1. Getting Started with MLOps
  2. MLOps Architecture and Components
  3. MLOps Infrastructure and Tools
  4. What are Machine Learning Systems?
  5. Data Preparation and Model Development
  6. Model Deployment and Serving
  7. Continuous Delivery of Machine Learning Models
  8. Continual Learning
  9. Continuous Monitoring, Logging, and Maintenance