The AI Engineering Program: Module 13 of 13

Capstone & Career Launch

Deliver an AI project for a real problem end to end, and walk into interviews with proof: portfolio, JD-matched resume and practised answers.

30guided hours
10lessons
Onlineself-paced

Lessons

Every lesson: deep notes, curated lectures, an animated explainer, a hands-on lab, practice questions and a timed exam.

  1. Discovery: turning a business problem into an AI spec
  2. Scoping, estimates and success metrics
  3. Build sprint 1
  4. Build sprint 2 with evals
  5. Deploy and record a demo
  6. Portfolio: GitHub profile, READMEs and a case study
  7. Resume and LinkedIn matched to real job descriptions
  8. Interview preparation: fundamentals, LLM system design and take-home tasks
  9. Mock interviews
  10. IRI Industry Readiness assessment and certificate

Module project

Client-style capstone for a small business, NGO or open dataset of the learner's choice: spec, build, evals, deployment, demo video and case study.