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
Signals: Milestone gates met; measurable result reported; documentation; deployment or evidence reachable; reflective log
- Functionality & requirements30
- Technical quality & architecture25
- Documentation15
- Deployment & evidence15
- Innovation10
- Presentation5
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.