Knowledge-grounded incident diagnosis (RAG)

Overview

Track: AIOps Lab Reference: REF-AIOPS01

A final-year internship (PFE) project within UPTech's AIOps Lab. The document lists the project title only; no detailed single-subject page is provided. The internship is part of the 2027 PFE program and follows the UPTech delivery and evaluation process described in the PFE Book.

Project

Knowledge-grounded incident diagnosis (RAG)

(No additional project objectives or technical details are provided in the book beyond the title.)

Program context & expectations

• Hybrid mode (remote and office when needed).
• Duration: 3–6 months, starting February 2027.
• The internship is unpaid.
• UPTech works in 8 two-week sprints with continuous delivery: charter & DoD in weeks 1–2, first production version by week 4, pilot with real users by week 8, production go-live by week 12, then measurement and hand-over (weeks 13–17).
• Deliverables include documentation-first approach (LaTeX report from week 1) and sprint-by-sprint growth.
• AI-friendly onboarding in week 1 and frequent premium mentoring.

Application process (shared)

• Apply through the web form only and choose this project (REF-AIOPS01).
• Deadline: 25 November 2026.
• End of November: receive a short mission by e-mail and reply within 7 days.
• December: interview for shortlisted candidates.
• February 2027: start the internship.
• Applications sent by e-mail or LinkedIn are not considered.

Notes

Only the project title and reference are provided in the source. Technical scope, objectives, required skills and application documents are not specified in the book for this specific subject.