Real-World Case Studies & Capstone
Production architectures, industry patterns, and building your final system end-to-end
Session Topics
Production Architecture Patterns
Case studies from hiring tech, legal AI, healthcare AI, and e-commerce recommendation — what works in production and what fails.
Recommendation Systems
Collaborative filtering, content-based filtering, and hybrid AI recommendation — from Netflix to LinkedIn job suggestions.
Autonomous System Design
End-to-end autonomous AI pipelines: data ingestion, processing, decision-making, action execution, monitoring, and human handoff.
Capstone Project
Design and present your complete hiring AI system — integrating everything from Sessions 1–11 into a production-ready architecture.
The Road Ahead
AI trends to watch: multimodal agents, reasoning models, AI infrastructure, and where the industry is heading in the next 2–3 years.
Build End-to-End Hiring AI System (Capstone)
Design a complete, production-ready hiring AI system using everything from Sessions 1–12. Move from concept to deployment. Design every layer: architecture, data pipeline, model selection, evaluation framework, deployment strategy, monitoring, scaling, and safety audit. This is your capstone — make it real.
A complete end-to-end hiring AI system design document or working prototype, presented to the cohort.
Key Takeaways
- Production AI is a system — every component must work together reliably
- The best architecture is the simplest one that meets your requirements
- AI literacy is now a core competency for every software professional
- What you've built in 12 sessions is what takes teams months without this foundation