Paths/MLOps Engineer/ML Pipelines / The Training Pipeline
Define the Training Stage
The training stage is where the DAG stops being a plan and starts doing work. Write its definition with the image, the command and the artifacts it consumes and produces.
Validator
⏱ 0:00
IDLE — checks run live as you type commands; submit when done
01Requirements
live checks- Directory ~/pipeline/stages exists○
- File ~/pipeline/stages/train.yaml exists○
- The stage declares its image and its command○
- The stage declares its inputs and its outputs○
02Walkthrough
1 of 5 revealed- 01
Create the stages directory
One file per stage keeps the pipeline inspectable without reading code.
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
↑/↓ recalls commands · Ctrl+Enter submits · type help for the command list