New to running a plan-first loop with an agent? Start with Course 0.
From code writer to system thinker. A deep dive into the seven building blocks so you can architect applications with confidence.
After this course, the codebase you just inherited becomes legible. Your team's next feature: you know which blocks it needs and why. The system design interview becomes a structured conversation, not a panic moment. The AI-generated architecture lands on your desk and you can tell whether it is right.
Lifetime access · 100+ engineers already enrolled · Taught at UC Berkeley
Whether you're early in your career, building with AI, or switching into engineering.
"Understand the architecture, not just the features."
You write features but can't explain how the system fits together. When someone asks "why did you use a queue here?" you don't have a clear answer.
"Know why it works, not just that it works."
You ship fast with AI tools but don't understand what was built. When it breaks in production, you're stuck debugging code you can't explain.
"Bridge the gap from coding to production systems."
You can code but haven't worked on production systems. You know syntax but not how real applications are put together at scale.
There's plenty of free content on system design. Here's why this is different.
This course is the reps, and reps come two ways. You study how real systems were solved in the walkthroughs and case study, then design your own in discovery labs, graded designs, and a 3-part challenge that forces you to apply the framework without the cheat sheet.
Try the framework first via the skill → one design, free.
Free resources teach you the concepts. They do not tell you whether you applied them correctly.
Here you submit your designs and get specific feedback on the decisions you made: which ones held up, and which ones a senior engineer would have questioned. This is the foundation course, where you learn to put the seven blocks where they belong before the systems get harder.
20+ years building commercial software. 10+ years teaching at university level. Most practitioners can't teach. Most teachers haven't built.
✓ Lifetime access ✓ 7-day money-back guarantee
This course teaches you the fundamental building blocks that compose every system you'll ever work on - from Instagram to Netflix to Uber to Gmail. These are not technologies that become obsolete. These are universal interface patterns that have existed for 40 years and will exist for the next 40.
This isn't passive video watching. This is experiential learning that creates breakthrough moments through hands-on experimentation, comprehensive assessments, and real-world challenges.
Internalize the universal interface patterns that compose every system. Drill when to use each block, build intuition for their trade-offs, and recognize patterns across different scales until the framework becomes how you think.
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Self-contained Python programs that let you experiment with building blocks in action. Experience the problems first, then discover the solutions through hands-on work.
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for async processing
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for scheduled automation
Validate your transformation with 20 strategic multiple-choice questions plus 5 long-form system design questions. Prove you think architecturally, not just implement code.
Design a social recipe platform from MVP through viral growth to business monetization. Learn what senior engineers know: you evolve systems, you don't rebuild them.
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Discovery Lab - Interactive async processing experiments
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Discovery Lab - Interactive scheduled automation experiments
| Dimension | Technology-Focused Learning | Building Blocks Approach |
|---|---|---|
| Focus | Specific technologies (Redis, Kafka, PostgreSQL) | Universal interface patterns (Key Value Store, Queue, Relational Database) |
| Learning Method | Memorize implementations and syntax | Master pattern recognition and trade-offs |
| Timeline | 3-5 years to develop system thinking | Systematic learning in weeks |
| Hands-On Practice | Watch demos, maybe follow tutorials | Interactive discovery labs with Python experimentation |
| Validation | Generic quizzes on technology features | Comprehensive assessment + 3-part evolution challenge |
| Obsolescence Risk | High - technologies change constantly | Low - interface patterns are timeless |
| AI Relationship | AI handles implementation tasks | Direct AI with architectural understanding |
Systems Thinking in the AI Era is five courses. Course 0 stands on its own as the front door, the framework for directing an AI coding agent. Courses I through IV go together as one bundle, the knowledge to judge whether what the agent builds is good, and Course I is the foundation the other three build on.
Internalize the 7 building blocks + 3 external entities through reps, not reading. Develop pattern recognition, trade-off analysis, and architectural decision-making. Required prerequisite for Courses II-IV.
Apply building blocks to Instagram, Netflix, YouTube patterns. Master read-heavy workloads, caching strategies, CDN patterns for global content delivery.
Case Studies: Blog applications, video streaming platforms, photo galleries, search engines, AI-enhanced semantic search
Learn Slack, Discord, WhatsApp patterns. Master real-time messaging, WebSocket patterns, presence systems, message delivery guarantees.
Case Studies: Social media platforms, collaborative documents, messaging apps, AI chatbots, video conferencing, link shorteners
Master Stripe, Shopify, Salesforce patterns. Learn payment processing, transaction handling, compliance automation, enterprise integration.
Case Studies: Social payment applications, online store platforms, auction marketplaces, dynamic pricing systems
Engineers who know the seven building blocks make better design decisions, communicate them more clearly, and direct an AI agent with confidence, instead of hoping the plan was right.
✓ Lifetime access ✓ 7-day money-back guarantee
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