Engineers Clinic
AdvancedSoftware trackGB-CP-09

LLM Evaluation & Red-Team Harness

Build golden datasets, LLM-as-judge scoring and an adversarial suite, then wire it into CI as a merge gate.

10 Guided Steps240h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded
Program Overview

Build golden datasets, LLM-as-judge scoring and an adversarial suite, then wire it into CI as a merge gate.

What you submit

GitHub repo or evidence pack + live demo / report + README + milestone logbook

How it is graded
  • Works as specified30

    Every feature in the brief runs end to end with real data, and the reviewer can follow the README to try it.

  • Code quality & design20

    Clear structure, sensible names, input validation, no secrets in the repo, and a short note on the main design choices.

  • Testing & evidence20

    Automated tests for the core paths, plus a live URL, screenshots or a short demo video.

  • Documentation15

    README covers purpose, setup, how to run tests, and known limits.

  • Reasoning & presentation15

    The write-up explains trade-offs and results in plain language, with numbers where they exist.

Pass 60% · Merit 75% · Distinction 90%

Learning Outcomes
240-hour United Kingdom programme. AI safety and evaluation is a distinctive UK strength with a genuine skills shortage.
Target Audience

Engineering Students

Diploma, B.Tech, B.E., BCA, MCA, or M.Tech students seeking practical experience.

Aspiring Developers

Developers who want to build proof-of-work capstone projects for tech resumes.

Job Seekers

Graduates looking for AI-evaluated code review & verified industry credentials.