Different phases in MLOps

MLOps Concepts

Folkert Stijnman

ML Engineer

MLOps lifecycle

Why the machine learning lifecycle?

• Structures the ML process
• Defines key players at each stage
• Toolkit for optimization

Design phase

 

• Context of the problem
• Added value
• Business requirements
• Key metrics
• Data processing

Development phase

 

• Develop machine learning model
• Experiment with data, algorithms, and hyperparameters
• Model ready for deployment

Deployment phase

 

• Integrate the machine learning model in business
• Deploying the model in production
• Monitoring the performance

MLOps lifecycle

Let's practice!

MLOps Concepts