AI Engineering Roadmap by CampusX
L14 Projects
Roadmap Frontier & Proof

Phase 6 · Frontier & Proof

Projects

Proof, not concepts. Portfolio builds that compose earlier levels. Ship 3–5 public.

Interview weight 10/10

The biggest factor in getting shortlisted. Without real, deployed projects, a resume from a new AI engineer usually gets no response, and most interview conversations are built around them.

On-the-job weight 6/10

Building end-to-end gives you the instincts the job needs, but once you’re employed, real work replaces portfolio projects.

Modules 7

01 Document Q&A platform P14.1
3
  • Compose L4 with FastAPI and a retrieval eval; deploy publicly.
02 Resume ↔ JD screening agent P14.2
2
  • Demonstrate tool calling and structured output on a real business task.
03 Multi-agent research report system P14.3
3
  • Show LangGraph orchestration and state management (L5).
04 MCP server for a real tool P14.4
2
  • Connect a model to a calendar/CRM/task manager — the 2026 pattern.
05 Monitored production API P14.5
2
  • Tell the ops story: routing, fallback, cost caps, tracing (L10).
06 Voice or multimodal build P14.6
3
  • Ship a realtime voice agent or a vision pipeline (L12).
07 Portfolio & positioning P14.7
1
  • Write projects up, publish to GitHub, record demos, and present the work.

Learn this on CampusX

No direct course mapping yet.

This level has no mapped catalog item yet — CampusX One is still the place to ask questions while you work through it.