Your MLOps Maturity Checklist
Spot which level a team is at, from manual to fully automated.
Your MLOps Maturity Checklist is a free MLOps Academy lesson on CoddyKit — lesson 4 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the MLOps Academy learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
How Mature Are You
MLOps maturity is a ladder from fully manual to fully automated. Knowing your rung tells you exactly what to improve next. 📊
Level 0: Manual
At Level 0 everything is by hand: notebooks, manual training, and deploys done by copying files. It works, until it suddenly does not.
The Pain of Level 0
Manual means slow, fragile, and unrepeatable. One person leaves and the model becomes a mystery nobody can rebuild.
Level 1: Automated Training
At Level 1 the training pipeline is automated. You can retrain on new data with a command, not a week of manual steps.
Level 2: CI/CD
At Level 2 you add CI/CD: code and models are tested and deployed automatically on every change, with humans only approving.
Check: Versioning
First checklist item: can you version your data, code, and model together, so any past result can be rebuilt exactly?
Check: Automated Tests
Next: do you have automated tests for data and models? Tests catch broken pipelines before they ever reach production.
Check: Monitoring
Then: are live models monitored? If you cannot see accuracy or drift in production, you are flying blind after deploy.
Check: Reproducibility
Also: is a run reproducible? Pinned environments and seeds mean the same inputs always give the same model, anywhere.
Higher Is Not Always Better
You do not need full automation on day one. Match your maturity to your needs; a tiny project rarely justifies a Kubernetes cluster.
One Step at a Time
Climb the ladder gradually. Pick the weakest checklist item and fix that first, rather than rebuilding everything at once.
Quick Check
Let us place a team on the MLOps maturity ladder.
Recap
Maturity runs from manual to automated, and the checklist shows where to climb: versioning, tests, monitoring, reproducibility. Improve one rung at a time. 🪜
Frequently asked questions
Is the “Your MLOps Maturity Checklist” lesson free?
Yes — the full text of “Your MLOps Maturity Checklist” is free to read here on the web, and the MLOps Academy course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the MLOps Academy course, upgrade to CoddyKit PRO.
What will I learn in “Your MLOps Maturity Checklist”?
Spot which level a team is at, from manual to fully automated. You practise MLOps Academy with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start MLOps Academy?
No prior experience is required. MLOps Academy on CoddyKit is structured for beginners through advanced learners; this is — lesson 4 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “Your MLOps Maturity Checklist” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this MLOps Academy lesson?
Yes. Every MLOps Academy lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- MLOps vs Plain Machine Learning
- The ML Lifecycle in One Picture
- Who Does What: Roles in an ML Team
- Your MLOps Maturity Checklist