MLOps Maturity Levels: A Roadmap from Level 0 to 4
MLOps maturity determines how fast and reliably your models reach production. The levels in Microsoft's and Google's models, what characterises each level and the next step.
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Technical Teams
MLOps: Taking Models to Production
CI/CD, model versioning, monitoring and data drift, plus LLMOps for LLM applications: keeping models reliable in production.
- 3 days
- Software, data and infrastructure teams
- On-site or online
- Certificate of attendance
What you will learn
- Take a model from prototype to production
- Set up experiment tracking, model registry and versioning
- Build a CI/CD pipeline for model training and deployment
- Monitor models and LLM applications in production and detect data drift
Course content
- What is MLOps? Maturity levels and core components
- Experiment tracking, model registry and versioning (e.g. MLflow)
- Serving models and CI/CD: APIs, containers and batch scoring
- Monitoring, data drift and retraining
- LLMOps: tracing, prompt versioning and evaluation with LLM-as-a-judge
Who should attend
- ML engineers and data scientists
- DevOps and platform teams
- AI team leads
Prerequisites
Python and basic machine learning knowledge.
Course content is tailored to your organisation's needs. All programmes can be delivered on-site at your premises or online. Participants who complete a programme receive a certificate of attendance.
Frequently Asked Questions
Which tools are used?
Widely used open-source tools such as MLflow for experiment tracking and model registry, plus container and CI/CD tooling. Tools can be adapted to your existing infrastructure.
Cloud or on-premise?
The principles apply to both; exercises are built for the environment you prefer.
Does it apply to LLM applications?
Yes. It also covers LLMOps topics such as prompt versioning and evaluation with LLM-as-a-judge.
Can we assess our team's level beforehand?
Yes. Taking the free MLOps Maturity Assessment before the training helps us tailor the content to your team.
Free assessment · 4 min
Start now
MLOps Maturity Assessment
Measure the MLOps maturity of your model development and deployment in 12 questions; see your level (0–4) and next steps.
Related articles
What Is MLOps? Why Models Never Reach Production
MLOps is the discipline of getting machine learning models into production reliably, and keeping them there. Its components, maturity levels, LLMOps and how it differs from AIOps.
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Learn more →Get a tailored training proposal
Tell us which programmes you are interested in, the number of participants and the preferred format, and we will prepare a tailored proposal.