AI will write the code for a read-heavy system in seconds. The skill that lasts is knowing whether the design is right: which of the seven building blocks a feed, a video library, or a search index actually needs, and why. This course builds that judgment on the systems behind Instagram, Netflix, and YouTube.
Apply the seven building blocks from Course I to the hardest read-heavy systems in the world. You will study how Instagram, Netflix, and YouTube were designed across 5 progressive case studies, from a simple blog to semantic search, so the patterns behind every content platform you use become second nature.
7-day money-back guarantee · Lifetime access
Prerequisite: Course I: Universal Building Blocks (required)
Course II takes you through progressively complex content systems, each building on the last. You'll see how the same building blocks combine differently to solve distinct content challenges.
Building Blocks:
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Learn: Content delivery patterns, read-heavy optimization strategies, caching for performance
Note: We focus on general architectural considerations and universal patterns, not specific database implementations or caching technologies.
Building Blocks:
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+ CDN patterns
Learn: Media processing workflows, adaptive delivery strategies, global distribution patterns (Netflix-style architectures)
Note: We focus on architectural patterns and design considerations, not specific transcoding tools or CDN providers.
Building Blocks:
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Learn: Upload workflow design, variant generation patterns, content moderation architectures (Instagram-style systems)
Note: We focus on architectural decisions and workflow patterns, not specific image processing libraries or storage services.
Building Blocks:
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Learn: Search architecture patterns, ranking algorithm strategies, query optimization approaches
Note: We focus on search architecture and ranking strategies, not specific search engines or indexing technologies.
Building Blocks:
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Learn: Embedding workflow design, similarity search patterns, AI-powered recommendation architectures
Note: We focus on AI integration patterns and semantic search architecture, not specific AI models or vector database implementations.
There's plenty of free content on system design. Here's why this is different.
The seven building blocks are free to learn. Knowing which ones a real content system needs is the part that takes reps, and reps come two ways. You study how Instagram, Netflix, and YouTube were designed across five progressive case studies. Then you get hands-on practice designing your own systems, in graded designs and a three-part challenge where you make every architectural decision yourself, with no walkthrough to lean on.
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. That is the difference between knowing the seven blocks and knowing where to put them.
20+ years building commercial software at scale.
10+ years teaching at the university level.
Most practitioners can't teach. Most teachers haven't built.
This course is designed by someone who's done both.
What others charge:
What this course series gives you:
Start with Course I for $99. Build your foundation first.
Content, labs, assessments, and challenges are live. $35 off until the videos are recorded.
Early-bird discount while videos are in production
✓ Lifetime access ✓ 7-day money-back guarantee
Course II requires completing Course I first.
Course I is self-paced. Start any time, take it on your schedule.
7-day money-back guarantee on Course I
Content systems power every platform you use: Instagram's photo feeds, Netflix's video delivery, YouTube's recommendation engine, Medium's article platform. Understanding content patterns gives you architectural fluency across the most common system type. Want a preview? See how Instagram actually works, traced through the same building blocks this course is built on.
Read-heavy optimization: Caching strategies, CDN patterns, database query optimization for content delivery
Media processing workflows: Async transcoding, format conversion, thumbnail generation at scale
Search and retrieval: Full-text search, ranking algorithms, vector similarity for AI-enhanced discovery
Content moderation: Queue-based processing, worker patterns for automated and manual review
Global delivery: CDN integration, geographic distribution, edge caching strategies
These patterns apply whether you're building a blog, video platform, photo gallery, or AI-powered content discovery system. Master content systems, and you'll have architectural expertise in the most common domain.
Systems Thinking in the AI Era is a 4-course comprehensive transformation program. Each course builds on the previous, developing complete pattern recognition across all system domains.
Master the 7 building blocks + 3 external entities. Develop pattern recognition, trade-off analysis, and architectural decision-making. Complete this course before starting Course II.
Apply building blocks to Instagram, Netflix, YouTube patterns. Master read-heavy workloads, caching strategies, media processing, and global content delivery.
Learn Slack, Discord, WhatsApp patterns. Master real-time messaging, WebSocket patterns, presence systems, and low-latency communication.
Master Stripe, Shopify, Salesforce patterns. Learn payment processing, transaction handling, compliance automation, and enterprise integration.
Course II will be available soon. Start your transformation with Course I: Universal Building Blocks to establish your foundation in system thinking.
Start with Course IMaster the universal building blocks first, then unlock domain-specific expertise
