What does CD mean for machine learning models?
PICTURE THIS: 1, 2, 2, 8
Simple meaning
CD is the path from a successful training run to a safely released model, often through staging, shadow, or canary.
WHY — CI/CD for ML instead of guessing?
Why interviewers care about CI/CD for ML:
separate people who only read docs from people who shipped.
and tied to MLOps work.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1CD is the path
from a successful training run to a safely released model, often through staging, shadow, or canary.
- 2It should be automated
but gated on metrics and approvals.
- 3Interviewers want you to
say you do not copy a file to prod by hand.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
CD is the path from a successful training run to a safely released model, often through staging, shadow, or canary. It should be automated but gated on metrics and approvals.