Artificial Intelligence • Interactive Module

Module 24: Final AI Engineering Capstone

Build and deploy an enterprise AI Technical Interview Platform: end-to-end full-stack AI system, hybrid RAG with pgvector, server-authoritative 7-state machine, streaming voice with Silero VAD and barge-in, Pydantic rubric validation, golden evaluation datasets, and technical viva defense.

Concept Overview & Direct Technical Answer

Direct Definition: Build and deploy an enterprise AI Technical Interview Platform: end-to-end full-stack AI system, hybrid RAG with pgvector, server-authoritative 7-state machine, streaming voice with Silero VAD and barge-in, Pydantic rubric validation, golden evaluation datasets, and technical viva defense.

Core Engineering Competencies

  • Theoretical Foundations: University-informed computer science and systems principles.
  • Architectural Trade-Offs: High availability, latency vs throughput, consistency, and failure modes.
  • Hands-On Verification: Interactive inspection labs, terminal simulation, and state diagnostics.
  • Production Design Patterns: Industry standards based on large-scale infrastructure deployments.

Source & Citation Reference

Published by PrepSpaces (Technical Learning Platform). Canonical URL: https://prepspaces.com/learning/ai/final-capstone. Free, open curriculum for software engineers, systems practitioners, and interview candidates.