Overview
What this challenge is about.
Across a 5-person team, ship (1) experiment tracking integrated into a sample model training job; (2) a model registry that promotes-by-tag; (3) a training pipeline orchestrated by a workflow tool (Prefect / Dagster / Argo); (4) a monitoring dashboard for one deployed model showing input drift and a target accuracy proxy; (5) a runbook describing the daily and weekly operations. Use a sample fraud-detection model on a public dataset as the test customer. Deploy to a small cloud sandbox. CI gates merges. Produce a 6-page architecture document plus a 30-minute risk-team handover.
The Brief
What you'll do, and what you'll demonstrate.
Ship a v0 MLOps platform slice (tracking, registry, training pipeline, monitoring) for a fintech risk team's next model deployment.
Earning criteria — what you'll demonstrate
- Architect a small but real MLOps platform across multiple components
- Operate an experiment-tracking + model-registry workflow end-to-end
- Implement input-drift and accuracy-proxy monitoring
- Hand a platform off to a domain team with a usable runbook
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
MLOps Engineer
Shipping a platform slice across tracking, registry, orchestration, and monitoring is the literal MLOps engineer job description.
This challenge sharpens
- mlops-design
- experiment-tracking
- monitoring
Machine Learning Engineer
Wiring a model into a registered, monitored pipeline is the MLE's daily craft on production systems.
This challenge sharpens
- model-registry
- ci-cd
- monitoring
AI Solutions Architect
Designing the platform across components and handing it off cleanly is the architect's contribution to a risk-team's quarterly OKR.
This challenge sharpens
- mlops-design
- team-collaboration
- experiment-tracking