Knowledge becomes a career the day you ship. In the final module you turn everything you have learned into a real, deployed AI product — with the streaming, guardrails and observability that separate demos from software.
Interviews are won by things you can show. Every graduate finishes this module with a working AI application — designed, built, evaluated and deployed by their own hands — ready to demo anywhere, including at Bonami Software.
This is the module where you stop feeling like a student and start working like an engineer.
Architecting a real AI application: where the model sits, where retrieval and agents fit, and how the pieces talk to each other cleanly.
Token-by-token streaming done right — responsive interfaces, partial results and cancellation, so your app feels alive instead of frozen.
Input validation, output filtering, prompt-injection defense and sensible fallbacks — protecting your users and your product.
Evals that catch regressions before users do, plus tracing and logging so you can see exactly what your AI did and why.
The deployment stack: serving models behind FastAPI, building interfaces in Streamlit, and containerizing everything with Docker.
Cost, latency and reliability as first-class design constraints — budgeting tokens, caching aggressively and degrading gracefully under load.
One path, five modules, and at the end — a deployed AI product with your name on it. Applications are open.