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.

Real-Time Systems: Slack, Discord | Systems Thinking Lab

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

Prerequisites: Course I & II (recommended)

Course Preview

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

Course at a Glance

Case Studies

Video Lessons

Interactive Labs

Comprehensive Assessment

Challenge Parts

Five Progressive Case Studies

Course III explores real-time and communication systems with progressive complexity. You'll master patterns from eventual consistency to hard real-time constraints.

1. Social Media Platform: Eventual Consistency

Building Blocks: Queue + Worker for news feed generation

Learn: Asynchronous processing patterns, feed generation strategies, notification delivery architectures

Fan-out feed generation architectural patterns
Queue-based notification design strategies
Eventual consistency trade-off analysis

Note: We focus on general feed generation patterns and notification architectures, not specific message queue implementations.

2. Collaborative Documents: Real-Time Sync

Building Blocks: Service + real-time patterns + conflict resolution

Learn: Synchronization strategies, concurrent editing architectures (Google Docs-style patterns)

Real-time connection management patterns
Operational transformation design strategies
Concurrent edit conflict resolution approaches

Note: We focus on synchronization patterns and conflict resolution strategies, not specific protocol implementations.

3. Messaging Apps: Instant Communication

Building Blocks: Service + Queue + presence patterns

Learn: Message routing architecture, delivery guarantee strategies, presence design (Slack, WhatsApp-style systems)

Message routing and delivery patterns
Presence detection architectural strategies
Read receipt and typing indicator design

Note: We focus on messaging architecture patterns and delivery strategies, not specific messaging protocols or services.

4. AI Chatbots: Conversational Interfaces

Building Blocks: Service + External Service + Vector DB

Learn: Streaming response patterns, context management strategies, AI-enhanced real-time processing

Streaming response design patterns
Conversation context architectural strategies
Semantic memory integration patterns

Note: We focus on conversational architecture and AI integration patterns, not specific LLM APIs or vector database tools.

5. Video Conferencing: Hard Real-Time Multimedia

Building Blocks: Service + real-time streaming patterns

Learn: Hard real-time constraint strategies, adaptive quality patterns (Zoom-style architectures)

Peer-to-peer connection design patterns
Adaptive bitrate streaming strategies
Latency optimization architectural approaches

Note: We focus on real-time multimedia architecture and latency strategies, not specific streaming protocol 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 hold up under real-time load is the part that takes reps, and reps come two ways. You study how Slack, Discord, and WhatsApp 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 latency and delivery 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. In real-time systems, those are exactly the decisions that separate a demo from something that does not buckle when everyone shows up at once.

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 Real-Time Systems Domain Expertise Matters

Real-time systems power modern collaboration: Slack's messaging, Discord's voice chat, Google Docs' collaborative editing, Zoom's video conferencing. Understanding real-time patterns gives you architectural fluency in communication and collaboration systems.

What You'll Master

WebSocket patterns: Bi-directional real-time communication, connection management, presence systems
Message delivery: Routing algorithms, delivery guarantees, read receipts, typing indicators
Concurrent editing: Operational transformation, conflict resolution, synchronization strategies
Low-latency optimization: Sub-millisecond responses, geographic distribution, caching strategies
Hard real-time constraints: WebRTC patterns, adaptive quality, multimedia streaming

These patterns apply whether you're building a chat app, collaborative editor, video platform, or AI assistant. Master real-time systems, and you'll have architectural expertise in communication and collaboration domains.

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 Foundation)

Master the 7 building blocks + 3 external entities. Develop pattern recognition, trade-off analysis, and architectural decision-making.

✅ Course II: Content Systems (Recommended Before Course III)

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

📍 Course III: Real-Time Systems (This Course)

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, II, 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.