Paths/MLOps Engineer/ML Pipelines / The Training Pipeline
Publish the Model Artifact
A trained model is not a deliverable until it is stored, signed and checked. Write the publish stage that does all three.
Validator
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IDLE — checks run live as you type commands; submit when done
01Requirements
live checks- File ~/pipeline/stages/publish.yaml exists○
- The stage uploads the model artifact○
- The stage records the data and code versions○
- The stage runs a validation step before publishing○
02Walkthrough
1 of 5 revealed- 01
Create the stages directory
The publish stage lives next to the training stage it follows.
mkdir -p ~/pipeline/stages - 4 locked · each failed submit reveals one
03Stuck?
0 of 3 revealedTake a hint without losing the lab — each one points at the thing to look at, not at the answer.
04AI Tutor
guides, never solvesTell me what you're stuck on — I'll nudge, not solve. Which requirement are you looking at?
04Notebook
saved locally in this browserlearner@lab — ubuntu:24.04
Session is disposable
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