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build these to get hired

A curated map of the course's ~19 projects into a build-to-get-hired narrative: pick 3 that show range, make each portfolio-ready, and prove you can build.

🗂️ Project guide~19 projects curated🎯 All levels
Build these to get hiredTalk is cheap; a portfolio proves you can build. These projects (the course capstones) each demonstrate real, employable skills. Pick 3 that show range, make each portfolio-ready (README + tests + deploy — see CR1), and you have concrete proof for your resume and interviews.

Flagship AI projects

ProjectDemonstrates
End-to-End Agentic Systemthe whole LLM stack, integrated
Production RAG Platform (AWS)RAG + cloud + IaC + monitoring
Document RAG / Agentic RAGretrieval systems
Custom MCP Servertool/protocol engineering
Support Agent + Guardrailssafety-aware agents

Engineering-fundamentals projects

ProjectDemonstrates
System Design capstonedesigning systems (URL shortener/feed)
Professional repo setupGit, packaging, CI — clean engineering
Test suite for real codetesting discipline + coverage + CI
Containerize & ship an appDocker + CI/CD + deploy + rollback
Agent workbenchClaude Code + Skills + subagents + MCP

How to choose your 3

A strong 3-project portfolio

  1. One flagship that proves depth in your target role (e.g. the RAG platform for AI eng).
  2. One full-stack-engineering project showing tests + CI + deploy (proves you ship, not just prototype).
  3. One you chose — a variation or your own idea — showing initiative and interest.
  4. For each: a README leading with impact, a demo/screenshots, and the engineering signals (tests, CI, clean history).
Depth over quantityThree polished, deployed, well-documented projects beat ten half-finished tutorials. A hiring manager skims — make the first impression (README + demo) prove competence in 30 seconds. Then CR1 shows how to present them.

Then

Present these on your resume and in interviews via the Career & Interview Prep track, and plan your search with the launch capstone.

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