What is Systems Thinking in the AI Era?

Systems Thinking in the AI Era is a five-course series, Course 0 plus Courses I-IV, for developers who already write code and want to make the architectural calls an AI agent cannot. Course 0 teaches the workflow of commanding an AI agent on real work. Courses I-IV teach the 7 universal building blocks and 3 external entities through discovery labs, case studies, and system design challenges.

How many courses are in the series?

Systems Thinking in the AI Era has five courses: Course 0 (Command the Agents), Course I (The Universal Building Blocks), Course II (Content Systems), Course III (Real-Time Systems), and Course IV (Business & Transaction Systems). Course 0 is sold separately, and Courses I-IV are sold together as one bundle.

What are the 7 universal building blocks?

The 7 universal building blocks are: Service (request/response), Worker (background processing), Key-Value Store (caching), File Store (media storage), Queue (messaging), Relational Database (structured data), and Vector Database (AI/similarity search). These interface patterns power Instagram, Netflix, Uber, Gmail, and every system you use daily.

How does system thinking help me work with AI?

AI writes the code. The judgment to know which system to build, and whether the AI got it right, is what this series builds, through the 7 building blocks.

How much does the course series cost?

Course 0 of Systems Thinking in the AI Era costs $99, and the Courses I-IV bundle costs $299. Courses I-IV are not sold as individual courses. Separate from the paid courses, the building-block articles, the video series, and the Scaffold skill are free.

Do I need programming experience?

Yes, you should be comfortable reading and understanding code. The course focuses on system design and architectural thinking rather than teaching programming fundamentals. If you can implement features but struggle with architectural decisions like 'How would you design Instagram?', this course is perfect for you.

How much time does Course I take to complete?

Course I of Systems Thinking in the AI Era takes 10 weeks at 1-2 hours a week. Course I includes 8 video lessons, 2 interactive Python labs, a case study, feedback on your answers, and a 3-part system design challenge. Course I is part of the Courses I-IV bundle and is self-paced, and everything stays accessible.

Who is the instructor?

Kay Ashaolu is a Continuing Lecturer at UC Berkeley School of Information with 10+ years teaching experience, and an Engineering Manager with 15+ years industry experience at AncestryDNA and Morgan Stanley. He holds degrees from Princeton University (B.S.E. Electrical Engineering) and UC Berkeley (M.I.M.S.). His research focuses on accelerating professional growth for early-career software engineers.

Content Systems: Instagram, Netflix

Name: Systems Thinking in the AI Era
Price: 299 USD
Availability: InStock

Prerequisite: Course I: Universal Building Blocks (recommended)

Course Preview

See it applied: the Course II case study video(s) →

Course at a Glance

Case Studies

Video Lessons

Interactive Labs

Comprehensive Assessment

Challenge Parts

Five Progressive Case Studies

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.

1. Blog Application: Foundation Patterns

Building Blocks: Service + Relational DB + Key Value Store

Learn: Content delivery patterns, read-heavy optimization strategies, caching for performance

Article storage and retrieval architectural patterns
Comment threading with relational data design
Read-heavy optimization through caching strategies

Note: We focus on general architectural considerations and universal patterns, not specific database implementations or caching technologies.

2. Video Streaming Platform: Complex Media

Building Blocks: File Store + Queue + Worker + CDN patterns

Learn: Media processing workflows, adaptive delivery strategies, global distribution patterns (Netflix-style architectures)

Multi-format processing workflow design
Asynchronous media processing patterns
Global content distribution strategies

Note: We focus on architectural patterns and design considerations, not specific transcoding tools or CDN providers.

3. Photo Gallery: User-Generated Content

Building Blocks: Service + File Store + Queue + Worker

Learn: Upload workflow design, variant generation patterns, content moderation architectures (Instagram-style systems)

Scalable upload processing design
Image variant generation workflows
Content moderation pipeline patterns

Note: We focus on architectural decisions and workflow patterns, not specific image processing libraries or storage services.

4. Search Engine: Information Retrieval

Building Blocks: Service + Relational DB + Key Value Store

Learn: Search architecture patterns, ranking algorithm strategies, query optimization approaches

Index design and maintenance patterns
Relevance ranking architectural strategies
Query performance optimization patterns

Note: We focus on search architecture and ranking strategies, not specific search engines or indexing technologies.

5. AI-Enhanced Search: Semantic Retrieval

Building Blocks: Service + Vector DB + External Service

Learn: Embedding workflow design, similarity search patterns, AI-powered recommendation architectures

Vector embedding workflow patterns
Semantic similarity architecture
AI integration design patterns

Note: We focus on AI integration patterns and semantic search architecture, not specific AI models or vector database implementations.

Why This Course Series?

There's plenty of free content on system design. Here's why this is different.

The Framework Is Free. The Judgment Is Earned.

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.

Feedback On Your Design Decisions

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.

A Rare Combination

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.

Let's Talk About Value

What others charge:

Interview prep courses: $500–$2,000
Bootcamps: $10,000–$20,000
1-on-1 coaching: $200/hour

What this course series gives you:

Complete framework across 4 domains
AI feedback on your work
Portfolio-ready design challenges

✓ Lifetime access ✓ 30-day money-back guarantee

Why Content Systems Domain Expertise Matters

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.

What You'll Master

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.

Your Learning Path in the Course Series

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.

✅ Course I: Universal Building Blocks (Recommended Prerequisite)

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.

📍 Course II: Content Systems (This Course)

Apply building blocks to Instagram, Netflix, YouTube patterns. Master read-heavy workloads, caching strategies, media processing, and global content delivery.

🔜 Course III: Real-Time Systems (After Course II)

Learn Slack, Discord, WhatsApp patterns. Master real-time messaging, WebSocket patterns, presence systems, and low-latency communication.

🔜 Course IV: Business & Transaction Systems (After Course III)

Master Stripe, Shopify, Salesforce patterns. Learn payment processing, transaction handling, compliance automation, and enterprise integration.

Start Anywhere

Course I, III, and IV are all live now too, plus Course 0's plan-first workflow. Get all four courses as one bundle.

Every course stands on its own. No sequence, no lock.