System Design Patterns: From Fundamentals to Real Systems

What the course covers

The course page lists 12 modules, 93 lessons and 764 assessments, with about 20 hours of study time at beginner level. It was published in June 2026.

1. Thinking in patterns: foundations, including a five-question method for turning a blank whiteboard into a design
2. Moving data: communication patterns
3. Storing data: storage and replication
4. Serving data fast: caching
5. Surviving failure: timeouts, retries, idempotency and graceful degradation
6. Growing under load: scaling from one server to a million requests per second, and knowing what not to build yet
7. Keeping data consistent: replication, sharding, distributed transactions and exactly-once processing
8. The entry point: API and edge patterns
9. Operating in production: observability and delivery
10. Data-intensive systems: batch and streaming
11. AI-era systems: LLM gateways, semantic caching, RAG pipelines and GPU scaling
12. Capstones: four full designs showing how the patterns combine

Each lesson opens with a real system in trouble, shows why the obvious fixes fail, and then builds the pattern with plain language, everyday analogies, worked numbers and honest trade-offs. Every lesson ends with a 30-second explanation you can memorise and a self-check.

Ratings and learners

As of September 2026 the course page shows a rating of 4.8 out of 5 from 1,449 ratings and 5,941 learners, and it was updated within the last month.

Why patterns beat memorised designs

Every large system is an arrangement of a modest number of ideas. Once you can name and apply them, an unfamiliar design question becomes a matter of choosing the right patterns rather than inventing from scratch. The course's back-of-the-envelope sections also train you to catch order-of-magnitude mistakes in seconds.

How to get the most from it

• Follow the store story in order. Each module builds on the previous stage of growth.
• Say each 30-second explanation out loud at the end of the lesson. If you cannot, reread the trade-offs.
• After each module, find one real system that uses the pattern and read a short description of how. Attaching a pattern to a concrete system makes it memorable.
• Treat the capstones as practice: attempt each design before reading the solution.
• Plan three to four weeks at an hour a day.

What you will be able to do afterwards

Recognise the patterns in any architecture, choose between them with clear reasons, estimate whether a design is in the right order of magnitude, and design AI-era infrastructure such as LLM gateways and retrieval pipelines alongside classic web systems.

Where it fits

The course suggests starting here if you are new to system design, or if you are a data or AI engineer building foundations, and then taking Grokking the System Design Interview to apply the patterns to classic questions. The free Grokking System Design repository on GitHub lists the same pattern families for quick reference.

Buying and access

The course is paid: you can buy it once for lifetime access, or get it as part of an all-access subscription covering more than 40 courses. Prices shown depend on your region and current offers, so check the course page. A free preview lets you read the opening lessons first, and a certificate is issued on completion.

Common questions

Do I need distributed systems background? No. The course page says that if you know what a server and a database are, you are ready.

How many patterns does it cover? More than 60, across 12 modules.

Does it cover AI infrastructure? Yes, a full module on LLM and ML infrastructure.

Best for: beginners and data or AI engineers who want to learn system design as a set of reusable patterns.