Roadmap to become MLOps. The 6 points, ordered plan on things to learn.
1. Data Management Understand the data pipeline, data governance, and data quality.
2. Experimentation Learn about experimentation frameworks, version control, and reproducibility.
3. Model Development Understand model development life cycle, model training, and tuning.
4. Model Deployment Learn about model deployment, A/B testing, and canary releases.
5. Model Monitoring Understand how to monitor models in production, and how to detect and diagnose issues.
6. Automation Learn about automation tools, such as Jenkins and Ansible, to automate ML workflows.
graph TD; Data_Management-->Experimentation; Experimentation-->Model_Development; Model_Development-->Model_Deployment; Model_Deployment-->Model_Monitoring; Model_Monitoring-->Automation;