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System Design & Scaling Guide
Master architectural thinking for AI systems: scaling strategies, reliability patterns, integration patterns (webhooks, event-driven, MCP), real-world channels (Slack/Discord), and performance vs cost trade-offs. This synthesis guide connects everything you've learned—Docker, CI/CD, deployment, monitoring, cost optimization, security—and teaches you to DESIGN production-ready systems. Culminates with the complete architecture design for the Capstone: AI-Powered Knowledge Assistant with Agentic RAG and Slack/Discord integration.
- 64
- lessons
- 8
- modules
- English · Spanish
- available in
- Free
- access
Outcomes
What you'll be able to do
- Apply architectural thinking specific to AI systems (constraints, trade-offs, design documents)
- Compare and choose between monolith, microservices, and event-driven architectures for AI
- Design scaling strategies: horizontal vs vertical, auto-scaling, stateless design
- Implement integration patterns: webhooks, event-driven, MCP (Model Context Protocol)
- Design reliability at scale: load balancing, queue-based processing, rate limiting
- Design Slack and Discord bots as production channels (OAuth, webhooks, best practices)
- Apply decision frameworks for performance vs cost, managed vs self-hosted, cache vs compute
- Design the complete architecture for the Capstone: AI-Powered Knowledge Assistant
Before you start
What you need to bring
It's for you if...
- AI Engineers who completed guides #1-#20 and need to learn system design thinking
- Developers preparing for the Capstone who want the architecture blueprint first
- Tech leads and architects designing AI systems for their teams
- Engineers who want to make informed decisions about scaling, integrations, and trade-offs
- Developers seeking portfolio-worthy architecture design documents
Requirements and materials
- Completion of AI Engineering Path guides #1-#20 (Docker, CI/CD, Deployment, Monitoring, Cost Optimization, Security)
- Experience deploying and monitoring AI applications
- Understanding of RAG, agents, and production patterns
- Familiarity with REST APIs, webhooks, and async patterns
- Basic experience with architecture diagrams (or willingness to learn)
Content
The syllabus, module by module
Open any of them to see its lessons.
Where it fits
This guide is part of something bigger
It's studied inside these programs, with support and dates.
Common questions
What people usually ask
No limit. It's a free guide: come in whenever you like, as often as you like.
No. Modules run from easier to harder, but you can jump to the one you need. Progress is saved per lesson.
Whatever is needed is listed under “What you need to bring”, above. If nothing is listed there, you can start from zero.
In the Club's WhatsApp group, and every two weeks there's a live with an instructor where questions get worked through.
No. This guide is self-paced with no dates. The bootcamp is live, by cohort, with work someone reviews.
Start whenever you like
What students say
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