AdvancedSoftware trackUS-CP-02
LLM Evaluation & Safety Harness
Golden datasets, LLM-as-judge scoring, adversarial red-teaming and CI merge gates for an LLM feature.
10 Guided Steps480h Internship TierSubmit: GitHub repo or evidence pack + live demo / report + README + milestone logbookVerified CertificateAI Rubric Graded
Program Overview
Golden datasets, LLM-as-judge scoring, adversarial red-teaming and CI merge gates for an LLM feature.
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
480-hour United States programme. Evaluation is the scarcest skill in the AI stack and the hardest to fake in an interview.
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.