What a MLOps intern does

The MLOps role, what you build at each level and what you need before you start.

Take machine learning models from notebooks to production: versioning, experiment tracking, model APIs, CI, monitoring and retraining.

What you build, level by level

Level 1: Foundations: What MLOps is, Reproducible environment, Train a baseline model and more.
Level 2: Building real features: Training pipeline, CI for ML, Model registry and more.
Level 3: Professional work and capstone: Data drift detection, Model monitoring dashboard, Automated retraining and more.

Where this work is used

Training Trains, W3AppDevelopers and DomainHostly use these skills in real projects: AI / Machine Learning Solutions. Interns who pass the readiness check can take paid-company work from the Company Work board in the portal.

Before you start

You should know Python and basic machine learning (training a scikit-learn model).

Tools and first-week setup →