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MLOps Complete

Model deployment, monitoring, CI/CD for ML, MLflow, Kubeflow.

Course Duration: 12 hours​

What You'll Learn​

  • ML lifecycle management
  • Model versioning
  • Experiment tracking
  • Model deployment
  • Monitoring and observability
  • CI/CD for ML

Prerequisites​

  • ML/DL experience
  • Basic DevOps knowledge

Course Modules​

  1. Introduction to MLOps
  2. ML Lifecycle
  3. MLflow Tracking
  4. MLflow Models
  5. MLflow Registry
  6. DVC for Data Versioning
  7. Model Serving (FastAPI, BentoML)
  8. Docker for ML
  9. Kubernetes Basics
  10. Kubeflow Pipelines
  11. Model Monitoring
  12. CI/CD for ML (GitHub Actions)

Tools Covered​

  • MLflow
  • DVC
  • Weights & Biases
  • Kubeflow
  • BentoML
  • Seldon Core