Advanced

Eval Regression Suites and CI Gates

An eval you run once before launch is a report. An eval that runs on every prompt, tool and model change and can block a deploy is a test suite, and it is the only mechanism that stops an AI system quietly getting worse over months of small edits nobody thought were risky.

Get full Premium access · ₹2,000 / $25

Every answer, concept and course, all hands-on FDE Lab missions, Premium PDF guides and companion files, the full practice-test bank and work-sample downloads. Referral Premium excludes guide PDFs and their companion files.

6 months · One payment · No auto-renewal

Study alongside free video lessons.

RELATED CONCEPTS

Golden Datasets and Eval Sets LLM-as-a-Judge Offline vs Online Evaluation Agentic Evals: Grading the Trajectory, Not the Answer Model Versioning and Migration

LESSONS THAT TEACH THIS

Production AI Agents for FDEsRead an agent evaluation without losing the failures22 min→Production AI Agents for FDEsLab: build a baseline you can reproduce45 min→The FDE EngagementAn evaluation becomes a harness the day it can block a release24 min→

PRACTICE THIS IN REAL QUESTIONS

MLOps & ML EngineeringHow is CI/CD for ML models different from traditional DevOps CI/CD?→ML System Design (Product)Design an evaluation framework for an ads-ranking system.→RAG & Agent System DesignWhen is an agent the wrong answer? Argue against building one.→ML Infrastructure & GPUsExplain memory coalescing and shared-memory bank conflicts. How would you fix a kernel that has both?→ML System Design (Product)Predict watch time for items in a video catalog, Netflix-style. How do you build it?→System Design & Production EngineeringIt's Friday evening at a customer site and they want a hotfix shipped now. How do you do it safely, and when do you refuse?→