that answer requests and workers that run long or background tasks.
Data Storage
These blocks keep and move data. They include:
- key‑value stores for fast lookups and caching,
- file stores for media and CDNs,
- message queues for task flow,
- relational databases for structured data and strong rules,
- vector databases for search and embeddings in AI systems.
External Entities
These are things you do not control but must plan for. They include users, outside services like payment APIs, and time events that trigger tasks.
How the Course Is Built
The course has 15 learning parts. You start with the basics of system thinking and the shared language of blocks. You see how these ideas map to Python and real tools.
Labs show how async systems work. You build setups with queues and workers. You also learn how time events drive jobs and automation.
One module looks at users, third‑party services, and time. You see how each one shapes the system.
Advanced Topics
You study trade‑offs and how to choose between designs. You learn patterns that appear when blocks work together. You also walk through the design of a URL shortener and carry out a full review of its parts. At the end, you take a final test with detailed questions.
System Design Challenge
The course ends with a hands‑on challenge in three steps:
- You design a small recipe platform.
- You scale it while its user base grows fast.
- You add monetization and update the architecture to handle new needs.
What You Gain
You finish with a steady way to design software systems. You can explain complex setups with ease. You gain a shared language that works for any modern product, from social apps to AI platforms.
